Intelligent mattress for measuring body composition of bedridden patient

Abstract

The invention belongs to the technical field of mattresses, and provides an intelligent mattress for measuring the body composition of a bedridden patient, comprising: a mattress comprising a base layer, a support layer and a breathable layer which are sequentially arranged from bottom to top; the distance measuring assembly comprises a servo motor, a screw rod, a sliding seat, an electric push rod, a mounting seat, an infrared generator and an infrared distance measuring sensor; a weight measuring assembly; by arranging the mattress, the distance measuring assembly and the weight measuring assembly, height measurement and weight monitoring without feeling in bed are achieved, body position abnormity is automatically recognized, and nursing intervention is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of mattresses, and specifically relates to an intelligent mattress for measuring the body composition of bedridden patients. Background Art

[0002] The measurement of the weight and height of bedridden patients is an important part of clinical nursing, and special methods are required to ensure the accuracy of the data. For weight measurement, a bedside electronic scale or a mobile weighing device is usually used. Before measurement, the patient's body position (such as lying flat or semi-recumbent) needs to be confirmed to avoid the influence of clothes and quilts. It is recommended to fix the measurement time in the fasting state in the early morning. For height measurement, a flexible ruler can be used to measure along the long axis of the body, from the top of the head to the heel. The body needs to be kept straight, and if necessary, two nursing staff should cooperate to complete it. When operating, attention should be paid to gentle movements, and transfer equipment should be used to assist the patient to move to avoid discomfort or risks caused by changes in body position. Regular monitoring of weight changes helps to evaluate the patient's nutritional status, fluid balance and treatment effect, and height data can provide a basis for drug dosage calculation and rehabilitation evaluation.

[0003] Currently, the measurement of the weight and height of bedridden patients mainly relies on traditional methods, which have significant defects. In terms of weight measurement, it is usually necessary to transfer the patient to a special weighing scale, which is not only difficult to operate for patients with limited mobility or severe diseases, but also frequent movement is likely to cause secondary injuries.

[0004] Existing nursing beds are difficult to measure height on the bed. Although some are integrated with pressure sensors, they are greatly affected by the deformation of the bed body structure.

[0005] Therefore, those skilled in the art have proposed an intelligent mattress for measuring the body composition of bedridden patients to solve the problems raised in the background art. Summary of the Invention

[0006] In order to solve the above technical problems, the present invention provides an intelligent mattress for measuring the body composition of bedridden patients to solve the problems that existing nursing beds are difficult to measure height on the bed, and although some are integrated with pressure sensors, they are greatly affected by the deformation of the bed body structure, etc.

[0007] The intelligent mattress for measuring the body composition of bedridden patients includes: a mattress, which includes a base layer, a support layer and a breathable layer arranged in sequence from bottom to top;

[0008] A ranging component, which includes a servo motor, a screw rod, a sliding seat, an electric push rod, a mounting seat, an infrared generator and an infrared ranging sensor; a chute is opened on the side wall of the base layer, and two groups of servo motors are symmetrically installed on the inner wall of the chute. Both output ends of the servo motor are connected to the screw rod, the screw rod is in threaded cooperation with the sliding seat, the side wall of the sliding seat is installed with an electric push rod, the telescopic end of the electric push rod is installed with a mounting seat, the infrared generator is installed on the surface of the mounting seat, and the infrared ranging sensor is installed on the inner wall of the mounting seat;

[0009] The weight measurement component includes pressure sensors array-mounted on the inner layer of the support layer, a control screen mounted on the front end face of the mattress, a control module and a power module mounted in the base layer.

[0010] Preferably, it further includes an impedance analysis component, which includes scapular electrode pads, lumbar electrode pads and leg electrode pads symmetrically mounted on the surface of the breathable layer.

[0011] Preferably, a temperature and humidity sensor layer is arranged inside the breathable layer, and the temperature and humidity sensor layer is formed by array-laying temperature sensors and humidity sensors.

[0012] Preferably, the impedance analysis component, the temperature and humidity sensor layer, the ranging component, the weight measurement component and the control screen are all electrically connected to the control module and the power module.

