Intelligent waist pad

Abstract

The invention belongs to the technical field of waist protection back cushions, and particularly relates to an intelligent waist cushion. In the acquisition mechanism, first to sixth sensor groups corresponding to an erector spine muscle monitoring area, a squarely lumbar muscle monitoring area, a multifidus muscle monitoring area, a pelvic floor muscle monitoring area, a diaphragm muscle monitoring area and a transverse abdominal muscle monitoring area respectively acquire pressure data of corresponding muscle groups; and the control module receives the data, analyzes and processes the data, and then drives corresponding parts of the supporting part to act according to an analysis result, so that targeted supporting adjustment on specific fatigue muscles is realized. The intelligent waist pad has the advantages that the sensor layout accurately corresponds to the anatomical position of the core muscle group of the waist of the human body, the crossing from regional pressure monitoring to muscle-level accurate recognition is realized, so that a reliable data basis is provided for accurate adjustment of the intelligent waist pad, and the effectiveness of support and the comfort level of a user are remarkably improved.

Description

Technical Field

[0001] This invention belongs to the field of lumbar support cushion technology, and particularly relates to an intelligent lumbar support cushion. Background Technology

[0002] With increasing health awareness, smart lumbar support cushions have become an important product for people who sit for long periods to maintain lower back health. Their core technology lies in using pressure sensors to monitor the user's posture and fatigue level, and then automatically adjusting the support accordingly. Current technologies generally employ a scheme where an array of pressure sensors is evenly distributed across the surface of the lumbar support cushion. This layout aims to obtain an overall pressure distribution map of the entire lumbar region, thereby determining which areas experience higher pressure and making overall adjustments accordingly.

[0003] However, this uniform layout based on geometric regions has inherent flaws. The human lumbar region is not a homogeneous mechanical structure, but rather supported by multiple muscles of varying functions and depths, such as the erector spinae, quadratus lumborum, and multifidus. Current technology cannot establish a correspondence between the surface pressure signals collected by sensors and specific subcutaneous muscle groups. This results in overly vague monitoring results, only indicating excessive pressure in the lumbar region, without accurately identifying which core muscle is fatigued.

[0004] Therefore, a smart lumbar support is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a smart lumbar support to solve the above-mentioned problems.

[0006] To achieve the above objectives, the present invention provides the following solution: A smart lumbar support includes: a base, a support part for supporting a human body on the base, and a receiving mechanism for contacting the human body on the support part. The support part and the receiving mechanism are both electrically connected to a control module, and the control module is configured to control the movement of the support part based on data acquired by the receiving mechanism. The surface of the base is provided with an erector spinae muscle monitoring area, a quadratus lumborum muscle monitoring area, a multifidus muscle monitoring area, a pelvic floor muscle monitoring area, a diaphragm muscle monitoring area, and a transverse abdominis muscle monitoring area. The acquisition mechanism includes a first sensor group located in the erector spinae muscle monitoring area for acquiring erector spinae muscle pressure data; a second sensor group located in the quadratus lumborum muscle monitoring area for acquiring quadratus lumborum muscle pressure data; a third sensor group located in the multifidus muscle monitoring area for acquiring multifidus muscle pressure data; a fourth sensor group located in the pelvic floor muscle monitoring area for acquiring pelvic floor muscle pressure data; a fifth sensor group located in the diaphragm muscle monitoring area for acquiring diaphragm muscle pressure data; and a sixth sensor group located in the transverse abdominis muscle monitoring area for acquiring transverse abdominis muscle pressure data.

[0007] In the smart lumbar cushion of the present invention, a first flexible layer is adhered to the side of the base closest to the human body, and an outer layer is adhered to the side of the first flexible layer away from the base. An installation groove is provided on the outer layer, and the installation groove is used to install the acquisition mechanism.

