Control device and equipment for multi-scene self-adaptive electrical stimulation wearable equipment

Abstract

The invention provides a control device of a multi-scene self-adaptive electrical stimulation wearable device. The control device comprises the steps that the type of a wearing structure connected with a host is recognized; continuously collecting real-time physiological data of the user, and monitoring whether an external control signal is received or not; dynamically adjusting the initial electrical stimulation parameter set based on the real-time physiological data, the external control signal and the target physiological parameter range to generate an execution parameter set; and dynamically controlling electrical stimulation output according to the execution parameter set. According to the control device of the multi-scene self-adaptive electrical stimulation wearable equipment, the convenience and practicability of the equipment are improved, a multi-source information fusion intelligent decision-making system is constructed, and the accuracy and safety of treatment are improved. The invention also provides a multi-scene adaptive electrical stimulation wearable device and a computer readable storage medium.

Description

Technical Field

[0001] This invention relates to the field of wearable device technology, and in particular to a control device and equipment for a multi-scenario adaptive electrical stimulation wearable device. Background Technology

[0002] Transcutaneous electrical nerve stimulation (TENS) devices are common non-invasive physical therapy devices that stimulate nerves with specific electrical currents to achieve effects such as analgesia, muscle relaxation, antiemetics, or sleep aids. Most existing TENS devices are single-function, fixed-site specialized devices, such as wristband stimulators for wrist-based antiemetics, headband devices for head-based sleep aids, or patch devices for localized muscle relaxation. When users need to address health issues in different areas, they often need to purchase multiple devices and control and adjust the treatment modes separately, resulting in high operating costs and inconvenience in carrying and managing them.

[0003] Furthermore, the control strategies of existing devices are mostly quite simple. They either rely on users manually adjusting parameters such as stimulation intensity and frequency, resulting in a poor user experience and difficulty in finding optimal parameters; or they use a few fixed preset modes, which cannot adapt to individual differences and real-time changes in physiological states among different users. For example, wristband stimulators used for anti-nausea typically offer several fixed levels, but they cannot automatically adjust stimulation parameters based on real-time changes in the user's nausea level (such as heart rate and skin conductance response) to maintain the best effect, easily leading to tolerance or insufficient stimulation. During sleep aids, they also cannot dynamically adjust stimulation parameters to guide sleep based on physiological signals as the user gradually enters a relaxed state (such as decreased heart rate and changes in skin conductance).

[0004] While some existing high-end wearable devices integrate biosensors such as heart rate sensors, the sensor data and treatment control are often disconnected, failing to form an effective "perception-decision-execution" closed loop. These devices lack a core control mechanism that can comprehensively integrate hardware scene information, multi-dimensional physiological feedback, and user commands, and intelligently prioritize and dynamically adjust parameters. This results in unstable treatment effects, poor user experience, and limited intelligence in existing devices. Summary of the Invention

[0005] To address the aforementioned issues of low functional integration and poor control strategies, this invention provides a control device and apparatus for a multi-scenario adaptive electrical stimulation wearable device.

[0006] In a first aspect, the present invention provides a control device for a multi-scenario adaptive electrostimulation wearable device, used to control the multi-scenario adaptive electrostimulation wearable device to detect human health data and perform electrostimulation therapy. The multi-scenario adaptive electrostimulation wearable device includes a host and at least one wearing structure, the host and the wearing structure being detachably connected. The control device includes a signal acquisition module, a mode selection module, a dynamic adjustment module, and an electrostimulation execution module. The signal acquisition module is configured to identify the type of the wearing structure connected to the host, continuously acquire real-time physiological data of the user, and monitor whether an external control signal is received. The mode selection module selects one from preset functional modes as the current basic mode according to the type of the wearing structure, and retrieves an initial electrostimulation parameter set and a target physiological parameter range associated with the basic mode. The dynamic adjustment module dynamically adjusts the initial electrostimulation parameter set based on the real-time physiological data, the external control signal, and the target physiological parameter range to generate an execution parameter set. The electrostimulation execution module dynamically controls the electrostimulation output according to the execution parameter set.

