Mattress and system for enhancing learning ability and improving liver toxicity

Abstract

The present invention relates to a mattress and system for enhancing learning ability and improving liver toxicity and, according to embodiments, the mattress may maximize an earthing effect of electrically connecting a user to nature (Earth) by grounding two copper wire fabrics. Accordingly, reactive oxygen species are neutralized and an acidified constitution is improved by discharging harmful static electricity generated by friction between fabric and the user during sleep and introducing free electrons of the Earth into the human body, so as to enable the user to realize a life of well-being. In addition, since the two copper wire fabrics constituting the mattress are formed into a woven fabric through a weaving process such that a plurality of copper wires and threads intersect with one another, copper wires are not damaged even if the mat is folded or used in various forms, and high earthing efficiency is provided by maintaining a state in which the copper wires are evenly distributed.

Description

Mattress and system for improving learning ability and liver toxicity

[0001] The embodiments of the present disclosure relate to a mattress and a system thereof, and to a mattress and a system for improving learning ability and improving liver toxicity.

[0002] Static electricity can be generated within the human body when the electrical balance between positive (+) and negative (-) charges is disrupted due to various causes. This static electricity accumulates in the body and adversely affects the bioelectrical nervous system; in particular, due to factors such as body temperature imbalance, the accumulation of toxins, muscle and blood vessel stiffness, and blood contamination, it can impair human health and become a major cause of disease.

[0003] Earthing is a principle that connects the conductive human body to the surface charge of the Earth, thereby naturally discharging static electricity accumulated within the body. The Earth's surface is rich in free charges, which are negative charges; through earthing, these free charges flow between the body and the Earth, restoring the body's electrical balance. Multidisciplinary research has revealed that earthing has positive effects on health, such as reducing inflammation, improving immune responses, and promoting wound healing.

[0004] For example, static electricity can be discharged by coming into contact with conductive surfaces such as soil or sand through natural earthing activities like walking barefoot; however, such activities are difficult to perform in urban living environments. Consequently, there is a growing need for grounding products that can serve as an alternative to the earthing effect in daily life. However, existing mat products have not been able to completely resolve the problem of static electricity accumulation caused by contact between the fabric and the human body.

[0005] Meanwhile, the body's normal body temperature (36.5°C) is essential for cell regeneration and energy production. Even a drop in body temperature of just 1°C to 1.5°C makes normal cell proliferation difficult, leading to the formation of incomplete cells, which in turn causes a failure to generate the energy needed to fight disease. If the decrease in body temperature persists, it creates an environment where cancer cells can easily proliferate, and blood vessels constrict, hindering smooth blood circulation.

[0006] Therefore, a mattress and system are needed to improve learning ability and reduce liver toxicity by performing earthing while maintaining the body temperature at a normal level.

[0007] Embodiments of the present disclosure may provide a mattress and system for improving learning ability and improving liver toxicity.

[0008] The technical problems to be solved in the embodiments are not limited to those mentioned above, and other unmentioned technical problems may be considered by those skilled in the art from the various embodiments described below.

[0009] A mattress generating an earthing effect according to one embodiment comprises: a fabric forming the exterior of the mattress; a plurality of copper wire fabrics in the form of a fabric woven such that a plurality of copper wires and a plurality of threads intersect each other and are conductive, wherein the plurality of copper wire fabrics include a first copper wire fabric and a second copper wire fabric; an earthing member electrically connected to the plurality of copper wire fabrics, drawn out to the exterior of the fabric, and connected to an electrical outlet; a dot fabric in which a plurality of ceramics are arranged in a dot shape on the uppermost layer inside the fabric; a ceramic cotton layered and installed below the dot fabric; a ceramic raw stone fabric layered and installed below the ceramic cotton; a first wool cotton layered and installed below the ceramic raw stone fabric to help maintain body temperature; a first copper wire fabric layered and installed below the first wool cotton; a magnetic plate layered and installed below the first copper wire fabric to increase negative ions in the user's blood by magnetic field lines; a charcoal cotton layered and installed below the magnetic plate to provide an antibacterial effect; a second wool cotton layered and installed below the charcoal cotton. A porous cotton fabric having a plurality of holes formed therein is laminated and installed below a second wool cotton fabric, a second copper wire fabric is laminated and installed below the porous cotton fabric, a magnetic cotton fabric is laminated and installed below the second copper wire fabric, and a waterproof fabric is laminated and installed below the magnetic cotton fabric to block moisture and form the lowest layer, thereby allowing the human body to be grounded to the earth by means of the copper wire fabric and the earthing member to discharge static electricity accumulated in the body and introduce free electrons into the body.

[0010] According to the embodiments, the mattress can maximize the earthing effect by grounding two copper wire fabrics to electrically connect the user with nature (the earth). Through this, harmful static electricity generated by friction between the fabric and the user during sleep is discharged, and free electrons from the earth are introduced into the human body to neutralize active oxygen and improve an acidic constitution, thereby realizing a well-being lifestyle for the user. Furthermore, since the two copper wire fabrics constituting the mattress are formed into a fabric through a weaving process in which multiple copper wires and threads intersect, the copper wires are not damaged even if the mattress is folded or used in various forms, and high earthing efficiency is provided by maintaining an even distribution of the copper wires.

[0011] According to the embodiments, the mattress blocks positive current generated from the floor by placing a magnetic cotton surface at the bottom, and simultaneously provides the effect of effectively grounding and discharging positive current accumulated in the user's body through a copper fabric at the bottom that is in contact with the magnetic cotton surface.

[0012] According to the embodiments, the mattress includes a biosensor unit that can measure body temperature, blood flow signal intensity, skin conductivity, and heart rate in real time for each body region of the user.

[0013] According to the embodiments, the mattress can adjust the amount of heat generated in accordance with a body temperature maintenance mode command transmitted from a user terminal to a heating plate with built-in heating wires. By doing so, it can help activate cells and generate physical energy by restoring and maintaining the user's body temperature to a normal temperature.

[0014] The effects obtainable from the embodiments are not limited to those mentioned above, and other unmentioned effects can be clearly derived and understood by a person skilled in the art based on the detailed description below.

[0015] The accompanying drawings, included as part of the detailed description to aid in understanding the embodiments, provide various embodiments and explain the technical features of the various embodiments together with the detailed description.

[0016] FIG. 1 is a perspective view showing a mat according to one embodiment.

[0017] FIG. 2 is a perspective view showing an exploded mat according to one embodiment.

[0018] FIG. 3 is a conceptual diagram showing a copper wire and a conductive line according to one embodiment.

[0019] Figure 4 is a graph showing changes according to exposure by mat in the TMT liver toxicity model.

[0020] Figure 5 is a graph showing the change in memory of passive avoidance experiments according to exposure by mat in a TMT liver toxicity model.

[0021] Figure 6 is a graph showing the change in GPT over time according to exposure to each matt in the TMT liver toxicity model.

[0022] Figure 7 is a graph showing the change in body temperature according to exposure by mat in the TMT liver toxicity model.

[0023] Figure 8 is a graph showing the effects of muscle relaxation and pain according to exposure to different mats in a TMT liver toxicity model.

[0024] Figure 9 is a graph showing the effect on PGE2 according to exposure by matt in a TMT liver toxicity model.

[0025] Figure 10 is a graph showing the effects on IL4 and Il1-beta according to exposure to each matt in a TMT liver toxicity model.

[0026] Figure 11 shows a graph of the effect on CRF expression according to exposure by matt in a TMT liver toxicity model and the appearance of CRF expression.

[0027] FIG. 12 is a drawing showing a system including a mattress according to one embodiment.

[0028] The following embodiments are combinations of the components and features of the embodiments in a predetermined form. Each component or feature may be considered optional unless otherwise explicitly stated. Each component or feature may be implemented in a form not combined with other components or features. Additionally, various embodiments may be constructed by combining some components and / or features. The order of operations described in various embodiments may be changed. Some components or features of one embodiment may be included in another embodiment, or may be replaced with corresponding components or features of another embodiment.

[0029] In the description of the drawings, procedures or steps that could obscure the essence of the various embodiments were not described, nor were procedures or steps that can be understood by a person of ordinary knowledge in the relevant technical field described.

[0030] Throughout the specification, when a part is described as "comprising" or "including" a component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Furthermore, terms such as "...part," "...unit," and "module" as used in the specification refer to a unit that performs at least one function or operation, and this may be implemented in hardware, software, or a combination of hardware and software. Additionally, "one (a or an)," "one," "the," and similar related terms may be used in the context describing various embodiments (particularly in the context of the following claims) in both singular and plural forms, unless otherwise indicated in the specification or clearly contradicted by the context.

[0031] Hereinafter, embodiments according to various examples will be described in detail with reference to the accompanying drawings. The detailed description disclosed below, together with the accompanying drawings, is intended to describe exemplary embodiments of various examples and is not intended to represent the only embodiment.

[0032] In addition, specific terms used in various embodiments are provided to aid in understanding the various embodiments, and the use of such specific terms may be modified in other forms within the scope of not departing from the technical concept of the various embodiments.

[0033] Hereinafter, the mat (1000) of the present disclosure will be described with reference to FIGS. 1 to 3.

[0034] FIG. 1 is a perspective view showing a mat according to one embodiment. FIG. 2 is an exploded perspective view showing a mat according to one embodiment. FIG. 3 is a conceptual diagram showing a copper wire and a conductive line according to one embodiment. The embodiments of FIG. 1 to 3 may be combined with various embodiments of the present disclosure.

[0035] The mat (1000) of the present disclosure may be a mattress that exhibits an earthing effect by grounding the human body to the earth. For example, the mat (1000) of the present disclosure electrically connects the user with nature, that is, by generating an effect as if the user were resting or sleeping on natural soil, thereby discharging static electricity accumulated in the body caused by contact between the fabric (110) and the human body and introducing free electrons into the body, thereby removing active oxygen and the like from the user's body and preventing acidification, and ultimately promoting health.

[0036] To this end, the mat (1000) of the present disclosure may include a fabric (110), a dot cloth (120), a ceramic cotton cloth (130), a ceramic raw stone cloth (140), a heating plate (150), a first wool cotton cloth (160), a first copper wire cloth (170), a magnetic plate (180), a charcoal cotton cloth (190), a second wool cotton cloth (200), a porous cotton cloth (210), a second copper wire cloth (220), a magnetic cotton cloth (230), a waterproof cloth (240), an earthing member (300), and a biosensor part (400).

