53 results about "Muscle force" patented technology

The invention provides an intelligent wearable rehabilitation monitoring and evaluation device after anterior cruciate ligament injury, and relates to the technical field of exercise rehabilitation and intelligent medical monitoring, the device comprises a sensor acquisition module, a signal processing module, a compensation determination module, a difference determination module and an evaluation analysis module, a force-electricity coupling flexible sensor, an IMU and a pressure sensor, the method comprises the following steps: synchronously collecting a muscle force signal, a surface electromyogram signal, an attitude signal and a plantar pressure signal at the same position, performing dynamic filtering, confidence enhancement and personalized compensation processing, extracting a difference feature vector, inputting the difference feature vector into a muscle force prediction model, and outputting a quantitative evaluation result. The portable wearable long-term dynamic monitoring is realized, the core indexes of muscles, joints and gaits are covered in multiple dimensions, the assessment is accurate and real-time, the rehabilitation scheme can be optimized, the risk of re-injury is reduced, and the rehabilitation effect and compliance of a patient are improved.

The invention relates to the technical field of rehabilitation medical treatment, and discloses a muscle group stress analysis method and device, a terminal and a storage medium, and the method comprises the steps: respectively obtaining motion data collected by inertial measurement units arranged on the body of a user, and recognizing gait events based on the motion data corresponding to the inertial measurement units of the lower limbs, dividing the continuous motion data into a plurality of gait cycles according to the gait event; fusing the motion data acquired by each inertial measurement unit to obtain a three-dimensional posture of each preset segment of the body, and constructing a three-dimensional motion track of the spine area of the user in combination with a human kinematics chain model; processing the three-dimensional motion track and the known muscle group stress data by adopting a singular value decomposition embedding regression method to obtain a preliminary target muscle group stress curve of each gait cycle; and correcting the initial target muscle group stress curve based on a human body multi-rigid-body dynamic model in combination with a control cost function to obtain a final target muscle group stress curve.

The invention provides a patient rehabilitation tracking system, a rehabilitation training regulation and control method based on active perception and environment self-adaption, equipment and a medium, and the method comprises the steps: determining a cooperative motion state of a nerve-muscle-bone system according to a multi-modal physiological data flow of rehabilitation training tracking of a target patient; performing intention-muscle force cooperative identification based on the cooperative motion state to obtain motion intention and muscle force contribution distribution of the target patient; determining a dynamic risk map of the target patient during rehabilitation training; variable universe fuzzy reasoning is carried out on the motion intention, the muscle force contribution distribution and the dynamic risk map, and then a rehabilitation adjustment instruction matched with the rehabilitation state of the target patient is obtained; the rehabilitation progress of the target patient is continuously tracked, and the rehabilitation training robot is controlled to execute self-adaptive power-assisted compensation according to the rehabilitation adjustment instruction. By means of the scheme, motion intention decoding and muscle force contribution analysis can be conducted on rehabilitation training of the patient, and rehabilitation training regulation and control are conducted in combination with the dynamic environment risk.

The invention provides a rehabilitation training feedback system and method. The method comprises the following steps: acquiring a surface electromyogram signal; a plurality of activation trend indexes are determined through the surface electromyogram signals, and then muscle force activation points of different muscle areas are extracted from the surface electromyogram signals according to all the activation trend indexes; performing collaborative analysis on the basis of a function collaborative relationship in combination with all muscle force activation points to obtain time sequence response tensors between all motion joints and corresponding muscle areas when motion responses are inconsistent; according to the joint angle information and the time sequence response tensor, constructing a functional coupling graph, and further performing kinematic chain simulation on a rehabilitation training process through the functional coupling graph to obtain a response consistency index; and performing feedback control on the rehabilitation training process of the patient according to the response consistency index in combination with a preset consistency threshold. By means of the scheme, feedback control can be conducted on rehabilitation training of the patient based on the space-time coupling relation between muscle group microstructure changes and mechanical conduction characteristics.