[0007] Specifically, identifying the type of the wearing structure connected to the host includes detecting the feature parameters of the identification element within the wearing structure; determining the type of the wearing structure based on a preset mapping relationship between the feature parameters and the type of the wearing structure; wherein the type of the wearing structure includes at least a wearable structure corresponding to the wrist, a headband-type wearing structure corresponding to the head, and a patch-type wearing structure corresponding to the torso or limbs.

[0008] Specifically, detecting the characteristic parameters of the identification element within the wearing structure includes reading the resistance value of the identification element and confirming the type of the wearing structure based on the resistance value and the mapping relationship.

[0009] Specifically, the basic mode includes one or more of the following: anti-nausea mode, sleep aid mode, muscle relaxation mode, wake-up mode, and pain relief mode, which correspond to the feature parameters.

[0010] Specifically, the signal acquisition module includes a biological monitoring unit, which is used to acquire the real-time physiological data, including one or more of heart rate, heart rate variability, blood oxygen saturation, skin conductivity, and surface electromyography signals.

[0011] Specifically, the signal acquisition module further includes a control signal receiving unit, which is used to acquire the external control signal, including one or more of the basic mode change signal, the initial electrical stimulation parameter set change signal, and the switch control signal.

[0012] Specifically, the dynamic adjustment module includes a priority judgment unit and a parameter adjustment unit. The priority judgment unit is used to judge the priority of the signals acquired by the dynamic adjustment module. The external control signal has a higher priority than the automatic adjustment based on the real-time physiological data. The parameter adjustment unit dynamically adjusts the initial electrical stimulation parameter set based on the output of the priority judgment unit and generates an execution parameter set.

[0013] Specifically, the dynamic adjustment module further includes a threshold judgment unit, which has a parameter threshold associated with the basic mode and judges the initial electrical stimulation parameter set adjusted by the parameter adjustment unit to limit the numerical range of the execution parameter set.

[0014] Specifically, the set of execution parameters includes one or more parameters among the current frequency, intensity, and duty cycle of the electrical stimulation.

[0015] Secondly, the present invention provides a multi-scenario adaptive electrostimulation wearable device, including a host and at least one wearing structure. The host and the wearing structure are detachably connected. The host contains a control device for the multi-scenario adaptive electrostimulation wearable device. The control device includes a signal acquisition module, a mode selection module, a dynamic adjustment module, and an electrostimulation execution module. The signal acquisition module is configured to identify the type of the wearing structure connected to the host, continuously acquire real-time physiological data of the user, and monitor whether an external control signal is received. The mode selection module selects one of the preset functional modes as the current basic mode according to the type of the wearing structure, and retrieves the initial electrostimulation parameter set and the target physiological parameter range associated with the basic mode. The dynamic adjustment module dynamically adjusts the initial electrostimulation parameter set based on the real-time physiological data, the external control signal, and the target physiological parameter range to generate an execution parameter set. The electrostimulation execution module dynamically controls the electrostimulation output according to the execution parameter set.

[0016] Compared with the prior art, the control device, equipment, and medium of the multi-scenario adaptive electrical stimulation wearable device provided by the present invention have the following significant advantages:

[0017] 1. The multi-scenario adaptive electrostimulation wearable device, through the design of a detachable main unit and at least one wearing structure, allows a universal main unit to be flexibly matched with various wearing structures such as wristbands, headbands, and patches to achieve multiple functions such as anti-nausea, sleep aid, and muscle relaxation, avoiding the cost and inconvenience of users purchasing multiple single-function devices; by automatically recognizing the type of wearing structure, the device can easily switch application scenarios, maximizing the effectiveness of the main unit and improving the convenience and practicality of the device.

[0018] 2. A multi-source information fusion intelligent decision-making system was constructed. By automatically identifying hardware usage scenarios, it ensures precise matching between treatment plans and functional goals. Furthermore, by introducing real-time physiological data as feedback signals, the electrical stimulation parameters can be dynamically adjusted according to the user's state, breaking through the limitations of fixed or manual adjustment of traditional equipment and achieving true adaptive treatment. This not only improves the effectiveness and safety of treatment but also greatly simplifies user operation and optimizes the user experience.