[0037] The fabric (110) is a cover member and may be composed of 60% cotton, 30% poly (various composite synthetic fibers), and 10% TPU (Thermoplastic Polyurethane), but the raw materials, physical properties, and weight ratios of the fabric (110) of the mat (1000) of the present disclosure are not limited thereto. Meanwhile, the bottom surface of the fabric (110) may be formed of a waterproof cloth (240), and a dot cloth (120), ceramic cotton cloth (130), ceramic raw stone cloth (140), heating plate (150), first wool cotton cloth (160), first copper wire cloth (170), magnet plate (180), charcoal cotton cloth (190), second wool cotton cloth (200), porous cotton cloth (210), second copper wire cloth (220), and magnet cotton cloth (230) may be laminated and arranged in the internal space (inner side of the fabric) formed by the fabric (110) and the waterproof cloth (240). For example, a conductive thread (e.g., silver-coated fiber, copper fiber, or carbon fiber) may be woven by mixing it with the cotton fibers of the fabric (110) at a preset ratio. Through this, uniform conductivity is provided throughout the fabric (110), thereby enabling easy sensing of the user by the bio-sensor unit. For example, the preset ratio may be 15%. For example, the TPU is uniformly distributed on the surface of the fabric (110) to ensure light transmittance, thereby allowing the user to be easily sensed by the biosensor unit (400).

[0038] The dot cloth (120) is a component that forms the uppermost layer inside the fabric (110), that is, the dot cloth (120) is a cloth placed between the ceramic cotton (130) and the fabric (110), and a plurality of ceramics may be arranged. The plurality of ceramics may emit negative ions and far-infrared rays beneficial to the human body, and about 50,000 may be arranged in the cloth, but the number of ceramics in the dot cloth (120) of the mat (1000) of the present disclosure is not limited to this. For example, each of the plurality of ceramics may be embedded in the cloth in the form of a disc. At this time, the diameter of one disc may be 6 mm.

[0039] Meanwhile, in the mat (1000) of the present disclosure, the amount of negative ions and far-infrared rays absorbed into the body can be increased by placing the dot cloth (120) on the top layer, that is, by placing it as close as possible to the user.

[0040] The ceramic cotton (130) and the ceramic raw stone cloth (140) are components placed at the bottom of the dot cloth (120) and can enhance the negative ions and far-infrared rays emitted from the dot cloth (120).

[0041] The ceramic cotton (130) is a component placed on the upper layer of the ceramic raw stone cloth (140) and can enhance the effects of negative ion emission and far-infrared radiation emission. For example, the ceramic cotton (130) may be composed of 30% ceramic powder and 70% cotton, but the raw materials, physical properties, and weight ratio of the ceramic cotton (130) of the mat (1000) of the present disclosure are not limited thereto. For example, the ceramic powder is a ceramic material made of fine particles and may have the characteristics of emitting negative ions and far-infrared radiation. For example, the particle size of the ceramic powder may have a size between 10 and 50 micrometers.

[0042] The ceramic raw stone cloth (140) is a component disposed on the lower part of the ceramic cotton surface (130) and may be a cloth to which a plurality of ceramic maifan stones having a circular structure of a preset diameter are attached. For example, the preset diameter may be 26.5 mm. For example, the number of ceramic maifan stones may be 100 and may be attached to the cloth in an arranged form. The number of ceramic maifan stones of the ceramic raw stone cloth (140) of the mat (1000) of the present disclosure is not limited thereto.

[0043] The heating plate (150) may be a component placed between the ceramic raw stone cloth (140) and the first wool cotton (160). The heating plate (150) can regulate the overall temperature of the mat (1000) by transferring heat to the ceramic maifan stone constituting the ceramic raw stone cloth (140) to enhance the far-infrared radiation emission effect and by transferring heat to the first wool cotton (160). The heating plate (150) may be placed on the lower layer of the ceramic raw stone cloth (140). The heating plate (150) may have a heating wire embedded therein to generate heat, and the heating wire may be composed of a conductive material including a conductor such as nickel or chromium, and the outer surface of the heating wire may include an insulating material such as silicon or Teflon. For example, the heating plate (150) may be composed of a heating wire that generates heat, a heat-conducting layer that disperses the generated heat, and a protective layer that protects against external shocks. At this time, the heating wire may be placed in the middle layer to distribute heat uniformly. Therefore, when power is applied to the heating wire, heat is generated by the conductive material. For example, the heat-conducting layer may be composed of a highly conductive metal-based material such as aluminum or copper film. For example, a protective layer composed of silicone, Teflon, or PVC may be placed on top of the heat-conducting layer. The heating plate (150) can ensure stability through an electromagnetic shielding design. For example, electromagnetic waves can be blocked by the heat-conducting layer placed around the heating wire conducting heat while simultaneously absorbing electromagnetic waves emitted from the heating wire. For example, an electromagnetic shielding film in the form of a metal mesh may be additionally placed outside the heating wire to minimize electromagnetic waves emitted to the outside. In this case, the metal mesh may be composed of copper or aluminum. The heating plate (150) may be linked with a smart plug included in the earthing member (300) to control the temperature of the heating plate (150). In this case, the smart plug can perform the function of maintaining the user's body temperature at 36.5°C based on sensing information obtained from the bio-sensor unit (400).Through this, it prevents endocrine disruptors and restores the liver, activates cells to loosen hardened blood vessels and muscles to facilitate energy transfer, and furthermore, can perform the effect of balancing the negative and positive energies of negative ion potential action.

[0044] The first wool cotton (160) serves as a cushioning layer placed between the first copper wire fabric (170) and the fabric (110), and can provide a soft touch to the user. The first wool cotton (160) may be placed on the lower layer of the heating plate (150). For example, wool padding may be attached to the upper part of the first wool cotton (160) to provide a better texture to the user. For example, the first wool cotton (160) may be composed of 40% bio-fiber (for example, ceramic fiber; a fiber mixed with ceramic powder in a certain ratio capable of emitting far-infrared rays), 30% wool, and 30% low-melting-point fiber, thereby providing a texture with evenly distributed biocompatibility, cushioning, and stability. However, the raw materials, physical properties, and weight ratios of the first wool cotton (160) of the mat (1000) of the present disclosure are not limited to those described above.

[0045] The first copper wire fabric (170) is a component placed on the lower layer of the first wool cotton fabric (160), that is, the first copper wire fabric (170) is a conductive layer placed between the magnetic plate (180) and the first wool cotton fabric (160), and can generate an earthing effect through electrical interaction with the human body. To this end, the first copper wire fabric (170) may be composed of 55% copper wire (conductive material) and 45% thread (general fiber thread; non-conductive material), but the raw materials, physical properties, and weight ratio of the first copper wire fabric (170) of the mat (1000) of the present disclosure are not limited thereto. Meanwhile, the first copper wire fabric (170) may be characterized by being formed by weaving a plurality of copper wires and a plurality of threads so that they alternately cross each other up and down, and thus having a fabric shape. That is, the first copper wire fabric (170) can be prepared in the form of a fabric having various weave structures according to design requirements, with one of the warp and weft being a copper wire and the other being a thread. As described above, the first copper wire fabric (170) has a thin surface form in which copper wires are evenly arranged (for example, a plurality of copper wires may have a stripe pattern form in which multiple copper wires intersect each other perpendicularly, and multiple threads may have a stripe pattern form in which multiple threads intersect each other perpendicularly), so that the first copper wire fabric (170) behaves naturally in accordance with the shape of the mat (1000) of the present disclosure, so that when the mat (1000) of the present disclosure is folded and stored, the plurality of copper wires are not damaged, and when the mat (1000) of the present disclosure is used, the earthing efficiency can be increased by maintaining that the plurality of copper wires are evenly distributed regardless of the shape of the mat.

[0046] The magnetic plate (180) is a component placed on the lower layer of the first copper wire cloth (170), that is, the magnetic plate (180) is a magnetic plate placed between the charcoal cotton cloth (190) and the first copper wire cloth (170), and can increase negative ions in the user's blood through magnetic field lines and affect the autonomic nervous system to promote blood circulation, relieve fatigue, and treat diseases. The magnetic plate (180) may be formed in a form in which a plurality of magnets (for example, 48) generating a magnetic force of about 500 Gauss are arranged on a base (substrate), but the strength and number of magnets of the magnetic plate (180) of the mat (1000) of the present disclosure are not limited thereto.

[0047] The charcoal cotton (190) is a component disposed on the lower layer of the magnetic plate (180), that is, the charcoal cotton (190) is an antibacterial layer disposed between the second wool cotton (200) and the magnetic plate (180), and may be composed of 25% bio-fiber, 25% charcoal, and 30% low-melting point fiber, but the raw materials, physical properties, and weight ratio of the charcoal cotton (190) of the mat (1000) of the present disclosure are not limited thereto.

[0048] Meanwhile, as described above, the charcoal cotton (190) contains a large amount of charcoal and can exhibit antibacterial and dust collection effects, and as a result, even though the interior of the mat (1000) of the present disclosure is composed of various materials, it can provide a clean environment to the user by inhibiting bacterial growth.

[0049] The second wool cotton (200) is a component placed on the lower layer of the charcoal cotton (190), that is, a cushioning layer placed between the charcoal cotton (190) and the porous cotton (210), and can provide a soft touch to the user. In this case, the second wool cotton (200) is placed on the upper layer of the porous cotton (210) to provide a better texture to the user. For example, wool padding may be attached to the upper part of the second wool cotton (200) to provide a better texture to the user. Additionally, the second wool cotton (200) is composed of 40% bio-fiber (for example, ceramic fiber; capable of emitting far-infrared rays), 30% wool, and 30% low-melting-point fiber, thereby providing a texture with evenly distributed biocompatibility, cushioning, and stability.

[0050] The porous cotton (210) is a component placed on the lower layer of the second wool cotton (200), that is, it can be placed between the second wool cotton (200) and the second copper fabric (220). Multiple holes may be formed in the porous cotton (210). In this case, one hole has a diameter of 30 mm, and 20 holes may be formed in the porous cotton (210). Multiple holes may be formed in the porous cotton (210) in an arranged form. For example, multiple holes may be formed in the porous cotton (210) in a 5-row arrangement, with 4 holes in each row. Or, for example, multiple holes may be arranged in a curved arrangement along the spinal curve. Through this porous cotton (210), the user's body pressure can be dispersed and the natural alignment of the spine can be supported. The porous cotton (210) may be composed of 50% bio-fibers (e.g., ceramic fibers; capable of emitting far-infrared rays) and 50% low-melting point fibers. The number and arrangement of holes in the porous cotton (210) of the mat (1000) of the present disclosure are not limited thereto.

[0051] Meanwhile, at least one of the second wool cotton (200) and the porous cotton (210) in the mat (1000) of the present disclosure may contain a ceramic component, provided, however, that the raw materials, physical properties, and weight ratio of the second wool cotton (200) and the porous cotton (210) of the mat (1000) of the present disclosure are not limited to those described above.