[0008] In the smart lumbar cushion of the present invention, the support part includes a second flexible layer, the second flexible layer is bonded to the side of the first flexible layer away from the base, and a plurality of support modules are fixedly connected to the side of the second flexible layer away from the first flexible layer, and the support modules are electrically connected to the control module. Multiple support modules are respectively installed in the erector spinae muscle monitoring area, quadratus lumborum muscle monitoring area, multifidus muscle monitoring area, pelvic floor muscle monitoring area, diaphragm muscle monitoring area and transverse abdominis muscle monitoring area.

[0009] In the smart lumbar support of the present invention, the control module is disposed between the second flexible layer and the first flexible layer, and the control module is electrically connected to a power supply and a Bluetooth module.

[0010] In the smart lumbar cushion of the present invention, the acquisition mechanism is bonded to the mounting layer, the mounting layer is bonded to the third flexible layer, the third flexible layer is disposed on the plurality of support modules, and the acquisition mechanism, the third flexible layer and the mounting layer are all adapted to the mounting groove.

[0011] In the smart lumbar cushion of the present invention, a highly elastic layer is bonded to the side of the acquisition mechanism away from the mounting layer, and the highly elastic layer is adapted to the mounting groove.

[0012] In the smart lumbar support of the present invention, the support module includes a telescopic bladder, the telescopic bladder is electrically connected to the control module, the telescopic bladder is fixedly installed on the second flexible layer, the movable end of the telescopic bladder is fixedly connected to an elastic ball, and the elastic ball is connected to the third flexible layer.

[0013] In the smart lumbar cushion of the present invention, a light strip is circumferentially fixed to the outer edge of the base, and the light strip is electrically connected to the control module.

[0014] In the smart lumbar cushion of the present invention, a decorative strip is circumferentially fixed to the outer edge of the base, and the first flexible layer, the outer surface layer and the light strip are all located inside the decorative strip and fixed to the decorative strip.

[0015] In the smart lumbar support of the present invention, a support member is fixedly connected to the side of the base facing away from the human body.

[0016] Compared with the prior art, the present invention has the following advantages and technical effects: In this invention, after the user sits down, their lower back comes into contact with the acquisition mechanism on the support. The first to sixth sensor groups in the acquisition mechanism, corresponding to the erector spinae muscle monitoring area, quadratus lumborum muscle monitoring area, multifidus muscle monitoring area, pelvic floor muscle monitoring area, diaphragm muscle monitoring area and transverse abdominis muscle monitoring area, respectively collect pressure data of the corresponding muscle groups. The control module receives these data and analyzes them. Then, based on the analysis results, it drives the corresponding parts of the support to move, thereby achieving targeted support and adjustment for specific fatigued muscles.

[0017] The advantage of this invention lies in the fact that by precisely corresponding the sensor layout to the anatomical location of the core muscle group of the human waist, it achieves a leap from "regional pressure monitoring" to "muscle-level precise identification", thereby providing a reliable data basis for the precise adjustment of the smart lumbar support and significantly improving the effectiveness of support and user comfort. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in 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: Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 This is a schematic diagram of the state of the support module in this invention; Figure 3 This is a schematic diagram of the sensor array in this invention; The components include: 1. Support component; 2. Base; 3. First flexible layer; 4. Bluetooth module; 5. Power supply; 6. Control module; 7. Support module; 8. Second flexible layer; 9. Outer layer; 10. Third flexible layer; 11. Mounting layer; 12. Sensor array; 13. High elasticity layer; 14. Light strip; 15. Decorative strip; 701. Elastic ball; 702. Telescopic bladder; 1201. Flexible substrate; 1202. Miniature piezoresistive sensing unit. Detailed Implementation

[0019] 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 some embodiments of the present invention, and not all embodiments. 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.