[0019] 3. Improved precision and safety of treatment. By dynamically adjusting physiological data against preset target physiological parameter ranges, treatment parameters are always optimized to make the user's physiological state healthier and more comfortable. At the same time, the priority of external control signals is retained, prioritizing user perception. The intelligent decision-making mode, which uses detection data to assist treatment, avoids the problems of insufficient or excessive stimulation that may be caused by fixed parameters, thus improving personalized efficacy and safety. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein:

[0021] Figure 1 This is a three-dimensional structural diagram of a first embodiment of a multi-scenario adaptive electrical stimulation wearable device provided by the present invention;

[0022] Figure 2 This is a structural block diagram of a first embodiment of a multi-scenario adaptive electrical stimulation wearable device provided by the present invention;

[0023] Figure 3 yes Figure 2 The diagram shown is a structural block diagram of the control device.

[0024] Figure 4 yes Figure 2 Another embodiment of the control device shown is a structural block diagram;

[0025] Figure 5 yes Figure 2 Another embodiment of the control device shown is a structural block diagram;

[0026] Figure 6 This is a reference diagram showing the usage status of a first embodiment of a multi-scenario adaptive electrical stimulation wearable device provided by the present invention;

[0027] Figure 7This is a three-dimensional structural diagram of a second embodiment of a multi-scenario adaptive electrical stimulation wearable device provided by the present invention;

[0028] Figure 8 This is a three-dimensional structural diagram of a third embodiment of a multi-scenario adaptive electrical stimulation wearable device provided by the present invention;

[0029] Figure 9 These are reference diagrams showing the usage status of the second and third embodiments of the multi-scenario adaptive electrical stimulation wearable device provided by the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0032] Furthermore, in this invention, descriptions involving "first," "second," etc., are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0033] In this invention, unless otherwise explicitly specified and limited, the terms "connection," "fixed," etc., should be interpreted broadly. For example, "fixed" can mean a fixed connection, a detachable connection, or an integral part; it can mean a mechanical connection or an electrical connection; it can mean a direct connection or an indirect connection through an intermediate medium; it can mean the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0034] Furthermore, the technical solutions of the various embodiments of the present invention can be combined with each other, but only if they are feasible for those skilled in the art. If the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0035] Please also refer to Figures 1 to 3 A multi-scenario adaptive electrical stimulation wearable device 100 includes a main unit 10 and at least one wearing structure 20. The main unit 10 and the wearing structure 20 are detachably connected. A control device 1 is provided inside the main unit 10. The control device 1 is used to control the multi-scenario adaptive electrical stimulation wearable device 100, detect human health data, and perform electrical stimulation therapy.

[0036] The control device 1 includes a signal acquisition module 11, a mode selection module 13, a dynamic adjustment module 15, and an electrical stimulation execution module 17. The signal acquisition module 11 is configured to identify the type of the wearing structure 20 connected to the host 10, continuously acquire the user's real-time physiological data, and monitor whether an external control signal is received. The mode selection module 13 selects a preset functional mode as the current basic mode based on the type of the wearing structure 20, and retrieves the initial electrical stimulation parameter set and target physiological parameter range associated with the basic mode. The dynamic adjustment module 15 dynamically adjusts the initial electrical stimulation parameter set based on the real-time physiological data, the external control signal, and the target physiological parameter range to generate an execution parameter set. The electrical stimulation execution module 17 dynamically controls the electrical stimulation output according to the execution parameter set.

[0037] The control device 1, by incorporating the signal acquisition module 11, mode selection module 13, dynamic adjustment module 15, and electrical stimulation execution module 17, constructs a multi-source information fusion intelligent decision-making system. Unlike existing schemes that rely on a single electrical stimulation function and a single control signal to adjust electrical stimulation parameters, the control device 1 can automatically identify the type of the wearing structure 20, ensuring that the electrical stimulation scheme accurately matches the functional template. Furthermore, through the dynamic adjustment module 15, it can dynamically adjust the initial electrical stimulation parameter set based on real-time physiological data, external control signals, and the target physiological parameter range, overcoming the limitations of fixed or manual adjustment in traditional devices and achieving true adaptive therapy.