[0052] The second copper wire fabric (220) is a component placed on the lower layer of the porous cotton (210), that is, the second copper wire fabric (220) is a conductive layer placed between the magnetic cotton (230) and the porous cotton (210), and can generate an earthing effect through electrical interaction with the human body. To this end, the second copper wire fabric (220) may be composed of 55% copper wire (conductive material) and 45% thread (general fiber thread; non-conductive material), but the raw materials, physical properties, and weight ratio of the second copper wire fabric (220) of the mat (1000) of the present disclosure are not limited thereto. Meanwhile, the second copper wire fabric (220) may be characterized by being formed by weaving a plurality of copper wires and a plurality of threads so that they alternately cross each other up and down, and thus having a fabric shape. That is, the second copper wire fabric (22) can be prepared in the form of a fabric having various weave structures according to design requirements, with one of the warp and weft being a copper wire and the other being a thread. As described above, the second copper wire fabric (220) has a thin surface form in which copper wires are evenly arranged (for example, a plurality of copper wires may have a stripe pattern form in which multiple copper wires intersect each other perpendicularly, and multiple threads may have a stripe pattern form in which multiple threads intersect each other perpendicularly), so that the second copper wire fabric (220) behaves naturally in accordance with the shape of the mat (1000) of the present disclosure, so when the mat (1000) of the present disclosure is folded and stored, the plurality of copper wires are not damaged, and when the mat (1000) of the present disclosure is used, the earthing efficiency can be increased by maintaining the even distribution of the plurality of copper wires regardless of the shape of the mat.

[0053] In addition, by using multiple copper wires (first copper wire (170), second copper wire (220)), the electrically conductive area can be expanded and the earthing efficiency can be further increased.

[0054] The magnetic cotton surface (230) is a component placed on the lower layer of the second copper wire fabric (220), that is, the magnetic cotton surface (230) may be a magnetic insert type cotton surface placed between the waterproof fabric (240) and the second copper wire fabric (220). The magnetic cotton surface (230) can increase negative ions in the user's blood and affect the autonomic nervous system through the magnetic field lines of the inserted magnet, thereby promoting blood circulation, relieving fatigue, and showing effects in treating diseases. The magnetic cotton surface (230) may have a plurality of holes formed in the same shape as the porous cotton surface (210). For example, 20 holes may be formed in the magnetic cotton surface (230), and the diameter of one formed hole may be 30 mm. At this time, the plurality of holes may be formed in the same shape as the arrangement in the porous cotton surface (210). A magnet may be inserted into each of the plurality of holes, and the direction of the magnet's south pole may be positioned to face the second copper wire (220). For example, the magnet may be inserted into the hole so that its south pole is electrically in contact with the second copper wire (220). For example, one magnet may be approximately 1500 Gauss. Additionally, by placing the magnetic cotton (230) at the bottom of the mat (1000), positive current generated from the floor can be blocked, and at the same time, accumulated positive current in the user's body can be grounded and discharged through the second copper wire (220). The magnetic cotton (230) may be composed of 50% bio-fiber (for example, ceramic fiber; capable of emitting far-infrared rays) and 50% low-melting-point fiber; however, the raw materials, physical properties, and weight ratio of the magnetic cotton (230) of the mat (1000) of the present disclosure are not limited to those described above.

[0055] The waterproof cloth (240) may be a waterproof cover that covers at least a portion of the bottom surface of the fabric (110). Accordingly, in the mat (1000) of the present disclosure, bottom moisture can enter the interior through the bottom surface of the fabric (110), thereby preventing the occurrence of mold and the proliferation of bacteria.

[0056] The earthing member (300) may be a component that is electrically connected to the first copper wire (170) and the second copper wire (220), and is drawn out to the outside of the fabric (110) and connected to an outlet. That is, the first copper wire (170) and the second copper wire (220) are electrically connected to an outlet by the earthing member (300), and as a result, the first copper wire (170) and the second copper wire (220) are grounded, so that when a user sits on them, the human body is grounded to the earth, which can generate an earthing effect that discharges static electricity accumulated in the body and introduces free electrons into the body. In addition, the earthing member (300) is electrically connected to the bio-sensor unit (400), so that it can obtain sensing information from the bio-sensor unit (400) and determine information about the user's condition. To this end, the earthing member (300) may include a plurality of connectors (310), lead wires (320), and smart plugs (330).

[0057] A plurality of connectors (310) may include a first type connector electrically connected to the copper wire fabric and a second type connector electrically connected to the sensor. A first type connector may be placed on the first copper wire fabric (170) so as to be electrically connected to at least some of the plurality of copper wires of the first copper wire fabric (170), and another first type connector may be placed on the second copper wire fabric (220) so as to be electrically connected to at least some of the plurality of copper wires of the second copper wire fabric (220). Preferably, a first type connector may be placed in the form of a circular plate at the corner (edge) of the lower surface of the copper wire fabric or nearby therefrom. As a result, in the mat (1000) of the present disclosure, the first type connector of the earthing member (300) can have a compact configuration while maximizing the contact area with the plurality of copper wires of the copper wire fabric, thereby increasing earthing efficiency. A second type of connector is connected to the bio-sensor unit (400) so that the sensed signal can be transmitted to the smart plug (330) via the lead line (320). Since there is a high possibility that the wireless signal will be absorbed or interfered with by the mat (1000) when transmitting and receiving signals via wireless communication with the bio-sensor unit (400), the bio-sensor unit (400) is connected to the smart plug (330) via a wire so that bio-information can be stably transmitted to the smart plug (330).

[0058] The lead wire (320) may be a cable wire drawn from each of the plurality of connectors (310). Meanwhile, the lead wire (320) of the connector placed on the first copper wire cloth (170) may be drawn out sequentially to penetrate from the magnet plate (180) to the magnet face (230), and finally exposed to the outside through a hole (241) provided in the waterproof cloth (240). The lead wire (320) of the connector placed on the second copper wire cloth (220) may be drawn out to penetrate the magnet face (230), and finally exposed to the outside through a hole (241) provided in the waterproof cloth (240). The lead line (320) of the connector placed in the bio-sensor part (400) can be drawn out to pass through sequentially from the dot cloth (120) to the magnetic surface (230), and finally exposed to the outside through a hole (241) provided in the waterproof cloth (240). As a result, in the mat (1000) of the present disclosure, the conductive line of the earthing member (300) is neatly formed, thereby increasing user convenience.

[0059] The smart plug (330) can be placed at the end of the lead wire (320) and inserted into an external outlet. The smart plug (330) may include a first plug terminal that receives power from the connected outlet, a second plug terminal configured in the form of two grooves exposed to the outside to perform the function of a ground terminal, and a control unit. The control unit may include at least one processor, a memory, a communication unit, and a circuit electrically connected to the first plug terminal and the second plug terminal.

[0060] The smart plug (330) can detect whether grounding is properly performed for the outlet to which the smart plug (330) is connected. For example, the smart plug (330) may further include a light-emitting part, and the light-emitting part may indicate whether it is connected to an earth terminal (earthing plug), and may display light of a different color depending on whether it is electrically connected to the earth terminal. For example, if the smart plug (330) is electrically connected to the earth terminal, it may be configured to emit green light through the light-emitting part provided inside the smart plug (330). Additionally, if the smart plug (330) connected to the outlet is not electrically connected to the earth terminal, it may be configured to emit red light through the light-emitting part provided inside the smart plug (330).

[0061] The smart plug (330) may include a first plug terminal (121) that receives power directly from an outlet and a second plug terminal (122) that contacts a ground pin formed on the smart plug (330). For example, the first plug terminal (121) may have two protruding shapes, and the second plug terminal (122) may have two groove shapes.

[0062] The control unit may have a circuit that controls the light-emitting unit to emit light in a different color (e.g., red or green) depending on whether the second plug terminal is connected to the earth terminal or whether the outlet connected to the smart plug (330) is connected to the earth terminal. For example, the light-emitting unit may emit light of at least two colors. For example, the light-emitting unit may emit light in red or green. For example, the light-emitting unit may include a plurality of light-emitting diodes (LEDs). The light-emitting unit may be connected to the control unit.

[0063] Meanwhile, the smart plug (330) may be equipped with a user button that determines whether to connect when inserted into an external outlet. Therefore, the user can generate an earthing effect by selectively turning on the user button only when sleeping or resting, while keeping the smart plug (330) always inserted into the outlet. The smart plug (330) may include a touch portion and can recognize the user's touch through the touch portion. For example, the touch portion may recognize the user's touch (or approach) through a pressure-sensitive electrode, an electrostatic electrode, and / or various sensors. That is, a button that turns on / off by the user's touch may be used as the user button. For example, when the user turns on the user button by the user's touch, the outlet connected to the smart plug (330) is connected to the earth terminal, and the light-emitting portion may emit green light. Accordingly, the user can visually check whether the mat (1000) of the present disclosure is currently operating.

[0064] Meanwhile, in a modified example (not shown) of the mat (1000) of the present disclosure, a leakage detection device that detects a leakage current around the outlet may be installed on the smart plug (330). Accordingly, the user can prevent the leakage current from suddenly flowing into the user through the copper wire by turning on the user button of the mat (1000) of the present disclosure only when no leakage current is detected.

[0065] The processor may, for example, execute software to control at least one other component (e.g., a hardware or software component) of a device connected to the processor and perform various data processing or operations. According to one embodiment, as at least part of the data processing or operations, the processor may store commands or data received from other components (e.g., a sensor unit or a communication unit) in volatile memory, process the commands or data stored in volatile memory, and store the resulting data in non-volatile memory. According to one embodiment, the processor may include a main processor (e.g., a central processing unit or an application processor) or an auxiliary processor (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor.

[0066] Artificial intelligence models can be generated through machine learning. Such learning may be performed, for example, on the device itself where the artificial intelligence model is executed (e.g., smart plug (330)), or through a separate server (e.g., management server). Learning algorithms may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but are not limited to the examples described above. Artificial intelligence models may include multiple artificial neural network layers. The artificial neural network may be a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), deep Q-networks, or a combination of two or more of the above, but are not limited to the examples described above. Artificial intelligence models may include software structures, either additionally or as a substitute, in addition to hardware structures.

[0067] Memory can store various data used by at least one component of the device (e.g., a processor). The data may include, for example, input data or output data for software and related instructions. Memory may include volatile memory or non-volatile memory.

[0068] The communication unit may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the device and an external device, and the performance of communication through the established communication channel. The communication unit may include one or more communication processors that operate independently of the processor and support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication unit may include a wireless communication module (e.g., a cellular communication module, a short-range wireless communication module, or a GNSS (global navigation satellite system) communication module) or a wired communication module (e.g., a LAN (local area network) communication module, or a power line communication module). The corresponding communication module among these communication modules may communicate with an external device through a first network (e.g., a short-range communication network such as Bluetooth, WiFi (wireless fidelity) direct, or IrDA (infrared data association)) or a second network (e.g., a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips).