[0013] Preferably, a charging port is arranged on the side wall of the base layer.

[0014] Preferably, an infrared thermal imaging sensor is further mounted on the surface of the mounting seat, and the infrared thermal imaging sensor is electrically connected to the control module.

[0015] Preferably, the weight measurement method of the weight measurement component includes:

[0016] (a) Collect spatial pressure data through the array pressure sensors, and use the Delaunay triangulation algorithm to generate a three-dimensional pressure distribution surface;

[0017] (b) Perform numerical integration on the pressure distribution surface, and the calculation formula is:

[0018]

[0019] where P i is the pressure value of the i-th sensor, A i is the corresponding area, and K cal is the pre-calibrated compensation coefficient;

[0020] (c) Calculate the centroid coordinates based on the pressure distribution surface;

[0021]

[0022] Preferably, the measurement method of the impedance analysis component: Apply a swept-frequency current signal through the shoulder electrode pads, with a frequency of kHz - kHz; Synchronously collect voltage signals from the lumbar electrode pads and the leg electrode pads, and calculate the segment impedance value Z(f);

[0023] Use the Cole-Cole model to fit the impedance spectrum curve for body fluid analysis:

[0024]

[0025] Where ω = 2πf and τ is the relaxation time constant; an edema warning is generated when the lower limb impedance value drops by more than the baseline value percentage.

[0026] Preferably, the temperature and humidity sensor layer is used for pressure ulcer monitoring. The pressure ulcer monitoring method is based on risk factor fusion, and the temperature and humidity matrices T(x, y, t) and H(x, y, t) of the temperature and humidity sensor layer are spatially and temporally aligned with the pressure cloud map P(x, y, t).

[0027] The risk index calculation formula is as follows:

[0028]

[0029] Calculate the local risk index, where α = 0.6, β = 0.3, and γ = 0.1 are weight coefficients; when a certain area satisfies R(x, y) > 0.8 and the duration > 30 minutes, a warning is triggered.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] By setting up a mattress, a ranging component, and a weighing component, the present invention realizes non-invasive height measurement and weight monitoring for bedridden patients, automatically identifies abnormal body positions, and reduces nursing interventions. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a schematic diagram of the overall structure of the present invention;

[0033] Figure 2 is a schematic top view structure diagram of the present invention;

[0034] Figure 3 is a schematic front view structure diagram of the present invention;

[0035] Figure 4 is Figure 3 the schematic A - A cross-sectional structure diagram in

[0036] Figure 5 is Figure 2 the schematic B - B cross-sectional structure diagram in

[0037] Figure 6 is Figure 4 the partial enlarged view of part C in

[0038] Figure 7 is the schematic diagram of the overall structure of the electric push rod.

[0039] In the figure:

[0040] 1. Breathable layer; 2. Support layer; 3. Base layer; 4. Slide groove; 5. Servo motor; 6. Screw; 7. Slide seat; 8. Fixed seat; 9. Electric push rod; 10. Support rod; 11. Mounting seat; 12. Infrared generator; 1201. Infrared distance sensor; 13. Infrared thermal imaging sensor; 14. Control module; 15. Power supply module; 16. Charging port; 17. Control screen; 18. Impedance analysis component; 1801. Shoulder electrode patch; 1802. Waist electrode patch; 1803. Leg electrode patch; 19. Pressure sensor; 20. Temperature and humidity sensor layer. Specific embodiments

[0041] The following further describes the embodiments of the present invention in detail in conjunction with the drawings and embodiments. The following embodiments are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0042] Embodiment 1: As shown in the attached Figure 1 to the attached Figure 7 figures: The present invention provides an intelligent mattress for measuring the body composition of bedridden patients, including a mattress, a ranging component, and a weighing component;

[0043] The mattress includes a base layer 3, a support layer 2, and a breathable layer 1 arranged in sequence from bottom to top;