[0038] Please refer to the following: Figure 4The signal acquisition module 11 includes an identification unit 111 for identifying the type of the wearing structure 20. The identification of the type of the wearing structure 20 connected to the host 10 is specifically implemented by the identification unit 111 detecting the feature parameters of the identification element 21 within the wearing structure 20; and determining the type of the wearing structure 20 based on a preset mapping relationship between the feature parameters and the type of the wearing structure 20. To efficiently identify the type of the wearing structure 20, the mapping relationship can be pre-stored in the identification unit 111. When the host 10 is electrically connected to the wearing structure 20, the signal acquisition module 11 automatically retrieves the mapping relationship from the identification unit 111 and transmits the identified type information of the wearing structure 20 to the mode selection module 13.

[0039] Please refer to the following at the same time. Figures 6 to 9 The types of the wearing structures 20 include at least a wearable structure 20a corresponding to the wrist, a headband-type wearing structure 20b corresponding to the head, and a patch-type wearing structure 20c corresponding to the torso or limbs. The mapping relationship pre-stored in the recognition unit 111 includes different types of information of the wearing structures 20 and feature parameters of the corresponding recognition element 21, and the two have a unique correspondence.

[0040] In the mapping relationship, the identification element 21 can be configured as a resistor with a specific resistance value, an EEPROM chip storing an ID code, or an RFID tag, etc., and the characteristic parameters can be set according to different correspondences of the identification element 21. In this embodiment, the identification element 21 is preferably a resistor, and the characteristic parameters are set to the corresponding resistance values. That is, detecting the characteristic parameters of the identification element 21 within the wearing structure 20 includes reading the resistance value of the identification element 21 and confirming the type of the wearing structure 20 based on the resistance value and the mapping relationship. This setting method not only serves the identification function but also allows the identification element 21 to be used in the circuit structure of electrical stimulation to participate in the adjustment of electrical stimulation current parameters. It is low-cost, highly efficient, and does not require additional auxiliary identification components in the host 10. Of course, the resistance value can be set according to the type of the wearing structure 20. For example, 10kΩ corresponds to the headband-type wearing structure 20b, 20kΩ corresponds to the wearable structure 20a, and 30kΩ corresponds to the patch-type wearing structure 20c. When the host 10 is connected to the wearing structure 20, the control device 1 identifies the resistance value within the wearing structure 20 and retrieves a pre-stored correspondence table to identify the type of the wearing structure 20 and set the corresponding basic electrical stimulation mode. Of course, this correspondence is not fixed and can be adjusted as needed; no restrictions are imposed here.

[0041] The basic mode refers to the signal acquisition module 11, after determining the type of the wearing structure 20, transmitting the characteristic parameters to the mode selection module 13 based on the mapping relationship. The mode selection module 13 then sets an initial electrical stimulation treatment mode according to the characteristic parameters. The basic mode includes one or more of the following modes corresponding to the characteristic parameters: anti-nausea mode, sleep aid mode, muscle relaxation mode, wake-up mode, and pain relief mode. For example, if the signal acquisition module 11 identifies the headband-type wearing structure 20b, the mode selection module 13 identifies the characteristic parameters, such as resistance value, and then sets the basic mode to the sleep aid mode; correspondingly, the basic mode corresponding to the wearable structure 20a is either the anti-nausea mode or the wake-up mode, and the basic mode corresponding to the patch-type wearing structure 20c is either the muscle relaxation mode or the pain relief mode.

[0042] To facilitate the identification and control by the control device 1, the correspondence between the basic mode and the feature parameters is pre-stored in the mode selection module 13. After receiving the feature parameters, the mode selection module 13 only needs to select one from the preset functional modes as the current basic mode, which is simple and efficient. Furthermore, the basic mode is not the final mode used for electrical stimulation therapy; it is merely a reference mode suitable for most users under the corresponding treatment function. It will then be further adjusted according to the signal acquisition module 11 and the dynamic adjustment module 15 to form the final output treatment mode.