[0069] Throughout this specification, the terms neural network, neural network, and network function may be used interchangeably. A neural network may consist of a set of interconnected computational units, which may generally be referred to as “nodes.” These “nodes” may also be referred to as “neurons.” A neural network is composed of at least two nodes. The nodes (or neurons) constituting neural networks may be interconnected by one or more “links.”

[0070] In a neural network, two or more nodes connected via links can form a relative relationship between an input node and an output node. The concepts of input and output nodes are relative; any node in an output node relationship with respect to one node may be in an input node relationship with respect to another node, and vice versa. As previously mentioned, the input node versus output node relationship can be generated based on links. One or more output nodes may be connected to a single input node via links, and vice versa.

[0071] In a relationship between an input node and an output node connected through a single link, the value of the output node can be determined based on data input to the input node. Here, the nodes interconnecting the input node and the output node may have weights. The weights may be variable and may be varied by a user or an algorithm to enable the neural network to perform the desired function. For example, if one or more input nodes are interconnected to a single output node by respective links, the output node value may be determined based on the values ​​input to the input nodes connected to the output node and the weights set on the links corresponding to each input node.

[0072] As described above, a neural network is formed in which two or more nodes are interconnected through one or more links to create input-output node relationships within the network. The characteristics of a neural network can be determined by the number of nodes and links within the network, the relationships between the nodes and links, and the weight values ​​assigned to each link. For example, if two neural networks exist with the same number of nodes and links but different weight values ​​between the links, the two neural networks can be recognized as being different from each other.

[0073] The biosensor unit (400) may be attached to the upper layer of the dot cloth (120). The biosensor unit (400) may detect the user's biological state and generate an electrical signal or data value corresponding to the detected state. The biosensor unit (400) may include at least one processor, memory, infrared temperature sensor, skin conductivity sensor, and photoplethysmography sensor. For example, the infrared temperature sensor, skin conductivity sensor, and photoplethysmography sensor may each be an ultra-thin sensor and may be attached to the upper layer of the dot cloth (120). Ultra-thin refers to a form designed to be very thin and flexible. For example, the infrared temperature sensor, skin conductivity sensor, and photoplethysmography sensor may each be an ultra-thin sensor with a thickness of 2 mm or less. The infrared temperature sensor may detect the user's body temperature in a non-contact manner. The infrared temperature sensor may collect infrared rays emitted from the surface of the user's skin, convert the infrared rays into a voltage signal through a thermoelectric element inside the sensor, and convert the converted voltage signal into a temperature value and output it. At this time, infrared temperature sensors can be positioned according to the user's body regions to sense the user's body temperature. For example, the user's body regions may include a first region, which is the user's head region; a second region, which is the user's torso region; a third region, which is the user's right arm region; a fourth region, which is the user's left arm region; a fifth region, which is the user's right leg region; and a sixth region, which is the user's left leg region. Skin conductivity sensors can detect electrical conductivity of the user's skin. Skin conductivity sensors can detect electrical conductivity through changes in capacitance between the user's skin and the sensor. For example, skin conductivity sensors can detect changes in capacitance based on electrical characteristics of the user's skin surface (e.g., increased conductivity due to sweat separation), and convert the changes in capacitance into electrical signals to output skin conductivity. At this time, skin conductivity sensors can be positioned according to the user's body regions to sense the user's skin conductivity.Skin conductivity can be measured in microSiemens. The photoplethysmography sensor transmits light to the user's skin via an LED light source and measures the amount of light reflected or absorbed according to blood flow using an optical sensor, thereby outputting blood flow signal intensity and heart rate. In this case, the photoplethysmography sensor is positioned in different body regions to sense the user's blood flow signal intensity and heart rate. Blood flow signal intensity can be measured in millivolts. Blood flow volume can be predicted based on this blood flow signal intensity, and a higher intensity indicates a greater blood flow volume. Through this, the user's stress level or the response of the autonomic nervous system can be predicted.

[0074] The biosensor unit (400) can sense bio-information of a user located on the fabric (110). For example, the biosensor unit (400) may further include a pressure sensor. For example, the time from a first point in time when the pressure sensor detects a pressure exceeding a preset pressure to a second point in time when it detects a pressure below a preset pressure may be the operating time during which the infrared sensor, skin conductivity sensor, and photoplethysmography sensor perform sensing. The preset pressure may be set based on the user's body weight. An ultra-thin sensor may be used for the pressure sensor. The biosensor unit (400) can transmit bio-information to the smart plug (330). For example, the biosensor unit (400) may transmit bio-information sensed by the infrared sensor, skin conductivity sensor, and photoplethysmography sensor during the operating time to the smart plug (330) in time intervals. For example, the bio-information may include the temperature, blood flow signal strength, and skin conductivity for each body area of ​​the user, as well as the user's heart rate.

[0075] Additionally, for example, the biosensor unit (400) may further include an IR sensor that measures the distance between the user and the biosensor unit (400). Through this, the biosensor unit (400) can transmit the value of the distance between the user and the biosensor unit (400) to the smart plug (330) by including it in the bio information.

[0076] The smart plug (330) can receive the user's body information from a user terminal that has established a prior connection with the smart plug (330). That is, the user terminal that has established a prior connection with the smart plug (330) can transmit the user's body information to the smart plug (330). The user terminal may be a terminal of a user using the mat (1000) of the present disclosure. For example, the user terminal may be implemented as various devices including a smartphone, mobile phone, smart TV, set-top box, tablet PC, laptop computer, desktop, wearable device, etc. An application for controlling the mat (1000) of the present disclosure, which includes the smart plug (330), may be pre-installed on the user terminal. For example, the user terminal may establish a wireless connection with the smart plug (330) through the pre-installed application. For example, the user terminal may transmit the user's body information to the smart plug (330) through the pre-installed application. The user's body information may include the user's height, the user's weight, the user's gender, and the user's age.

[0077] The smart plug (330) can determine user status information based on biometric information and user's body information. User status information may include the user's body temperature change rate, the user's liver toxicity status value, the user's pain status value, the user's cytotoxicity status value, and the user's stress level value. The user's body temperature change rate may be the user's body temperature change rate during operation time. The user's body temperature change rate may be determined as a value between 0 and 1. If the user's body temperature change rate is 0, it indicates a normal state; if it is 0.3, it indicates a state where a slight change in body temperature has occurred (change of about ±0.2°C); if it is 0.5, it indicates a state where a moderate change in body temperature has occurred (change of about ±0.5°C); if it is 0.7, it indicates a state where the body temperature is outside the normal range (change of about ±1.0°C); and if it is 1, it indicates a state where the body temperature change is very severe and body temperature regulation has failed (change of more than ±2°C).

[0078] The value of the user's hepatotoxicity status is a value that predicts the degree of impairment of the user's liver function and may be a value predicted based on the user's blood flow signal intensity, HRV (heart rate variability), and skin conductivity during operation time. The value of the user's hepatotoxicity status may be determined as a value between 0 and 1. A value of 0 indicates that liver function is normal, a value of 0.3 indicates a state of mild liver dysfunction, a value of 0.5 indicates a state of moderate liver dysfunction, a value of 0.7 indicates a state of clearly progressing liver dysfunction, and a value of 1 indicates a state of severe liver dysfunction.

[0079] The value for the user's pain state is a value that predicts the degree of the user's pain response and may be a value predicted based on the user's heart rate, HRV, and skin conductivity during the operation time. The value for the user's pain state can be determined as a value between 0 and 1. A value of 0 indicates a normal state, a value of 0.3 indicates a state of mild pain, a value of 0.5 indicates a state of moderate pain or worse, a value of 0.7 indicates a state of severe pain, and a value of 1 indicates a state of very severe pain.

[0080] The value for the user's cytotoxicity status is a value that predicts the balance between the user's inflammatory and anti-inflammatory responses, and may be a value predicted based on the user's blood flow signal intensity and body temperature. The value for the user's cytotoxicity status can be determined as a value between 0 and 1. A value of 0 indicates a normal state, a value of 0.3 indicates a state of mild inflammation, a value of 0.5 indicates a state of moderate inflammation, a value of 0.7 indicates a state of severe inflammation, and a value of 1 indicates a very severe inflammation.

[0081] The value for the user's stress level is a value that predicts the degree of the user's stress response and may be a value predicted based on the user's skin conductivity, HRV, and heart rate. The value for the user's stress level can be determined as a value between 0 and 1. A value of 0 indicates a normal state, a value of 0.3 indicates a state of mild stress, a value of 0.5 indicates a state of moderate stress, a value of 0.7 indicates a state of high stress, and a value of 1 indicates a state of extreme stress.

[0082] Additionally, according to one embodiment, the smart plug (330) can determine user state information through a state determination model that uses a neural network based on biometric information and user body information.

[0083] For example, an input vector can be generated through data preprocessing of biometric information and user's body information. Here, the input vector may include a value for the distance between the user and the biosensor, a value for the user's height, a value for the user's weight, a value for the user's gender, a value for the user's age, a temperature value for each body region of the user regarding the duration of operation, a blood flow signal intensity value for each body region of the user, a skin conductivity value for each body region of the user, and a value for the user's heart rate.

[0084] For example, the GRU model can be used for state decision models. The GRU model is a modified version of the RNN (Recurrent Neural Network). Since RNNs rely on past observations, problems such as vanishing gradients or exploding gradients can occur. The neural network model developed to address these issues is the LSTM (Long Short Term Memory Network). By replacing the nodes within the LSTM with memory cells, it is possible to accumulate information or delete parts of past data. This allows for the mitigation of the vanishing gradients and the problem of exploding gradients found in RNNs. The GRU is a model that improves processing speed by simplifying the structure of the LSTM.

[0085] For example, a state decision model may include an input layer, one or more hidden layers, and an output layer. Each training data set, consisting of a plurality of input vectors and a plurality of correct answer user state information, is input into the input layer of the neural network, passes through the one or more hidden layers and the output layer, and is output as an output vector. The output vector is input into a loss function layer connected to the output layer, and the loss function layer outputs a loss value using a loss function that compares the output vector with the correct answer vector for each training data set, and the parameters of the state decision model may be trained in a direction that reduces the loss value.