[0020] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0021] Reference Figures 1 to 3 The present invention discloses an intelligent waist cushion, comprising: a base 2, a support part for supporting the human body is provided on the base 2, and an acquisition mechanism 12 for contacting the human body is provided on the support part. The support part and the acquisition mechanism 12 are both electrically connected to a control module 6. The control module 6 is configured to control the movement of the support part based on the data acquired by the acquisition mechanism 12. The surface of the base 2 is provided with monitoring areas for erector spinae, quadratus lumborum, multifidus, pelvic floor muscles, diaphragm, and transverse abdominis. The acquisition mechanism 12 includes a flexible substrate 1201 and a miniature piezoresistive sensing unit 1202 disposed on the flexible substrate 1201. Specifically, the miniature piezoresistive sensing unit 1202 includes: a first sensor group disposed in the erector spinae muscle monitoring area for acquiring erector spinae muscle pressure data; a second sensor group disposed in the quadratus lumborum muscle monitoring area for acquiring quadratus lumborum muscle pressure data; a third sensor group disposed in the multifidus muscle monitoring area for acquiring multifidus muscle pressure data; a fourth sensor group disposed in the pelvic floor muscle monitoring area for acquiring pelvic floor muscle pressure data; a fifth sensor group disposed in the diaphragm muscle monitoring area for acquiring diaphragm muscle pressure data; and a sixth sensor group disposed in the transverse abdominis muscle monitoring area for acquiring transverse abdominis muscle pressure data.

[0022] Base 2 is made of ABS plastic.

[0023] The first sensor group includes four longitudinal flexible piezoresistive thin-film sensors, each measuring 15cm × 2cm, symmetrically arranged along both sides of the spine and distributed along the direction of the erector spinae muscles; the second sensor group includes two flexible piezoresistive thin-film sensors, each measuring 5cm × 3cm, symmetrically arranged on both sides of the waist; the third sensor group includes miniature strain gauge pressure sensors arranged at three points (upper, middle, and lower) along the central axis of the lumbar support; the fourth sensor group includes one piezoelectric thin-film sensor arranged at the lower part of the lumbar support; the fifth sensor group includes one piezoelectric thin-film sensor arranged at the upper part of the lumbar support; and the sixth sensor group includes a flexible piezoresistive array sensor with a circumferential layout, covering the abdominal core muscle area.

[0024] Flexible piezoresistive film sensors correspond to superficial muscles, miniature strain sensors correspond to deep muscles, and piezoelectric film sensors correspond to muscles involved in respiration. Each sensor has a sampling frequency of 100 times / second, a delay of ≤10ms, and an installation tolerance of ±5mm.

[0025] After the user sits down, their lower back comes into contact with the acquisition mechanism 12 on the support unit. The first to sixth sensor groups in the acquisition mechanism 12, corresponding to the erector spinae muscle monitoring area, quadratus lumborum muscle monitoring area, multifidus muscle monitoring area, pelvic floor muscle monitoring area, diaphragm muscle monitoring area, and transverse abdominis muscle monitoring area, independently and accurately collect pressure data of the corresponding muscle groups. The control module 6 receives and processes this data in real time and drives the support unit to perform corresponding adjustment actions accordingly. By assigning sensor zones to specific muscle groups, a fundamental leap has been achieved from overall area pressure monitoring to precise muscle-level identification, making the support adjustment highly targeted and improving the product's intelligence and comfort.

[0026] In one alternative embodiment, a first flexible layer 3 is bonded to the side of the base 2 closest to the human body, and an outer layer 9 is bonded to the side of the first flexible layer 3 away from the base 2. An installation groove is provided on the outer layer 9 for installing the acquisition mechanism 12.

[0027] The outermost layer 9 is made of frosted velvet.

[0028] The first flexible layer 3 and the outer layer 9 arranged sequentially on the base 2 together form a comfortable support base; the mounting groove opened on the outer layer 9 provides installation space for the acquisition mechanism 12, ensuring the stability of the sensor position and the reliability of data acquisition during long-term use.