[0043] The basic mode includes an associated initial electrical stimulation parameter set and a target physiological parameter range. The initial electrical stimulation parameter set largely corresponds to the execution parameter set, both being parameters related to electrical stimulation therapy, including one or more parameters such as the current frequency, intensity, and duty cycle. The difference between the initial electrical stimulation parameter set and the execution parameter set is that one is a reference parameter set based on the basic mode, while the other is the final execution parameter set modified based on the basic mode. During electrical stimulation therapy, the current frequency, intensity, and duty cycle are parameters related to the current acting on specific parts or regions of the human body. Different parameters result in different therapeutic effects. Precise control facilitates accurate treatment of the human body and is tailored to different individual constitutions and current conditions.

[0044] The setting of the target physiological parameter range is to ensure the safety and controllability of electrical stimulation therapy. Different users will experience corresponding changes in physiological parameters when selecting the corresponding treatment mode. Under different basic modes, the function determines the reference values ​​in the initial electrical stimulation parameter set, which facilitates subsequent adjustments. This application simultaneously sets the target physiological parameter range representing the target range of electrical stimulation therapy, and in conjunction with the signal acquisition module 11 to acquire the real-time physiological data, it can continuously perform electrical stimulation therapy on the human body through the dynamic adjustment module and the electrical stimulation execution module 17, so that the real-time physiological data approaches the range of the target physiological parameters, thereby completing the treatment process.

[0045] Please continue reading. Figure 4 To ensure the effectiveness and accuracy of dynamic adjustments, the signal acquisition module 11 includes a biological monitoring unit 113. This biological monitoring unit 113 collects the real-time physiological data, which includes one or more of the following: heart rate, heart rate variability, blood oxygen saturation, skin conductivity, and surface electromyography (EMG). Correspondingly, the target physiological parameter range corresponds to the real-time physiological data, the difference being that one is a physiological parameter monitored in real time, while the other is a target parameter range.

[0046] The ultimate purpose of the control device 1 is to meet the user's needs for electrical stimulation therapy. However, unlike existing fixed-mode treatments that cannot determine the treatment effect, the control device 1 provided in this application can not only select the treatment mode, but also monitor human physiological data in real time based on the bio-monitoring unit 113, thereby effectively completing the treatment process, rather than being a simple device that roughly follows a preset program. Here is an example illustrating the dynamic adjustment process of antiemetic treatment: During antiemetic electrical stimulation, the bio-monitoring unit 113 continuously monitors the heart rate; in the initial stage, the control device 1 uses moderate-intensity, high-frequency stimulation to quickly suppress nausea; when the heart rate is detected to be rising due to discomfort, the device automatically increases the stimulation intensity; as the user provides feedback or the heart rate decreases, the control device 1 gradually reduces the stimulation intensity and lengthens the stimulation interval, entering a maintenance period to avoid tolerance; when the monitored heart rate reaches the target parameter range, the control device 1 maintains the stimulation intensity and stimulation interval at a certain level or stops the treatment. The control device 1 achieves a closed-loop control effect of "monitoring-feedback-adjustment" by simultaneously setting up the dynamic adjustment module 15, the electrical stimulation execution module 17, and the biological monitoring unit 113. In this embodiment, the biological monitoring unit 113 can be equipped with a photoplethysmography (PPG) sensor, a temperature sensor, a bioimpedance analysis (BIA) monitoring sensor, and an electrical skin activity (EDA) monitoring sensor, etc., to monitor one or more of the real-time physiological data such as heart rate, heart rate variability, blood oxygen saturation, skin conductivity, and surface electromyography signals. The specific detection principle is not described in detail here.

[0047] The control device 1, by setting the identification unit 111 and the biological monitoring unit 113 in the signal acquisition module 11, realizes automatic detection and identification of the system, and is used by the dynamic adjustment module 15 to dynamically adjust the execution parameter set. However, considering that the user is the most direct recipient of electrical stimulation therapy and has the most direct experience of the effect of electrical stimulation, in order to meet the user's subjective adjustment purpose, the signal acquisition module 11 also includes a control signal receiving unit 115. The control signal receiving unit 115 is used to acquire the external control signal, which includes one or more of the following: the basic mode change signal, the initial electrical stimulation parameter set change signal, and the switch control signal.