[0086] Multiple correct user state information may be actual user state information for each of the multiple input vectors. That is, it may be user state information measured for each of the multiple users who have acquired the multiple input vectors. In this case, the user's hepatotoxicity status value included in the correct user state information may be determined based on the actual measured levels of GOT (Glutamate Oxaloacetate Transaminase) and GPT (Glutamate Pyruvate Transaminase). The user's pain status value included in the correct user state information may be determined based on the actual measured levels of PGE2 (Prostaglandin E2). The user's pain status value included in the correct user state information may be determined based on the actual measured levels of IL-1β (inflammatory cytokine) and L-4 (anti-inflammatory cytokine). The user's stress level value included in the correct user state information may be determined based on the actual measured levels of CRF (Corticotropin-Releasing Factor).

[0087] For example, multiple correct user status information can be pre-stored in a smart plug (330) and / or a management server.

[0088] For example, user state information may be output based on an input vector being input into a state determination model. For example, the control unit of the smart plug (330) may determine user state information through a state determination model that utilizes a neural network based on biometric information and user's body information. Alternatively, for example, the smart plug (330) may transmit biometric information and user's body information to a management server, the management server may determine user state information through a state determination model that utilizes a neural network, and the management server may transmit the determined user state information to the smart plug (330).

[0089] For example, after a second point in time when the pressure sensor included in the bio-sensor unit (400) detects a pressure that is lower than or equal to a preset pressure, the smart plug (330) can determine user status information based on bio-information and user's body information.

[0090] According to one embodiment, the heating wire can be electrically connected to the smart plug (330) through a wire.

[0091] The smart plug (330) can receive a message instructing the body temperature maintenance mode from a user terminal with which a prior connection has been established. That is, the user terminal with which a prior connection has been established can send a message instructing the body temperature maintenance mode to the smart plug (330). The body temperature maintenance mode may be a mode in which the heat emitted by the heating wire of the heating plate (150) is regulated by the smart plug (330) so that the user's body temperature is maintained at a preset target temperature. For example, the user terminal can send a message instructing the body temperature maintenance mode to the smart plug (330) through a pre-installed application.

[0092] Additionally, after a message instructing the smart plug (330) to maintain the body temperature mode is transmitted, the smart plug (330) can dynamically adjust the temperature of the heating wire so that the user's body temperature is maintained at a preset target temperature. At this time, the preset target temperature may be 36.5 degrees. For example, the smart plug (330) can compare the preset target temperature with the user's current body temperature and dynamically adjust the amount of heat emitted by the heating wire. That is, the smart plug (330) can dynamically adjust the amount of heat by comparing the preset target temperature with the user's current body temperature and controlling the amount of power supplied to the heating wire in real time. For example, if the user's current body temperature is lower than the preset target temperature, the smart plug (330) can determine an increase in power based on the value obtained by subtracting the user's current body temperature from the preset target temperature, and increase the amount of heat by supplying power reflecting the increase in power to the heating wire. Through this, the user's current body temperature can be raised. For example, if the user's current body temperature is higher than the preset target temperature, the smart plug (330) can determine the power non-supply time based on the value obtained by subtracting the preset target temperature from the user's current body temperature, and by not supplying power to the heating wire during the power non-supply time, the user's current body temperature can be reduced.

[0093] Additionally, for example, the increase in power consumption is It can be determined by. Here, T target is the preset target temperature, and T current is the current user's body temperature, W is the user's weight, H is the user's height, S is the gender correction factor, and k p is the power correction factor, and S bio can be a biological property correction factor.

[0094] The power consumption correction factor may be a coefficient that adjusts the power consumption when the heat generation increases. For example, result values ​​can be adjusted within a preset range through scaling based on the power consumption correction factor. The bio-characteristic correction factor is a correction factor based on the user's gender and age, and may be a coefficient that reflects the metabolic rate according to gender and age. For example, the bio-characteristic correction factor is It can be set by. Here, S is the correction value based on gender, A is the correction value based on age, and α s is the weight for gender, and β s This can be a weight for age. For example, the gender-based correction value can be set to 1 for males and 0.8 for females. For instance, the age-based correction value can be set to 0.8 for teenagers, 0.9 for those in their 20s, 1.0 for those in their 30s, and 1.1 for those in their 40s, increasing by 0.1 for each age group. Through this, the increase in power consumption can be effectively determined by reflecting the user's physical information, such as age, metabolic rate, and gender. The gender-based weight can be determined to be 0.6 for males and 0.4 for females. The age-based weight can be set to 0.5 for those in their teens to 30s, 0.7 for those in their 40s to 50s, and 1 for those 60 and older.

[0095] Additionally, for example, the power outage time It can be determined by. Here, T target is the preset target temperature, and T current is the current user's body temperature, W is the user's weight, H is the user's height, S is the gender correction factor, and k t is the non-supply time correction coefficient, ω is the physique correction constant, and S bio can be a biological property correction factor.

[0096] The non-supply time correction factor can be a factor that controls the scaling of the power non-supply time. For example, the non-supply time correction factor can be preset. The body size correction constant is a value for the stability of the logarithmic function and can be preset. Through this, unnecessary energy waste can be prevented by setting the optimal power non-supply time, i.e., the heat cutoff time, tailored to the user's body information.

[0097] Meanwhile, user status information may be determined by reflecting experimental results for evaluating the improvement of a user's health through the earthing effect of the mat (1000) of the present disclosure. Hereinafter, with reference to FIGS. 4 to 8, an experiment in which physiological / neurochemical indicators were measured to evaluate the earthing effect of the mat (1000) of the present disclosure will be described.

[0098] Figure 4 is a graph showing changes according to exposure by mat in the TMT liver toxicity model. Figure 5 is a graph showing changes in memory during a passive avoidance experiment according to exposure by mat in the TMT liver toxicity model. Figure 6 is a graph showing changes in GPT over time according to exposure by mat in the TMT liver toxicity model. Figure 7 is a graph showing changes in body temperature according to exposure by mat in the TMT liver toxicity model. Figure 8 is a graph showing the effects of exposure by mat on muscle relaxation and pain in the TMT liver toxicity model. Figure 9 is a graph showing the effects of exposure by mat on PGE2 in the TMT liver toxicity model. Figure 10 is a graph showing the effects of exposure by mat on IL4 and Il1-beta in the TMT liver toxicity model. Figure 11 shows a graph showing the effects of exposure by mat on CRF expression and the appearance of CRF expression.

[0099] The research method and scope of the experiment to measure physiological / neurochemical indicators to evaluate the earthing effect of the mat (1000) of the present disclosure are as follows.

[0100] (1) In order to establish an animal model of liver toxicity and to evaluate its behavior, a model was established by dissolving and diluting 1 mg / kg of TMT (Trimethyltin chloride) in 0.9% physiological saline to induce liver toxicity in white rats and administering it intraperitoneal injection (IP) once a day for 14 days starting 5 days after the start of rearing.

[0101] For the physicochemical analysis of a hepatotoxicity animal model, GOT (Glutamate Oxaloacetate Transaminase) and GPT (Glutamate Pyruvate Transaminase), indicators of hepatotoxicity, are measured in blood samples collected from white rats after exposure to the functional material.

[0102] (2) Regarding the normalization of body temperature, the effectiveness of normalizing body temperature is tested by measuring rectal temperature using a rectal thermometer before and 72 hours after administering TMT to white rats.

[0103] (3) Regarding muscle relaxation and pain suppression efficacy, the effects of the functional material on muscle relaxation and pain response are examined in a TMT animal model. In a hepatotoxicity animal model, the biochemical indicators for pain suppression are evaluated by measuring PGE2 (Prostaglandin E2), a pain indicator, in blood collected from white rats after exposure to the functional material.

[0104] (4) Regarding blood purification, in a hepatotoxicity animal model, after exposing white rats to a functional material, the levels of proinflammatory cytokines IL1-beta and anti-inflammatory cytokine IL4, which are indicators of blood purification, are measured in the blood collected to confirm cytotoxicity and blood circulation.

[0105] (5) In relation to Yin-Yang harmony, the functional material is measured by checking changes in cell activity (c-fos / corticosterone) in a stress animal model to determine if it regulates the balance of Yin and Yang.

[0106] Specifically, regarding the experimental animals, mature male Sprague Dawley rats (7 weeks old) were prepared and stabilized for one week. Then, to induce dementia and hepatotoxicity, 1 mg / kg of TMT (Sigma, 146498, St. Lous, MO, USA) was dissolved and diluted in 0.9% physiological saline and administered intraperitoneal injection once a day for 14 days, starting 5 days after the start of rearing. To suit the purpose of the experiment, the groups were divided into a normal group (saline, no earthing mat applied), a control group (TMT, no earthing mat applied), an Electric-21D group (TMT, electric mat applied for 21 days), an A-7D group (TMT, earthing mat A applied for 7 days), and an A-21D group (TMT, earthing mat A applied for 21 days) to conduct the experiment.

[0107] In relation to stress-free rearing conditions, maintain a constant temperature (23-25°C) and constant humidity (45-60%), light at 200-300 LUX for 12 hours / day, noise at 40 dB or less, and create an environment free from other stress stimuli with appropriate diet and water conditions.

[0108] Regarding the experimental materials, the test subject is an earthing mat (mat (1000) of the present disclosure), and the animal test groups (8-10 animals per group) are a normal group, a control group (TMT), an Electric-21D group (TMT, electric mat applied for 24 hours a day for 21 days), an A-7D group (TMT, earthing mat A applied for 24 hours a day for 7 days), and an A-21D group (TMT, earthing mat A applied for 24 hours a day for 21 days).

[0109] Regarding the administration of treatment and the induction of the animal model, animals were stabilized for at least 7 days prior to exposure to the target earthing mat. White rats were housed in cages equipped with the earthing mat and exposed for 24 hours a day for 7 and 21 days. Behavioral evaluation and sampling were conducted on the last day of earthing mat exposure. Through this, time-dependent behavioral, physiological, and neurochemical changes resulting from earthing mat exposure were verified.

[0110] The experiment is conducted with a total of five groups (normal group, control group, Electric-21D group, A-7D group, and A-21D group). After a one-week stabilization period following introduction, the animals are housed in cages equipped with combined earthing mats and electric heating pads, with two animals per cage, and the earthing mats and electric heating pads are applied. The normal group and control group, which do not have earthing mats applied, are housed in standard cages. A 12-hour light-dark cycle is applied to all animals, and water and food are provided freely.

[0111] A passive avoidance test is conducted for behavioral analysis. The passive avoidance experimental apparatus is divided into two zones: a bright chamber with lighting and a dark chamber, with a wire mesh floor. Each white rat is acclimatized in the bright chamber without the lights on for one minute, then the lights are turned on and acclimatized for two minutes; as soon as the mouse moves to the dark chamber, an electric shock of 0.5 mA is administered for one second. The day after the learning test, a test trial is conducted on each mouse. A white rat is placed in the brightly lit chamber, and the latency time (the time it takes for all four paws to enter) is set to within 300 seconds and executed.