[0044] The ranging component includes a servo motor 5, a screw 6, a slide seat 7, an electric push rod 9, a mounting seat 11, an infrared generator 12, and an infrared distance sensor 1201; a slide groove 4 is opened on the side wall of the base layer 3, and two groups of servo motors 5 are symmetrically installed on the inner wall of the slide groove 4. Both output ends of the servo motor 5 are connected to the screw 6, and the screw 6 is in threaded cooperation with the slide seat 6. A fixed seat 8 is fixedly installed on the side wall of the slide seat 7, an electric push rod 9 is installed in the fixed seat 8, the telescopic end of the electric push rod 9 is connected to the support rod 10, one end of the support rod 10 is fixedly installed with the mounting seat 11, the infrared generator 12 is installed on the surface of the mounting seat 11, and the infrared distance sensor 1201 is installed on the inner wall of the mounting seat 11; an infrared thermal imaging sensor 13 is also installed on the surface of the mounting seat 11, and the infrared thermal imaging sensor 13 is electrically connected to the control module 14.

[0045] The servo motor 5 drives the screw 6 to drive the slide seat 7 to perform a horizontal scan. The two slide seats 7 are simultaneously displaced symmetrically. One slide seat 7 displaces from the head of the human body, and the other slide seat 7 displaces from the foot of the human body. When reaching the mutation point of the reflection intensity of the two infrared generators 12, the two servo motors 5 stop working, and the other mounting seat 11 is quickly irradiated through the infrared distance sensor 1201, so as to quickly obtain the human body height data, greatly improving the effect of height measurement; when there is no need to measure the human body height data, by controlling the electric push rod 9, the mounting seat 11 can be retracted into the fixed seat 8 to avoid protruding from the edge of the bed and blocking the movement of the patient and the nursing work of the nurse.

[0046] The weighing component includes pressure sensors (19) array-mounted on the inner layer of the support layer 2, a control screen (17) mounted on the front end face of the mattress, a control module (14) and a power module mounted in the base layer 3, and a charging port (16) is provided at the side wall of the base layer 3;

[0047] The weighing method of the weighing component includes:

[0048] (a) Collect spatial pressure data through the array pressure sensors (19), and generate a three-dimensional pressure distribution surface by using the Delaunay triangulation algorithm;

[0049] (b) Perform numerical integration on the pressure distribution surface, and the calculation formula is:

[0050]

[0051] Where P i is the pressure value of the i-th sensor, A i is the area of the corresponding region, and K cal is the pre-calibrated compensation coefficient;

[0052] (c) Calculate the centroid coordinates based on the pressure distribution surface;

[0053]

[0054] Match the pressure distribution pattern with the lying position characteristics in the preset database to identify the supine / side lying position;

[0055] As can be seen from the above, the servo motors (5) on both sides of the mattress drive the sliding seats (7) to move synchronously towards the head and tail ends along the sliding grooves (4) through the screws (6), and the infrared generators (12) emit horizontal light beams. When the light beam is blocked by the human head or heel, the infrared distance sensor (1201) detects a sudden drop in the reflected signal intensity (ΔI>50% of the reference value), triggers the motor to stop, and quickly irradiates another mounting seat (11) through the infrared distance sensor (1201), so as to quickly obtain the human body height data and get the height data.

[0056] When weighing, the weighing component collects pressure distribution data through the array pressure sensors (19) embedded in the support layer 2, and the control module (14) constructs a three-dimensional pressure surface by using the Delaunay triangulation algorithm, and calculates the body weight by numerical integration (formula: W = ∑(P i ·A i )·K cal ), and identifies the body position offset through the centroid coordinates (X c , Y c ); the infrared thermal imaging sensor (13) assists in monitoring abnormal body surface temperature.

[0057] Embodiment 2: The difference is that it further includes an impedance analysis component 18, which includes a scapular electrode patch 1801, a lumbar electrode patch 1802, and a leg electrode patch 1803 that are symmetrically installed on the surface of the breathable layer 1.