[0048] The external control signal can originate from a switch button directly on the host 10, allowing the user to adjust settings by pressing the switch button. The signal acquisition module 11 acquires the external control signal by recognizing the pressed state of the switch button. Alternatively, an application (APP) can be installed on an external terminal device, allowing the user to access and adjust settings within the application. The signal acquisition module 11 acquires the external control signal wirelessly. The external terminal device can include a mobile phone, tablet, or other computer device, and the wireless transmission can utilize Bluetooth, Wi-Fi, or other communication protocols; no specific limitations are imposed here.

[0049] In this embodiment, the signal acquisition module 11 integrates the identification unit 111, the biological monitoring unit 113, and the control signal receiving unit 115. It identifies the type of the wearing structure 20 connected to the host 10, continuously collects the user's real-time physiological data, and monitors whether external control signals are received. It provides a large number of reference signals and data for the mode selection module 13 and the dynamic adjustment module 15, thus constructing a multi-source information fusion intelligent decision-making system. The control device 1 breaks through the limitations of traditional fixed or manual adjustment devices, realizing a true effective combination of adaptive treatment and manual adjustment. This not only improves the effectiveness and safety of treatment but also greatly simplifies user operation and optimizes the user experience.

[0050] Please refer to the following: Figure 5 The dynamic adjustment module 15 includes a priority judgment unit 151 and a parameter adjustment unit 153. The priority judgment unit 151 is used to judge the priority of the signals acquired by the dynamic adjustment module 15; wherein, the priority of the external control signal is higher than the automatic adjustment based on the real-time physiological data; the parameter adjustment unit 153 dynamically adjusts the initial electrical stimulation parameter set based on the output of the priority judgment unit 151 and generates an execution parameter set. The priority judgment unit 151 has formulated judgment rules according to a preset priority order. After receiving different signals, it first performs priority judgment, providing an execution basis for the parameter adjustment unit 153, which helps the dynamic adjustment module 15 to perform real-time dynamic control and avoids mutual interference between different signals.

[0051] The parameters adjusted by the parameter adjustment unit 153 basically correspond to the initial electrical stimulation parameter set and the execution parameter set, and are all related to electrical stimulation therapy, including one or more parameters such as the current frequency, intensity, and duty cycle of the electrical stimulation. Based on the initial electrical stimulation parameter set, the parameter adjustment unit 153 generates the final execution parameter set by increasing or decreasing the values ​​of relevant parameters, and then outputs it to the electrical stimulation execution module 17 to achieve the final dynamic control of the electrical stimulation output.

[0052] Furthermore, the dynamic adjustment module 15 also includes a threshold judgment unit 155. The threshold judgment unit 155 has a parameter threshold associated with the basic mode and judges the initial electrical stimulation parameter set adjusted by the parameter adjustment unit 153 to limit the numerical range of the execution parameter set. Since the dynamic adjustment module 15 needs to process signals provided by the identification unit 111, the biomonitoring unit 113, and the control signal receiving unit 115 simultaneously, some signals may contain errors or be over-controlled, potentially causing safety hazards to the human body. For example, the user-direct control signal provided by the control signal receiving unit 115, if accidentally touched or excessively increased in parameters, may cause the user to be unable to adapt to high-frequency, high-intensity, or low-duty-cycle outputs, easily leading to extreme situations such as fainting or shock. By setting the threshold judgment unit 155, the dynamic adjustment module 15 can effectively prevent such situations from occurring. When the threshold judgment unit 155 identifies a situation where the dynamic adjustment module 15 receives signals exceeding the threshold range, it can effectively filter the relevant control signals to ensure user safety.

[0053] The multi-scenario adaptive electrostimulation wearable device 100 provided in this application features a detachable main unit 10 and at least one wearing structure 20. This design allows a single, universal main unit 10 to be flexibly combined with various wearing structures 20, such as wristbands, headbands, and patches, to achieve multiple functions including anti-nausea, sleep aid, and muscle relaxation. This avoids the cost and inconvenience of users purchasing multiple single-function devices. By integrating the control device 1 into the main unit 10 and automatically identifying the type of wearing structure 20, the device can easily switch application scenarios, maximizing the effectiveness of the main unit 10 and improving its convenience and practicality. The various modules within the control device 1 work together to construct a multi-source information fusion intelligent decision-making system. This system provides automated identification and control of treatment while greatly simplifying user operation and improving the effectiveness and safety of treatment.