[0112] In relation to the analysis of physiological and neurochemical markers, an enzyme-linked immunosorbent assay (ELISA) is used. GOT, GPT, IL1-beta, IL4, and PGE2 are measured.

[0113] On the 21st day of exposure to the functional material, Pentobarbital (50 mg / kg) is injected after exposure to induce deep sleep, after which the blood and brain are extracted. The blood is separated into plasma and serum by centrifugation, and the serum is stored in an ultra-low temperature freezer at -70°C. The hippocampus, the required part, is separated from the extracted brain and stored in an ultra-low temperature freezer at -70°C. Standard reagents are added to each well of the plate, and the measurement substrate is added. Additionally, purified water is added to the standard reagents and serum to the measurement sample wells, and the reactions are allowed to occur at room temperature; subsequently, the colorimetric reagent is added and the reaction is allowed to occur at room temperature. Then, a sodium hydroxide solution diluted 10-fold is added, and the absorbance is measured after 10 minutes.

[0114] Regarding rectal temperature measurement, the efficacy of normalizing body temperature is tested by measuring rectal temperature using a rectal thermometer before TMT administration and 72 hours later.

[0115] Regarding muscle and pain relaxation efficacy, the effects of the functional material on muscle relaxation and pain response are examined using the tail-immersion test after TMT administration. Animals are placed in a plastic confinement box, and their tails are submerged in water to a constant depth. The water temperature is maintained at approximately 50 degrees. The pain response is evaluated by measuring the difference between the time the animal is submerged in water and the time it withdraws its tail. The maximum response time is set to 30 seconds. The response time of normal animals was measured to be 4-8 seconds.

[0116] In relation to Yin-Yang harmony, the stress-related behavioral effects and neurohormonal mechanisms of earthing mats in male SD rats were investigated in advance. Male SD rats were randomly divided into four groups: a normal group, a control group (21 days of bondage stress), a 7-day earthing mat group (21 days of bondage stress + 7 days of earthing mat), and a 21-day earthing mat group (21 days of bondage stress + 21 days of earthing mat). Adrenocorticotropic hormone-releasing factor (CRF) and c-Fos expression in the brain were analyzed using immunohistochemistry.

[0117] For CRF (Immunohistochemistry of c-Fos and Corticotrophin Releasing Factor), male rats were perfused through a needle in the left ventricle of the heart with 100 mL of saline and pentobarbital sodium (100 mg / kg, ip) for 5 minutes, and about 500 mL of a 4% solution was injected. After formaldehyde perfusion in PBS (Phosphate Buffered Saline), the brain was removed from the skull and post-fixed in the same fixation solution at 4°C for 2 hours, then placed overnight in 20% sucrose in PBS at 4°C, and after freezing, the tubular portions cut on a microtome were sliced ​​to a thickness of 30 μm. CRF [24-29] and c-Fos [30-35] immunohistochemistry were performed separately. The primary antibodies were blocking solution (rabbit CRF polyclonal antibody, concentration 1:500; San-Tacruz Biotechnology, Delaware Avenue Santa Cruz, CA, USA) and c-Fos immunoreactive rabbit c-Fos polyclonal antibody (c-Fos, concentration 1:2000; Santacruz Biotechnology, Delaware Avenue Santa Cruz, CA, USA). The sections were incubated overnight at room temperature for 18 to 24 hours under free-floating conditions with gentle stirring. After rinsing with PBS, the sections were incubated at room temperature for 2 hours in biotinylated rabbit anti-rabbit serum (Vector Laboratories, Burlingame, CA, USA) diluted 100:1 in PBST (Phosphate Buffered Saline + Tween-20) containing 2% normal goat serum. The sections were then placed in Vectastain Elite ABC reagent (Vector Laboratories, Burlingame, CA, USA) for 2 hours at room temperature. After additional rinsing in PBS, the tissue is color-developed using diaminobenzidine chromogen with nickel enrichment.

[0118] The details and results of the research described above are as follows.

[0119] Referring to Figure 4, the results of a comparative analysis of changes in body weight, liver, and brain weight in animal models of TMT-induced hepatotoxicity by group and exposure to earthing mats in relation to toxicity neutralization are as follows.

[0120] It is known that long-term TMT administration leads to a decrease in animal body weight in animal models of hepatotoxicity caused by long-term TMT administration. Accordingly, in this experiment, changes in body weight following long-term TMT administration were measured.

[0121] Compared to the normal group, the control group showed a tendency for body weight decrease starting from day 14 of TMT administration, but no significance was observed. Compared to the control group, significant body weight loss was observed in the A-21D group on day 13 of TMT administration. Compared to the control group, significant body weight loss was observed in the Electric-21D group starting from day 11 of TMT administration. Compared to the normal group, significant liver weight loss was observed in the control group. Compared to the control group, significant liver weight loss was observed in the Electric-21D group. Compared to the control group, significant liver weight loss was observed in the A-21D group. No difference in brain weight was observed across all groups (Error bars represent the means ± SEM. SPSS One-way ANOVA, post-hoc Tukey's test, LSD, *<0.05 vs. Nor group, #<0.05 vs. Con group, ##<0.01 vs. Con group, ###<0.01 vs. Con group).

[0122] Referring to Figure 5, this is the result of a comparative analysis of memory for a passive avoidance experiment upon exposure to an earthing mat by group in an animal model of TMT-induced liver toxicity.

[0123] Passive avoidance experiments were conducted to verify the protection of memory and learning abilities against dementia in animal models of hepatotoxicity caused by long-term TMT administration upon exposure to earthing mats by group. The passive avoidance experiment is one of the representative tests for evaluating memory and learning abilities; it measures these abilities by training animals to enter a dark room through pain stimulation via electric shock, and then measuring the time taken to avoid entering the dark room over time.

[0124] Compared to the normal group, the time to enter the darkroom 48 and 72 hours after learning decreased in the control group, but no significance was observed. Compared to the control group, the time to enter the darkroom 24, 48, and 72 hours after learning decreased in the Electric-21D group, but no significance was observed. Compared to the control group, the time to enter the darkroom 24, 48, and 72 hours after learning decreased in the A-7D group, but no significance was observed. Compared to the control group, the time to enter the darkroom 24, 48, and 72 hours after learning decreased in the A-21D group, but no significance was observed. Compared to the normal group, the time to enter the darkroom 72 hours after learning significantly decreased in the A-7D group (Error bars represent the means ± SEM. SPSS One-way ANOVA, post-hoc Tukey's test, LSD, *<0.05 vs. Nor group).

[0125] Referring to Figure 6, the results of the analysis of changes in GOT and GPT activity according to group exposure to earthing mats in TMT-induced liver toxicity animal models are as follows.

[0126] Serum GOT and GPT levels were measured to confirm the protective effect against hepatotoxicity upon group-specific exposure to earthing mats in an animal model of hepatotoxicity induced by long-term TMT administration. GOT and GPT are enzymes that act in the liver and are representative indicators of hepatotoxicity, as they are released into the blood and increase in levels when there is liver dysfunction.

[0127] An increase in GPT was observed in the control group compared to the normal group 72 hours after 14 days of TMT administration (p*<0.05). An inhibitory effect on GPT was observed in the A21D group compared to the control group 72 hours after 14 days of TMT administration (p*<0.05). An increase in GOT was observed in the control group compared to the normal group at both 24 and 72 hours after 14 days of TMT administration (p*<0.01). An increase in GOT was observed in the A-7D and A-21D groups compared to the control group 24 hours after 14 days of TMT administration, but no significance was observed. Inhibition of GOT was observed in the A-7D and A-21D groups compared to the control group 72 hours after 14 days of TMT administration, but no significance was observed (Error bars represent the means ± SEM. One-way ANOVA, post-hoc Tukey's test, **<0.01 vs. Nor group).

[0128] Referring to Figure 7, the results of the analysis of changes in rectal body temperature according to group exposure to earthing mats in an animal model of TMT-induced hepatotoxicity in relation to body temperature normalization are as follows.

[0129] It is known that long-term TMT administration leads to a decrease in body temperature in animal models of hepatotoxicity caused by TMT. Accordingly, in this experiment, changes in body temperature following long-term TMT administration were measured.

[0130] Compared to the normal group, body temperature in the control group decreased significantly 72 hours after TMT administration (p*<0.05 vs. Nor group). Compared to the control group, a significant increase in body temperature was observed in the A-21D group after TMT administration (p#<0.05 vs. Con group).

[0131] Referring to Figure 8, the results show the muscle and pain relaxation efficacy according to group exposure to earthing mats in animal models of TMT-induced hepatotoxicity in relation to muscle relaxation and pain inhibition.

[0132] It is known that long-term TMT administration in animal models increases the pain response. Accordingly, this experiment verified the muscle relaxation effect and the efficacy of the functional mat in inhibiting pain responses.

[0133] As a result of examining the efficacy of the functional material on muscle relaxation and pain response using the tail-immersion test after TMT administration, the pain response significantly increased in the control group 72 hours after TMT administration compared to the normal group (p*<0.05 vs. Nor group). Significant muscle relaxation and analgesic effects were observed in the A-21D group after TMT administration compared to the control group (p#<0.05 vs. Con group).

[0134] Referring to Figure 9, the results show the change in PGE2, a pain relief indicator, according to group exposure to earthing mats in an animal model of TMT-induced hepatotoxicity.

[0135] As a result of examining the efficacy of the functional material on PGE2 using the tail-immersion test after TMT administration, the PGE2 response was significantly increased in the control group 72 hours after TMT administration compared to the normal group (p*<0.001 vs. Nor group). A significant inhibitory effect of TMT administration was observed in the A-21D group compared to the control group (p#<0.05 vs. Con group).

[0136] Referring to Figure 10, the results regarding the effects on IL4 and Il1-beta according to exposure to different matts in a TMT liver toxicity model in relation to blood purification are shown.

[0137] In an animal model of hepatotoxicity, cytotoxicity and blood circulation were confirmed by measuring IL1-beta, a proinflammatory cytokine and yin-yang indicator, and IL4, an anti-inflammatory cytokine, in blood collected after exposure to the functional material.

[0138] As a result of examining the efficacy of the functional material on IL4 and IL1-beta using the tail-immersion test after TMT administration, the IL1-beta response in the control group significantly increased 72 hours after TMT administration compared to the normal group (p*<0.05 vs. Nor group). A significant inhibitory effect of TMT administration was observed in the A-21D group compared to the control group (p#<0.05 vs. Con group). The IL4 response in the control group significantly decreased 72 hours after TMT administration compared to the normal group (p*<0.05 vs. Nor group). A significant increase in IL4 was observed in the A-21D group compared to the control group (p#<0.05 vs. Con group).