[0029] In one alternative embodiment, the support includes a second flexible layer 8, which is bonded to the side of the first flexible layer 3 away from the base 2. A plurality of support modules 7 are fixed to the side of the second flexible layer 8 away from the first flexible layer 3, and the support modules 7 are electrically connected to the control module 6. Multiple support modules 7 are respectively set in the erector spinae muscle monitoring area, quadratus lumborum muscle monitoring area, multifidus muscle monitoring area, pelvic floor muscle monitoring area, diaphragm muscle monitoring area and transverse abdominis muscle monitoring area.

[0030] The first flexible layer 3 is down-filled doll cotton. The second flexible layer 8 is silicone.

[0031] The second flexible layer 8 in the support section provides a bottom layer buffer, while the multiple support modules 7 set on it operate independently in six muscle monitoring areas. The control module 6 can instruct the support modules 7 in specific monitoring areas to move according to the data of the acquisition mechanism 12, so as to achieve targeted support and adjustment of specific fatigued muscles such as erector spinae and quadratus lumborum, rather than overall movement, which greatly improves the accuracy of fatigue relief.

[0032] In one alternative embodiment, the control module 6 is disposed between the second flexible layer 8 and the first flexible layer 3, and the control module 6 is electrically connected to the power supply 5 and the Bluetooth module 4.

[0033] The control module 6 is located between the second flexible layer 8 and the first flexible layer 3, which protects the core control components and optimizes the internal space. Its electrical connection with the power supply 5 and the Bluetooth module 4 ensures the continuous power supply of the system and the ability to transmit wireless data with peripherals, realizing intelligent remote interaction functions.

[0034] In one alternative, the acquisition mechanism 12 is bonded to the mounting layer 11, which is bonded to the third flexible layer 10. The third flexible layer 10 is disposed on multiple support modules 7, and the acquisition mechanism 12, the third flexible layer 10, and the mounting layer 11 are all adapted to the mounting groove.

[0035] The mounting layer 11 is made of cotton and linen fabric, and the third flexible layer 10 is made of soft and elastic sponge.

[0036] Each sensor on the acquisition mechanism 12 is bonded to its corresponding position on the mounting layer 11 using flexible conductive adhesive. The sensor signal terminals are connected to the control module 6 via leads. Then, a highly elastic layer 13 is used to cover the acquisition mechanism 12. The acquisition mechanism 12 is fixed to the third flexible layer 10 via the mounting layer 11, and the third flexible layer 10 is laid on the support module 7. This layered structure allows the acquisition mechanism 12 to more directly and sensitively sense the micro-deformation caused by the movement of the support module 7 and the user's waist pressure, thereby obtaining more accurate muscle force data.

[0037] In one alternative embodiment, a highly elastic layer 13 is bonded to the side of the receiving mechanism 12 away from the mounting layer 11, and the highly elastic layer 13 is adapted to the mounting groove. The highly elastic layer 13 is made of highly elastic fabric.

[0038] The highly elastic layer 13 covering the outside of the acquisition mechanism 12 acts as a protective layer, which can effectively prevent sweat and wear from damaging the sensitive element. At the same time, its high elasticity ensures that the pressure signal can be transmitted to the sensor without attenuation, which not only extends the service life but also ensures the accuracy of the monitoring data.

[0039] In one alternative embodiment, the support module 7 includes a telescopic bladder 702, which is electrically connected to the control module 6. The telescopic bladder 702 is fixedly mounted on the second flexible layer 8, and an elastic ball 701 is fixedly connected to the movable end of the telescopic bladder 702. The elastic ball 701 is connected to the third flexible layer 10.

[0040] The support module 7 drives the elastic ball 701 to move through the telescopic movement of the telescopic bladder 702. The elastic ball 701 transmits force to the third flexible layer 10 and then acts on the waist of the human body. This design can achieve gentle yet powerful support in a local area, accurately mimicking the physical effect of human hand pressure massage, and effectively relieving fatigued muscles.