[0054] The above description is merely an embodiment of the present invention. It should be noted that those skilled in the art can make improvements without departing from the inventive concept of the present invention, but these improvements all fall within the protection scope of the present invention.

Claims

1. A multi-scenario adaptive electrical stimulation control device for controlling a multi-scenario adaptive electrical stimulation wearable device to detect human health data and perform electrical stimulation, characterized in that, The multi-scene adaptive electric stimulation wearable device comprises a host and at least one wearing structure, the host and the wearing structure are detachably connected, and the control device comprises: a signal acquisition module configured to identify the type of the wearing structure connected with the host, continuously acquire real-time physiological data of a user, and monitor whether an external control signal is received; a mode selection module configured to select one from preset function modes as a current basic mode according to the type of the wearing structure, and call an initial electric stimulation parameter set and a target physiological parameter range associated with the basic mode; a dynamic adjustment module configured to dynamically adjust the initial electric stimulation parameter set based on the real-time physiological data, the external control signal and the target physiological parameter range, and generate an execution parameter set; and an electric stimulation execution module configured to dynamically control electric stimulation output according to the execution parameter set.

2. The control device of a multi-scenario adaptive electrical stimulation wearable device according to claim 1, wherein, The identification of the type of the wearing structure connected with the host comprises detection of characteristic parameters of an identification element in the wearing structure, and determination of the type of the wearing structure according to a preset mapping relationship between the characteristic parameters and the type of the wearing structure, wherein the type of the wearing structure at least comprises a wearable wearing structure corresponding to a wrist part, a head-mounted wearing structure corresponding to a head part, and a patch-type wearing structure corresponding to a trunk or a limb.

3. The control device of a multi-scenario adaptive electrical stimulation wearable device according to claim 2, wherein, The detection of the characteristic parameters of the identification element in the wearing structure comprises reading of a resistance value of the identification element, and confirmation of the type of the wearing structure according to the resistance value and the mapping relationship.

4. The control device of a multi-scenario adaptive electrical stimulation wearable device according to claim 2, wherein, The basic mode comprises one or more of an anti-emesis mode, a sleep-aiding mode, a muscle relaxation mode, a wake-up mode and a pain relief mode corresponding to the characteristic parameters.

5. The control device of a multi-scenario adaptive electrical stimulation wearable device according to claim 1, wherein, The signal acquisition module comprises a biological monitoring unit for acquiring the real-time physiological data, wherein the real-time physiological data comprises one or more of a heart rate, a heart rate variability, a blood oxygen saturation, a skin conductivity and a body surface electromyogram.

6. The control device of a multi-scenario adaptive electrical stimulation wearable device according to claim 1, wherein, The signal acquisition module further comprises a control signal receiving unit for acquiring the external control signal, wherein the external control signal comprises one or more of the basic mode changing signal, the initial electric stimulation parameter set changing signal and a switch control signal.

7. The control device of a multi-scenario adaptive electrical stimulation wearable device according to claim 1, wherein, The dynamic adjustment module comprises: a priority judgment unit configured to perform priority judgment on signals acquired by the dynamic adjustment module, wherein a priority of the external control signal is higher than automatic adjustment based on the real-time physiological data; and a parameter adjustment unit configured to dynamically adjust the initial electric stimulation parameter set based on an output of the priority judgment unit, and generate an execution parameter set.

8. The control device of a multi-scenario adaptive electrical stimulation wearable device according to claim 7, wherein, The dynamic adjustment module further comprises a threshold judgment unit provided with a parameter threshold associated with the basic mode, and configured to judge the initial electric stimulation parameter set adjusted by the parameter adjustment unit, and limit a numerical range of the execution parameter set.

9. The control device of a multi-scenario adaptive electrical stimulation wearable device according to claim 1, wherein, The set of execution parameters comprises one or more of a current frequency, an intensity, a duty cycle of the electrical stimulation.

10. A multi-scenario adaptive electrical stimulation wearable device, comprising: The control device comprises a host and at least one wearing structure, the host and the wearing structure are detachably connected, and the host is internally provided with the control device according to any one of claims 1 to 9.

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