[0139] Referring to Figure 11, the results show the effect on CRF expression according to exposure to different mats in a TMT hepatotoxicity model in relation to Yin-Yang harmony.

[0140] Analysis of the CRF immune response in the paraventricular nucleus revealed that the number of CRF-positive neurons was 53.3 ± 6.2 in the normal group, 89.9 ± 6.7 in the control group, 63.5 ± 7.1 in the 7-day earthing mat group, and 70.0 ± 4.6 in the 21-day earthing mat group. Analysis of CRF expression showed that CRF expression was significantly increased in the control group compared to the normal group, while CRF expression was significantly decreased in the earthing mat group compared to the control group (Data represent means ± SEM. ***< 0.001 compared to Normal group, # P < 0.05, ## P < 0.01 compared to Control group).

[0141] As shown in the results above, the mat (1000) of the present disclosure can produce effects on the user regarding improved learning ability and reduced liver toxicity.

[0142] FIG. 12 is a drawing showing a system including a mattress according to one embodiment. The embodiment of FIG. 12 can be combined with various embodiments of the present disclosure.

[0143] Referring to FIG. 12, a system including a mattress (hereinafter, system) may include a smart plug (10), a mattress (20), a user terminal (30), and a management server (40).

[0144] The smart plug (10) can detect whether grounding is properly performed for the outlet to which the smart plug (10) is connected, and can control the heating plate of the mattress (20) so that the user's body temperature of the mattress (20) is maintained at a preset target temperature. For example, the smart plug (10) may be the smart plug (330) of FIG. 1 described above.

[0145] Additionally, the smart plug (10) can determine user status information based on biometric information sensed through the biometric sensor part of the mattress (20) and user body information received from the user terminal (30), and transmit it to the user terminal (30).

[0146] The mattress (20) is a mat electrically connected to the smart plug (10) and may be a mat that produces the effect of the user resting or sleeping on natural soil. By discharging static electricity accumulated in the body caused by contact between the fabric included in the mattress (20) and the human body, and introducing free electrons into the body, it can remove active oxygen and prevent acidification from the user's body, thereby promoting the user's health. For example, the mattress (20) may be the mat (1000) described above. For example, the mattress (20) may further include a static electricity amount sensor unit that includes a static electricity measurement sensor that measures static electricity generated when the fabric of the mattress (20) comes into contact with the body in a non-contact manner. For example, the static electricity amount sensor unit may be attached to the same layer as the bio-sensor unit (400) described above. That is, the static electricity amount sensor unit may be attached to the upper layer of the dot cloth (120) described above. For example, the electrostatic amount sensor unit may be connected to the smart plug (10) in the same manner as the bio-sensor unit (400) described above. Here, the electrostatic amount sensor unit may detect the operating state of the device (e.g., electrostatic amount or pressure) or the external environmental state (e.g., temperature or humidity) and generate an electrical signal or data value corresponding to the detected state. According to one embodiment, the electrostatic amount sensor unit may include, for example, at least one processor, memory, gyroscope sensor, barometric pressure sensor, magnetic sensor, electrostatic detection sensor, IR (infrared) sensor, temperature sensor, or humidity sensor.

[0147] The user terminal (30) may be a user terminal that has a prior connection established with the smart plug (10) described above.

[0148] The management server (40) is a server that manages the amount of static electricity discharged by a user based on information regarding the amount of static electricity discharged determined by the smart plug (10). The management server (40) can communicate with at least one of the smart plug (10) or the user terminal (30) through a short-range wireless communication network and / or a long-range wireless communication network. For example, the management server (40) can transmit and receive information with at least one of the smart plug (10) or the user terminal (30) and transmit a signal for a specific command.

[0149] For example, the electrostatic amount sensor unit may include an electrostatic detection sensor that detects the amount of electrostatic charge, an IR sensor that measures the distance between the user and the electrostatic detection sensor, a temperature sensor that measures the ambient temperature, and a humidity sensor that measures the ambient humidity. The mattress (20) can transmit information about the amount of electrostatic charge, information about the temperature, and information about the humidity measured through the electrostatic amount sensor unit to the smart plug (10).

[0150] Additionally, for example, the smart plug (10) can determine information about the amount of static electricity emitted by the user through a model for determining the amount of static electricity emitted using a neural network based on information about the amount of static electricity, information about temperature and humidity, and information about the user's body.

[0151] For example, a warning message may be transmitted to a user terminal based on the fact that the amount of static electricity emitted by the user during sleep exceeds a reference value. The sleep time may be determined as the time from a third point in time when the pressure sensed by the bio-sensor unit exceeds a preset sleep reference pressure to a fourth point in time when the pressure sensed by the bio-sensor unit is determined to be below the preset sleep reference pressure. The warning message may include information regarding the user's sleep time, the normal amount of static electricity emitted by the user, and the amount of static electricity emitted in excess of the normal amount of static electricity emitted.

[0152] The smart plug (10) can display the amount of static electricity emitted by the user during sleep on a display unit provided in the smart plug (10) based on information regarding the amount of static electricity emitted by the user. Here, the display unit can visually provide information to the outside (e.g., the user). For example, the display unit may include a display panel, a holographic device, or a control circuit for controlling said device. For example, the display unit may include a touch sensor set to detect a touch, or a pressure sensor set to measure the intensity of the force generated by said touch.

[0153] According to one embodiment, the state determination model and the electrostatic discharge amount determination model may be GRU (gated recurrent unit) based neural network models.

[0154] A GRU-based neural network may include an input layer, one or more hidden layers, and an output layer.

[0155] For example, an input vector can be generated through data preprocessing regarding information on static electricity, temperature and humidity, and user's body information. Here, the input vector may consist of values ​​for static electricity by body region, values ​​for the distance between the user and the static electricity sensor, values ​​for temperature by body region, values ​​for humidity by body region, values ​​for the user's height, values ​​for the user's weight, values ​​for the user's gender, values ​​for the user's age, values ​​for the user's average heart rate, and values ​​for the user's average oxygen saturation.

[0156] Each training data, consisting of a plurality of input vectors and a plurality of correct answer electrostatic discharge amounts for each body region, is input into the input layer of the neural network, passes through one or more hidden layers and an output layer to be output as an output vector, the output vector is input into a loss function layer connected to the output layer, the loss function layer outputs a loss value using a loss function that compares the output vector with the correct answer vector for each training data, and the parameters of the electrostatic discharge amount determination model can be trained in a direction in which the loss value becomes smaller.

[0157] Here, the correct electrostatic discharge amount per body region may be a correct vector representing the electrostatic discharge amount per body region corresponding to a single input vector. That is, the neural network may collect multiple training sets consisting of correct electrostatic discharge amounts per body region corresponding to the input vector. The neural network may be trained through the multiple collected training sets.

[0158] For example, one or more hidden layers may include one or more GRU blocks, and one GRU block may include a reset gate and an update gate. Here, the reset gate and the update gate may include a sigmoid layer. For example, the sigmoid layer is a sigmoid function ( ) can be a layer where ) is the activation function. For example, the hidden state is controlled through reset gates and update gates, and there may be weights corresponding to each gate and input.

[0159] Specifically, for example, the reset gate resets past information, and the weight r(t) derived through the previous hidden layer can be determined by Equation 1.

[0160]

[0161] For example, when a plurality of input vectors are input to an input layer, the reset gate takes a dot product with the current weight Wr when the current input value (xt) generated based on the plurality of input vectors is input, takes a dot product with the previous hidden state (h(t-1)) generated based on the plurality of input vectors and the previous weight Ur, and finally sums the two values ​​and inputs them to a sigmoid function so that the result can be output as a value between 0 and 1. Through this value between 0 and 1, it can be determined how much of the previous hidden state value will be utilized.

[0162] The update gate determines the update rate for past and present information, and z(t) is the amount of information at the current time, which can be determined by Equation 2.

[0163]

[0164] For example, when the input value (xt) at the current time point is input, it is taken as an inner product with the weight Wz at the current time point, and the hidden state (h(t-1)) at the previous time point is taken as an inner product with the weight Uz at the previous time point, and finally, the two values ​​are added and input into a sigmoid function so that the result can be output as a value between 0 and 1. Also, 1-z(t) can be multiplied by the information of the hidden layer (h(t-1)) at the previous time point.

[0165] Through this, z(t) can reflect how much current information is used and 1-z(t) can reflect how much past information is used.

[0166] The information candidate group for the current time point t can be determined by Equation 3 by multiplying the result of the reset gate.

[0167]

[0168] For example, when the input value (xt) at the current time point is input, the value obtained by taking the inner product with the weight Wh at the current time point and the value obtained by taking the inner product with the weight Uh at the previous time point and multiplying by r(t) can be input into the tanh function.

[0169] By combining the results of the update gate and the candidate group, the weight of the hidden layer at the current time can be determined by Equation 4.

[0170]

[0171] For example, the weight of the hidden layer at the current time point can be determined by the sum of the value obtained by multiplying the output value z(t) of the update gate by the hidden state (h(t)) at the current time point and the value obtained by multiplying the value 1-z(t) discarded by the update gate by the hidden state (h(t-1)) at the previous time point.

[0172] For example, dropout can be applied to neural networks used in state decision models and electrostatic discharge decision models. Here, dropout is a technique that removes neurons from interconnected layers with a probability between 0 and 1. For example, the dropout rate can be set to 0.5. In this case, if there are 4 neurons in a specific layer, each of the 4 neurons can be randomly removed with a probability of 0.5. This prevents overfitting of the preliminary scoring model.

[0173] Through this, parameters of the neural network trained by the state determination model and the electrostatic discharge amount determination model can be used. The state determination model can be trained to indirectly predict the user's body temperature change, the user's hepatotoxicity status, the user's pain status, the user's cytotoxicity status, and the user's stress level based on the user's heart rate, temperature, blood flow signal intensity, and skin conductivity for each of the user's body regions. Additionally, the electrostatic discharge amount determination model can rapidly output the user's electrostatic discharge amount while considering various variables that influence the actual electrostatic discharge amount.

[0174] Additionally, according to one embodiment, if a leakage current detection unit is added to the smart plug, the smart plug can detect whether there is a leakage of current around the outlet to which the smart plug is connected. For example, the smart plug can detect whether there is a leakage of current around the outlet to which the smart plug is connected through the leakage current detection unit.

[0175] If a short circuit is detected, the smart plug can send a short circuit notification message to the user terminal.

[0176] For example, the smart plug can cut off the power supplied to the smart plug from the connected outlet based on detecting a leakage current around the connected outlet. For example, based on the power supplied to the smart plug being cut off, the smart plug can send a leakage notification message to the user terminal using power supplied through the emergency battery.