[0058] Measurement method of the impedance analysis component 18: Apply a swept-frequency current signal through the shoulder electrode patch 1801, with a frequency of 50 kHz - 500 kHz; synchronously collect voltage signals from the lumbar electrode patch 1802 and the leg electrode patch 1803, and calculate the segment impedance value Z(f);

[0059] Use the Cole-Cole model to fit the impedance spectrum curve for body fluid analysis:

[0060]

[0061] where ω = 2πf and τ is the relaxation time constant; generate an edema warning when the lower limb impedance value drops by more than 15% of the baseline value.

[0062] As can be seen from the above, the scapular electrode patch 1801, the lumbar electrode patch 1802, and the leg electrode patch 1803 of the impedance analysis component 18 are symmetrically embedded in the surface of the breathable layer 1 and are in contact with the human body. The control module 14 applies a 50 kHz - 500 kHz swept-frequency current through the scapular electrode patch 1801, and the lumbar electrode patch 1802 and the leg electrode patch 1803 synchronously detect voltage signals to calculate the segment impedance value Z(f); use the Cole-Cole model (formula: Fit the impedance spectrum, extract the extracellular fluid resistance (R0) and the intracellular fluid resistance (R ∞ ), realizing non-invasive detection of body composition (body fat percentage, muscle mass) and body fluid distribution, effectively realizing edema warning, and supporting accurate clinical diagnosis.

[0063] Embodiment 3: A temperature and humidity sensor layer 20 is arranged inside the breathable layer 1, and the temperature and humidity sensor layer 20 is formed by laying a temperature sensor and a humidity sensor array; the impedance analysis component, the temperature and humidity sensor layer 20, the ranging component, the weighing component, and the control screen 17 are all electrically connected to the control module 14 and the power supply module 15.

[0064] The temperature and humidity sensor layer 20 is used for pressure ulcer monitoring, and the pressure ulcer monitoring working method is based on risk factor fusion, aligning the temperature and humidity matrices T(x, y, t), H(x, y, t) of the temperature and humidity sensor layer (20) with the pressure cloud map P(x, y, t) in space and time;

[0065] The risk index calculation formula is as follows:

[0066]

[0067] Calculate the local risk index, where α = 0.6, β = 0.3, and γ = 0.1 are weight coefficients; when a certain area satisfies R(x,y) > 0.8 and the duration > 30 minutes, a warning is triggered.

[0068] As can be seen from the above, the temperature and humidity sensor layer 20 is composed of temperature sensors and humidity sensors embedded in the breathable layer 1 in a grid form, and data is collected every 10 minutes (the time can be set), and is spatially and temporally aligned with the pressure cloud map P(x,y,t) generated by the pressure sensor 19.

[0069] The control module (14) calculates the local risk value through the risk index formula When the risk value R of a certain area is > 0.8 and lasts for 30 minutes, it is determined to be a high risk of pressure ulcers. The control screen 17 displays a heat map and generates a decompression plan, and at the same time activates a nursing reminder; it can effectively monitor and warn of pressure ulcers in real time, shorten the response time, and combine with an automatic nursing plan to significantly reduce the incidence of pressure ulcers.

[0070] The embodiments of the present invention are given for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

[0071] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The meaning of "plurality" is two or more unless otherwise specifically defined.

[0072] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication of two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0073] In the present invention, unless otherwise clearly specified or limited, the first feature being "on" or "under" the second feature may mean that the first and second features are in direct contact, or the first and second features are indirectly in contact through an intermediate medium. Moreover, the first feature being "above", "over" and "on top of" the second feature may mean that the first feature is directly above or obliquely above the second feature, or simply indicates that the horizontal height of the first feature is higher than that of the second feature. The first feature being "under", "beneath" and "underneath" the second feature may mean that the first feature is directly below or obliquely below the second feature, or simply indicates that the horizontal height of the first feature is lower than that of the second feature.