[0041] In one alternative, a light strip 14 is circumferentially fixed to the outer edge of the base 2, and the light strip 14 is electrically connected to the control module 6.

[0042] The light strip 14 surrounding the base 2 is controlled by the control module 6. It can emit different colors of light according to the working mode, power status or muscle fatigue level, providing users with intuitive visual cues and ambient lighting, enhancing the product's interactive experience and technological feel.

[0043] In one alternative, a decorative strip 15 is circumferentially fixed to the outer edge of the base 2, and the first flexible layer 3, the outer surface layer 9, and the light strip 14 are all located inside the decorative strip 15 and fixed to it.

[0044] The decorative strip 15 is circumferentially fixed to the outer edge of the base 2, integrating and wrapping the edges of the first flexible layer 3, the outer surface layer 9 and the light strip 14, giving the product a complete and beautiful appearance, while also reinforcing the overall structure and preventing the internal layers from shifting.

[0045] In one alternative, a support member 1 is fixed to the side of the base 2 facing away from the human body.

[0046] The support component 1, fixed to the back of the base 2, provides a stable base support for the entire lumbar support, ensuring that the product can firmly fit the seat back during use without slipping, and providing a stable working platform for the internal sensing and adjustment system.

[0047] After the user sits down, their lower back contacts the support, and the acquisition mechanism 12 on the support begins to operate. The first sensor group in the erector spinae muscle monitoring area, the second sensor group in the quadratus lumborum muscle monitoring area, the third sensor group in the multifidus muscle monitoring area, the fourth sensor group in the pelvic floor muscle monitoring area, the fifth sensor group in the diaphragm muscle monitoring area, and the sixth sensor group in the transverse abdominis muscle monitoring area independently and accurately collect pressure data for their respective muscle groups. This data is transmitted in real time to the control module 6 located between the second flexible layer 8 and the first flexible layer 3. The control module 6 has a built-in AI chip that executes the following data processing algorithm to analyze and process the received sensor data to accurately identify muscle fatigue status: Step 1: Data Preprocessing The raw pressure signal acquired by the sensor is denoised and normalized. The specific execution logic is as follows: 1. Signal synchronization alignment: The pressure data from the 6 sets of sensors are timestamped to eliminate differences in acquisition delay.

[0048] 2. Pressure data smoothing: Apply a moving average window (window length 10 sampling points) to eliminate instantaneous jitter.

[0049] 3. Normalization: The pressure signal is mapped to the [0,1] interval to eliminate dimensional differences.

[0050] Step 2: Feature Extraction Temporal and gradient features, including peak, mean, and gradient, are extracted from the preprocessed stress data.

[0051] The specific execution steps are as follows: feature extraction is performed on each group of sensors (i=1,2,...,6), and feature vectors are formed by following the feature allocation rules: peak values ​​are extracted from the data of the first and fourth groups of sensors, mean values ​​are extracted from the data of the second and fifth groups of sensors, and gradient values ​​are extracted from the data of the third and sixth groups of sensors.

[0052] Step 3: Feature Fusion and Optimization The extracted features are fused to obtain a comprehensive index characterizing the state of each muscle monitoring area. This invention employs a dynamic weighting strategy for feature fusion optimization, with the specific steps as follows: 1. Calculate the signal-to-noise ratio (SNRP) for the pressure data of each sensor group.

[0053] 2. Dynamic Weight Determination: This algorithm introduces a dynamic weight adjustment mechanism based on signal quality. When multiple types of sensors (such as pressure and electromyography) are configured in the same monitoring area, the core rule for determining the weights is: compare the signal-to-noise ratio (SNREMG) of the electromyography signal with the signal-to-noise ratio (SNRP) of the pressure signal. If SNREMG > SNRP, the electromyography feature is given a higher weight (e.g., α=0.6, β=0.4); otherwise, the pressure feature is given a higher weight (e.g., α=0.4, β=0.6); if they are equal, the average weight is taken (α=0.5, β=0.5). This mechanism ensures that the fusion result still has high reliability when a single signal is disturbed. For the current embodiment, subsequent calculations are mainly based on the pressure signal characteristics.