[0177] If no leakage current is detected, the smart plug can determine whether multiple light-emitting diodes emit green light.

[0178] For example, if no leakage current is detected, when the smart plug is electrically connected to the earth terminal, multiple light-emitting diodes emit green light, and the smart plug can be determined to be in a grounded state.

[0179] For example, if a short circuit current is not detected, and the smart plug is not electrically connected to the earth terminal, multiple light-emitting diodes emit red light, and the smart plug can be determined to be ungrounded.

[0180] Based on the emission of green light, the smart plug can determine information regarding the user's electrostatic discharge amount through an electrostatic discharge amount determination model using a neural network, based on information regarding the amount of electrostatic discharge, information regarding temperature and humidity, and the user's body information.

[0181] Based on the emission of red light, the smart plug can transmit a confirmation message to the user terminal. Here, the confirmation message indicates that the outlet to which the smart plug is connected is not grounded, and may include, for example, information regarding the time when the lack of grounding was detected.

[0182] The smart plug can determine whether the user's total electrostatic discharge amount during sleep time is greater than or equal to a first reference value. For example, the first reference value is a reference value for the total electrostatic discharge amount and can be determined based on information regarding the amount of electrostatic charge, the user's body information, and information regarding temperature and humidity.

[0183] Additionally, for example, the first reference value can be determined by the following mathematical formula 5.

[0184]

[0185] In the above mathematical formula 5, Eth1 is the first reference value, _ is a weight according to the user's age and gender, h is a value for the user's height, w is a value for the user's weight, r is a value for the distance between the electrostatic amount sensor and the user, rd is a basic value for distance, m is a value for humidity, c is a value for temperature, and Vd1 may be a basic voltage for the first reference value.

[0186] For example, the default value for distance and the default voltage for the first reference value can be pre-stored in the smart plug and / or management server.

[0187] For example, the above α may have a larger value as the user's age approaches 35. In this case, if the user's age is the same but the gender is different, the value of α may be larger when the user's gender is male compared to when the user's gender is female. The above α may be a value greater than 0 and less than 1.5.

[0188] For example, if the normal electrostatic discharge amount for a user is the total electrostatic discharge amount for the user, the normal electrostatic discharge amount for the user can be determined as a first reference value.

[0189] Through this, the first reference value is not always set to a fixed value, but can be set to an appropriate reference value by considering the user's body information, ambient temperature and humidity, and the distance between the electrostatic charge sensor and the user.

[0190] For example, the first reference value may be determined as a default value if the number of times information regarding the user's electrostatic discharge amount is acquired is less than a preset number. For example, if the number of times information regarding the user's electrostatic discharge amount is acquired is greater than or equal to a preset number, the reference value may be determined as an average value based on the acquired information regarding the user's electrostatic discharge amount. Here, the average value may include an average value for the total electrostatic discharge amount or an average value for the electrostatic discharge amount by body area. For example, the preset number may be 10 times.

[0191] Based on the fact that the total amount of electrostatic discharge from a user during sleep time is less than a reference value, the smart plug can determine whether the amount of electrostatic discharge from any one of a plurality of body regions is greater than or equal to a second reference value. The plurality of body regions may include a first region which is the user's head region, a second region which is the user's torso region, a third region which is the user's right arm region, a fourth region which is the user's left arm region, a fifth region which is the user's right leg region, and a sixth region which is the user's left leg region.

[0192] Additionally, for example, the second reference value can be determined by the following mathematical formula 6.

[0193]

[0194] In the above mathematical formula 6, Eth2 is the second reference value, α is a weighting factor based on the user's age and gender, h is a value based on the user's height, w is a value based on the user's weight, r is a value based on the distance between the electrostatic amount sensor and the user, rd is a basic value based on distance, m is a value based on humidity, c is a value based on temperature, and Vd1 may be a basic voltage based on the second reference value.

[0195] For example, the default value for distance and the default voltage for the second reference value can be pre-stored in the smart plug and / or management server. In this case, the default voltage for the second reference value may have different values ​​depending on the body area. For example, the larger the size of the body area, the higher the default voltage for the second reference value may be set. Additionally, the second reference value can be set for each body area.

[0196] For example, if the normal electrostatic discharge amount for a user is the discharge amount per body area of ​​the user, the normal electrostatic discharge amount for the user can be determined as a second reference value per body area.

[0197] Through this, the second reference value is not always set to a fixed value, but can be set to an appropriate reference value by considering the user's body information, ambient temperature and humidity, and the distance between the electrostatic charge sensor and the user.

[0198] For example, the second reference value may be determined as a default value if the number of times information regarding the user's electrostatic discharge amount is acquired is less than a preset number. For example, if the number of times information regarding the user's electrostatic discharge amount is acquired is greater than or equal to a preset number, the reference value may be determined as an average value based on the acquired information regarding the user's electrostatic discharge amount. Here, the average value may include an average value for the total electrostatic discharge amount or an average value for the electrostatic discharge amount by body area. For example, the preset number may be 10 times.

[0199] If the total amount of static electricity discharged by the user during sleep time is greater than or equal to a first reference value, the smart plug can send a warning message to the user terminal.

[0200] Alternatively, for example, if the total amount of static electricity discharged by the user during sleep time is less than a first reference value and the amount of static electricity discharged for any one of the multiple body areas is greater than or equal to a second reference value, the smart plug can send a warning message to the user terminal.

[0201] Smart plugs can display the amount of static electricity emitted during sleep.

[0202] For example, a smart plug can display the user's sleep time, the total amount of static electricity emitted during sleep, and the amount of static electricity by body area on the display.

[0203] The embodiments described above may be implemented as hardware components, software components, and / or combinations of hardware and software components. For example, the devices, methods, and components described in the embodiments may be implemented using one or more general-purpose or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing unit may execute an operating system (OS) and one or more software applications executed on said operating system. Additionally, the processing unit may access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing unit may be described as being used as a single unit, but those skilled in the art will understand that the processing unit may include multiple processing elements and / or multiple types of processing elements. For example, the processing unit may include multiple processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are also possible.

[0204] Software may include computer programs, code, instructions, or a combination of one or more of these, and may configure a processing unit to operate as desired or command the processing unit independently or collectively. Software and / or data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave so as to be interpreted by the processing unit or to provide instructions or data to the processing unit. Software may be distributed over networked computer systems and may be stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

[0205] The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either alone or in combination. The program instructions recorded on the medium may be those specifically designed and configured for the embodiment, or they may be those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

[0206] Although the embodiments have been described above with reference to the limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, suitable results may be achieved even if the described techniques are performed in a different order than described, and / or if the components of the described system, structure, device, circuit, etc. are combined or assembled in a form different from described, or replaced or substituted by other components or equivalents.

[0207] Therefore, other implementations, other embodiments, and equivalents to the claims also fall within the scope of the claims set forth below.

Claims

1. Regarding a mattress that generates an earthing effect, A fabric forming the exterior of the above mattress; A plurality of copper wire fabrics in the form of a fabric arranged on the inner side of the above-mentioned fabric, having conductivity, and woven so that a plurality of copper wires and a plurality of threads intersect each other; The above plurality of Dongseoncheons include a first Dongseoncheon and a second Dongseoncheon, and An earthing member electrically connected to the plurality of copper wire fabrics, drawn out to the outside of the fabric, and connected to an outlet; A dot fabric in which a plurality of ceramics are arranged in a dot shape on the uppermost layer inside the above fabric; Ceramic cotton laminated and installed on the lower part of the above dot cloth; Ceramic raw stone cloth stacked and installed on the lower part of the above ceramic surface; A first wool cotton fabric laminated and installed on the lower part of the above ceramic raw stone fabric to help maintain body temperature; A first copper wire fabric laminated and installed on the lower part of the first wool cotton fabric; A magnetic plate stacked and installed at the lower part of the above-mentioned first copper wire to increase negative ions in the user's blood by magnetic field lines; Charcoal cotton laminated and installed on the lower part of the above-mentioned magnetic plate to provide an antibacterial effect; A second wool cotton pad of a buffer layer laminated and installed on the lower part of the above-mentioned charcoal cotton pad; A porous cotton fabric laminated and installed on the lower part of the second wool cotton fabric and having a plurality of holes formed therein; A second copper wire fabric laminated and installed on the lower part of the above porous cotton fabric; Magnetic cotton sheets stacked and installed on the lower part of the above-mentioned second copper wire; and It includes a waterproof fabric installed in the lower layer of the above-mentioned magnetic cotton surface to block moisture and form the lowest layer, Grounding the human body to the earth using the above copper wire and the above earthing member to discharge static electricity accumulated in the body and introduce free electrons into the body, Mattress.

2. In Paragraph 1, The above mattress further includes a biosensor part attached to the upper layer of the dot fabric, and The above biosensor unit includes an infrared temperature sensor, a skin conductivity sensor, and a photoplethysmography sensor, and The above earthing member includes a plurality of connectors, lead wires connected to each of the plurality of connectors, and a smart plug, and The plurality of connectors are disposed on each of the first copper wire, the second copper wire, and the biosensor part so that the smart plug is electrically connected to the first copper wire, the second copper wire, and the biosensor part, and The smart plug is positioned at the end of the lead line, and The smart plug described above includes a first plug terminal that receives power from a connected outlet, a second plug terminal configured in the shape of two externally exposed grooves to perform the function of a grounding terminal, and a control unit. The above control unit includes at least one processor, a memory, a communication unit, and a circuit electrically connected to the first plug terminal and the second plug terminal, and The biometric information sensed by the above biometric sensor unit is transmitted to the smart plug, and The above biometric information includes temperature, blood flow signal intensity, and skin conductivity for each of the user's body regions, and the user's heart rate, and Body information of the user is transmitted to the smart plug from a user terminal that has a prior connection established with the smart plug, and The physical information of the above user includes the height of the above user, the weight of the above user, the gender of the above user, and the age of the above user, User state information is determined by the smart plug above based on the biometric information and the user's body information, and The above user status information includes the user's body temperature change, a value for the user's liver toxicity status, a value for the user's pain status, a value for the user's cytotoxicity status, and a value for the user's stress level. The above user status information is transmitted to the above user terminal, Mattress.

3. In Paragraph 2, The above mattress has a heating plate with a built-in heating wire that generates heat, which is laminated and installed between the ceramic raw stone fabric and the first wool cotton fabric. The heating wire is electrically connected to the smart plug through a wire, and A message instructing the body temperature maintenance mode from the above user terminal is transmitted to the smart plug, and After the above message is transmitted to the smart plug, the temperature of the heating wire is adjusted by the smart plug so that the user's body temperature is maintained at a preset target temperature. Mattress.

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