[0074] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0075] In the attached drawings of the disclosed embodiments of the present invention, only the structures related to the disclosed embodiments are involved, and other structures can refer to the general design. Without conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0076] Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart mattress for measuring body composition of bedridden patients, characterized in that: include: A mattress, comprising a base layer (3), a support layer (2) and a breathable layer (1) arranged in sequence from bottom to top; A distance measuring component comprises a servo motor (5), a screw rod (6), a slide seat (7), an electric push rod (9), a mounting seat (11), an infrared generator (12) and an infrared distance measuring sensor (1201); a slide groove (4) is provided at the side wall of the base layer (3); two groups of servo motors (5) are symmetrically mounted on the inner wall of the slide groove (4); both output ends of the servo motor (5) are connected to the screw rod (6); the screw rod (6) and the slide seat (7) are threadedly matched; an electric push rod (9) is mounted on the side wall of the slide seat (7); the mounting seat (11) is mounted on the telescopic end of the electric push rod (9); the infrared generator (12) is mounted on the surface of the mounting seat (11); and the infrared distance measuring sensor (1201) is mounted on the inner wall of the mounting seat (11); The weight measuring assembly comprises a pressure sensor (19) installed in an array on the inner layer of a support layer (2), a control screen (17) installed on the front end surface of the mattress, a control module (14) installed in the base layer (3), and a power module (15).

2. The intelligent mattress for measuring body composition of bedridden patients as claimed in claim 1, characterized in that: It also includes an electrical impedance analysis component (18), which includes shoulder blade electrode pieces (1801), waist electrode pieces (1802) and leg electrode pieces (1803) symmetrically installed on the surface of the breathable layer (1).

3. The intelligent mattress for measuring body composition of bedridden patients as claimed in claim 1 or 2, characterized in that: A temperature and humidity sensor layer (20) is arranged inside the air permeable layer (1), and the temperature and humidity sensor layer (20) is formed by laying out an array of temperature sensors and humidity sensors.

4. The intelligent mattress for measuring body composition of bedridden patients as claimed in claim 3, characterized in that: The electrical impedance analysis component, the temperature and humidity sensor layer (20), the distance measurement component, the weight measurement component, and the control screen (17) are all electrically connected to the control module (14) and the power supply module (15).

5. The intelligent mattress for measuring body composition of bedridden patients as claimed in claim 1, characterized in that: A charging port (16) is provided on the side wall of the base layer (3).

6. The intelligent mattress for measuring body composition of bedridden patients as claimed in claim 1, characterized in that: An infrared thermal imaging sensor (13) is also mounted on the surface of the mounting seat (11), and the infrared thermal imaging sensor (13) is electrically connected to the control module (14).

7. The intelligent mattress for measuring body composition of bedridden patients as claimed in claim 1, characterized in that: The weighing method of the weighing component comprises: The spatial pressure data is collected by an array pressure sensor (19), and a three-dimensional pressure distribution surface is generated by using a Delaunay triangulation algorithm; The pressure distribution surface is numerically integrated, and the calculation formula is: Where P i is the pressure value of the i-th sensor, A i is the corresponding area, K cal is the pre-calibrated compensation coefficient; Calculate the centroid coordinates based on the pressure distribution surface; 8. The intelligent mattress for measuring body composition of bedridden patients as claimed in claim 2, characterized in that: The measuring method of the electrical impedance analysis component (18) is as follows: applying a swept frequency current signal through the shoulder electrode sheet (1801), the frequency of which is 50kHz-500kHz; synchronously collecting voltage signals from the waist electrode sheet (1802) and the leg electrode sheet (1803), and calculating the segment impedance value Z(f); The Cole-Cole model is used to fit the impedance spectrum curve for body fluid analysis: Where ω=2πf, τ is the relaxation time constant; when the lower limb impedance value drops by more than 15% of the baseline value, an edema warning is generated.

9. The intelligent mattress for measuring body composition of bedridden patients as claimed in claim 3, characterized in that: The temperature and humidity sensor layer (20) is used for pressure sore prevention monitoring. The pressure sore prevention monitoring working method is based on risk factor fusion, and the temperature and humidity matrix T (x, y, t), H (x, y, t) of the temperature and humidity sensor layer (20) is aligned in time and space with the pressure cloud map P (x, y, t); The risk index calculation formula is as follows: Calculate the local risk index, where α=0.6, β=0.3, γ=0.1 are weight coefficients; when a certain area meets R(x,y)>0.8 and lasts for>30 minutes, an early warning is triggered.

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