[0054] 3. Intra-group fusion calculation: Fi=β fiP (where fiP is the pressure feature extracted in step 2, β is the weighting coefficient assigned according to signal quality, i=1,2,...,6).

[0055] 4. Output a 6-dimensional fusion feature vector: F=[F1,F2,F3,F4,F5,F6], which corresponds to the state quantization value of each muscle monitoring area.

[0056] Step 4: Dynamic threshold invocation Retrieve the muscle fatigue threshold for the user's current BMI range from the pre-stored body type matching database. The specific execution steps are as follows: 1. Body shape parameter acquisition: Read the identified user's weight W (kg) and waist circumference C (cm) from the control module memory.

[0057] 2. BMI calculation: BMI = W / ((C / 100)^2).

[0058] 3. BMI Range Determination: Determine the user's BMI range (e.g., underweight, normal weight, overweight, obese, severely obese) based on the calculation results.

[0059] 4. Threshold retrieval: Retrieve 6 sets of muscle fatigue thresholds Thi (i=1,2,...,6) corresponding to the BMI range from the body type adaptation database.

[0060] 5. Dynamic fine-tuning: Personalized fine-tuning of thresholds within a range of ±10% based on users' historical usage data.

[0061] Step 5: Fatigue Status Assessment The fused feature vector F obtained in step 3 is compared with the dynamic threshold Th retrieved in step 4. For the i-th muscle monitoring area, if the condition Fi>Th is met and this state lasts for more than a preset time (e.g., 30 seconds), the corresponding muscle group is determined to be in a state of fatigue, and a corresponding fatigue determination signal is generated.

[0062] The core of the intelligent decision-making system constructed in this invention lies in the fatigue recognition algorithm running in the AI ​​chip. This algorithm achieves high-precision, robust, and real-time fatigue state determination through the collaborative operation of three mechanisms: multimodal data fusion, dynamic weight adjustment, and personalized threshold adaptation. The entire determination cycle is ≤200ms, ensuring the system's real-time performance.

[0063] The control module 6 generates control commands based on the algorithm analysis results described above. These commands drive the support module 7, which is located in the corresponding muscle monitoring area, to move. Specifically, the control module 6 controls the expansion and contraction of the telescopic bladder 702, thereby driving the movement of the elastic ball 701 fixed thereto. The force of the elastic ball 701 is transmitted through the third flexible layer 10 and ultimately acts on specific muscle groups in the user's waist to achieve targeted support adjustment. The entire system is powered by the power supply 5 and can communicate with external devices via the Bluetooth module 4. At the same time, the light strip 14 controlled by the control module 6 can provide status prompts. The multi-layer structure of the product, including the base 2, the first flexible layer 3, the outer layer 9, the mounting layer 11, the high elastic layer 13, the decorative strip 15, and the support component 1, together ensure the stability of the sensor positioning, the accuracy of data acquisition, the effectiveness of the adjustment action, and the overall comfort and aesthetics of use.

[0064] The parameters of the intelligent lumbar support of this invention are as follows: sensor sampling frequency is 100 times / second, system response time is ≤50 milliseconds, actuator adjustment time is ≤300 milliseconds, support strength is adjustable from level 1 to 10, support angle is adjustable from 18° to 28°, applicable weight range is 40-100kg, and applicable waist circumference range is 65-110cm.