The invention relates to the technical field of medical instruments, in particular to a magnetic control pulse type pelvic floor nerve muscle stimulator and a parameter optimization system thereof. Comprising a host, a dynamic layered pulse waveform generation technology module, a multi-target reinforcement learning parameter optimization module, a multi-modal biofeedback fusion and VR enhancement module, and a flexible wearable stimulation array and ultrasonic targeting module. The system has the advantages that real-time data and deep learning are achieved, and personalized precise treatment is achieved, in the actual use process, the dynamic layered pulse waveform generation technology module predicts the requirements of muscles in the next stage through a deep learning model on the basis of pelvic floor electromyographic signals, pressure data and infrared thermal imaging which are collected in real time, and the treatment accuracy is improved. Dynamically generating a composite pulse waveform; the multi-objective reinforcement learning parameter optimization module constructs a'state-action-reward 'reinforcement learning framework, and takes patient treatment feedback, muscle force improvement, pain score and treatment compliance as reward signals.

The LNTPI is a surgical instrument used to cut through fibrotic and edematous tissue to define the natural tissue plane of dissection. After defining the natural tissue plane, it is designed to move or carefully insinuate tissues along these natural planes without cutting the tissue, so that targeted organs or parts thereof could be viewed and reached during laparoscopic procedures. The following features make the LNTPI unique compared to standard blunt dissectors used in laparoscopy: 1. The tip of the LNTPI is coarse and not smooth. The tip has diagonal, spiral ridges from the sides which are carried onto the tip converging as a single spiral at the center of the tip, creating a pattern resembling that of a screw; 2. The ridges of the LNTPI are comprised of asymmetrical triangular ridges with an acute angle at the apex that may be leaning along with or against the rotation of the spiral; 3. The tip of the LNTPI is made of tungsten carbide metal instead of stainless steel; 4. Dissection can be done in the usual up, down, left, and right motions as standard dissectors; 5. The side of the LNTPI can be used to "peel" tissue by using the ridges on its side combined with a twisting movement. This maneuver cannot be performed using standard dissectors; and 6. The tip of the LNTPI can perform circumferential dissection when used with a twisting movement causing it to engage tissue like a "drill" along the natural tissue plane. The ridges that converge into a single spiral at the tip of the invention appear like a screw and with the proper twisting movement have a similar effect on tissue. Because of the texture, design, and material used for the tip of the LNTPI, it has the following advantages over standard dissectors: The LNTPI can engage tissues more easily even if the tissues are slippery due to the presence of blood or fluids. The LNTPI can be used to engage tissues through a twisting motion which motion allows the tissues to be engaged in a specific manner that defines natural tissue dissection planes. The LNTPI can insinuate / "peel" tissue by using the side spiral ridges in combination with a twisting movement. The LNTPI can perform circumferential dissection by using the tip and the convergence of the spiral ridges at the center of the tip in combination with a twisting movement. The transfer of lateral shear force to the tissue at various angles (45, 90, and 180 degrees) when using the LNTPI is significantly higher whether the motion is by a sweeping motion or twisting of the instrument, allowing it to insinuate better than standard instruments, especially in a wet field. Hand movements needed in insinuating tissue using the LNTPI are different from the usual hand movements when using standard dissection instruments. The hand movements in using LNTPI require less muscular effort and repetitiveness, thus preventing muscle fatigue and repetitive use injury among surgeons. The instrument is reusable, as compared to dissectors that have fabric at the tip, which must be disposed of and replaced once the fabric tip fully absorbs the blood or other fluid in the wet tissue surface.

This invention relates to the interdisciplinary field of image recognition and intelligent medical technology, specifically disclosing a method for orthopedic rehabilitation movement recognition and assessment based on image recognition. This method acquires patient motion images using a non-invasive multi-view visual sensor, extracts the three-dimensional coordinates of key skeletal points, and constructs a parametric biomechanical digital twin model integrating joint range of motion, muscle force lines, and ligament tension mechanisms. The key point data is input into a graph neural network for posture recognition, and the digital twin model is simultaneously invoked for physical feasibility verification and posture correction. Finally, the spatiotemporal trajectory similarity is calculated using a standard rehabilitation movement template, generating a comprehensive assessment result including movement completion, safety level, and injury risk. This invention, through the above technical solution, improves the robustness, physiological rationality, and clinical safety of movement recognition.