[0065] In the description of this invention, it should be understood that the terms "longitudinal", "lateral", "up", "down", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this invention, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0066] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made by those skilled in the art to the technical solutions of the present invention without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A smart lumbar support cushion, characterized in that, include: The base (2) is provided with a support part for supporting the human body. The support part is provided with an acquisition mechanism (12) for contacting the human body. The support part and the acquisition mechanism (12) are both electrically connected to the control module (6). The control module (6) is configured to control the action of the support part based on the data acquired by the acquisition mechanism (12). The surface of the base (2) is provided with an erector spinae muscle monitoring area, a quadratus lumborum muscle monitoring area, a multifidus muscle monitoring area, a pelvic floor muscle monitoring area, a diaphragm muscle monitoring area and a transverse abdominis muscle monitoring area; The acquisition mechanism (12) includes a first sensor group located in the erector spinae muscle monitoring area for acquiring erector spinae muscle pressure data; a second sensor group located in the quadratus lumborum muscle monitoring area for acquiring quadratus lumborum muscle pressure data; a third sensor group located in the multifidus muscle monitoring area for acquiring multifidus muscle pressure data; a fourth sensor group located in the pelvic floor muscle monitoring area for acquiring pelvic floor muscle pressure data; a fifth sensor group located in the diaphragm muscle monitoring area for acquiring diaphragm muscle pressure data; and a sixth sensor group located in the transverse abdominis muscle monitoring area for acquiring transverse abdominis muscle pressure data.

2. The intelligent lumbar support according to claim 1, characterized in that: A first flexible layer (3) is bonded to the side of the base (2) closest to the human body, and an outer layer (9) is bonded to the side of the first flexible layer (3) away from the base (2). An installation groove is provided on the outer layer (9), and the installation groove is used to install the acquisition mechanism (12).

3. The intelligent lumbar support according to claim 2, characterized in that: The support includes a second flexible layer (8), which is bonded to the side of the first flexible layer (3) away from the base (2). A plurality of support modules (7) are fixed to the side of the second flexible layer (8) away from the first flexible layer (3). The support modules (7) are electrically connected to the control module (6). Multiple support modules (7) are respectively set in the erector spinae muscle monitoring area, quadratus lumborum muscle monitoring area, multifidus muscle monitoring area, pelvic floor muscle monitoring area, diaphragm muscle monitoring area and transverse abdominis muscle monitoring area.

4. The intelligent lumbar support according to claim 2, characterized in that: The control module (6) is disposed between the second flexible layer (8) and the first flexible layer (3), and the control module (6) is electrically connected to a power supply (5) and a Bluetooth module (4).

5. The intelligent lumbar support according to claim 2, characterized in that: The acquisition mechanism (12) is bonded to the mounting layer (11), the mounting layer (11) is bonded to the third flexible layer (10), the third flexible layer (10) is disposed on the plurality of the support modules (7), and the acquisition mechanism (12), the third flexible layer (10) and the mounting layer (11) are all adapted to the mounting groove.

6. The intelligent lumbar support according to claim 2, characterized in that: A highly elastic layer (13) is bonded to the side of the acquisition mechanism (12) away from the mounting layer (11), and the highly elastic layer (13) is adapted to the mounting groove.

7. The intelligent lumbar support according to claim 2, characterized in that: The support module (7) includes a telescopic bladder (702), which is electrically connected to the control module (6). The telescopic bladder (702) is fixedly installed on the second flexible layer (8). An elastic ball (701) is fixedly connected to the movable end of the telescopic bladder (702), and the elastic ball (701) is connected to the third flexible layer (10).

8. The intelligent lumbar support according to claim 2, characterized in that: A light strip (14) is circumferentially fixed to the outer edge of the base (2), and the light strip (14) is electrically connected to the control module (6).

9. The intelligent lumbar support according to claim 2, characterized in that: A decorative strip (15) is circumferentially fixed to the outer edge of the base (2). The first flexible layer (3), the outer surface layer (9), and the light strip (14) are all located inside the decorative strip (15) and fixed to the decorative strip (15).

10. The intelligent lumbar support according to claim 2, characterized in that: A support member (1) is fixedly connected to the side of the base (2) facing away from the human body.

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