The invention discloses novel rehabilitation medical knee assisting equipment, and relates to the technical field of medical rehabilitation equipment and disability assisting medicines.The novel rehabilitation medical knee assisting equipment comprises two knee fixing base plates, knee rotating connecting pieces are arranged on one sides of the two knee fixing base plates, and extension spring guide plates are arranged on one sides of the two knee rotating connecting pieces; one side of each extension spring guide disc is provided with a deep groove ball bearing, one end of each deep groove ball bearing is provided with an end face bearing, one side of each deep groove ball bearing is provided with a plurality of locknuts, and the other side of each deep groove ball bearing is provided with a plurality of first fastening screws. Extension spring positioning pin columns are arranged at the bottoms of the two knee fixing base plates and used for fixing the lower limbs, the user can adapt according to the actual muscle strength of the legs of the user according to the magnitude of knee bending force determined by the user, meanwhile, the used muscle strength can be reversely trained, and the training effect is good. And a certain rehabilitation training effect can be achieved on damaged muscular tissues.

The present invention relates to an orthodontic appliance and system for aligning the patient's teeth. It consists of a specially designed bracket with rounded edges and several guides or perforations around the wing, to which a special fastening system is applied. This method allows for treatment under a straight-wire orthodontic system with light forces and minimal friction between the archwires and the bracket. It promotes the physiological movement of the teeth on the alveolar bone and supporting tissues, maintaining a perfect balance between muscular forces and producing a more stable position in the alveolar bone.

The invention discloses a gait muscle force and activation real-time prediction method based on a physical constraint model, and belongs to the technical field of sports biomechanics and artificial intelligence. The method comprises the following steps: 1, inputting only hip, knee and ankle joint angles as input data; 2, a model backbone is a Transform; 3, multi-task loss constraint model training; 4, adjusting model parameters; and 5, calculating muscle activation. According to the invention, force and activation of multiple muscles can be output in real time only by inputting a joint angle sequence; the joint moment constraint is added in the loss, so that the prediction meets the biomechanical law, the precision, robustness and interpretability are considered, the traditional static optimization or dynamic optimization method can be replaced, and the process can be carried out in multiple scenes.

The postoperative muscle force rehabilitation detection system comprises a muscle sound sensing module, a wireless receiving module and an upper computer, the muscle sound sensing module comprises a vibration sensing module and a communication module, the communication module comprises a wireless transmitting module, and the wireless transmitting module is in signal connection with the wireless receiving module. And the wireless receiving module is electrically connected with the upper computer. According to the postoperative muscle strength rehabilitation detection system and method, through cooperative arrangement of the muscle sound sensing module, the wireless receiving module and the upper computer, noninvasive detection of human muscle strength is achieved, the influence of skin surface binding on muscle vibration is greatly reduced, and the postoperative muscle strength rehabilitation detection system and method have the advantages of being high in sensitivity and large in frequency response range.

A method implemented on an electronic computing device for estimating a force potential of a muscle or muscle group is described. The method comprising: receiving an image of a patient, the image depicting at least a portion of a muscle or muscle group; segmenting the image of the patient to produce a segmented patient image, the segmented patient image comprising at least one segmented muscle or segmented muscle group; and estimating a muscle force potential for the segmented muscle or segmented muscle group, wherein the estimated muscle force potential is based at least partially on the segmented patient image.

The invention provides a folding support frame for clinical seat balance training, and relates to the technical field of clinical medical treatment. Four adjusting legs are arranged at the bottom of the seat frame, and a mounting seat is fixedly mounted in the middle of the rear end of the top of the seat frame. The angle of the backrest frame can be flexibly adjusted according to the recovery condition of a patient and can be adjusted to 90 degrees to provide complete support during primary training, the inclination amplitude can be gradually adjusted along with muscle force increase of the patient, the patient is guided to actively exert force to maintain balance, transition from passive support to active training is achieved, and the training requirements of different recovery stages are met. The problems that although folding backrest chairs sold in the market at present can meet the supporting function, but the folding backrest chairs lack effective protection measures, and when patients in the early stage after operation and bedridden for a long time are subjected to sitting training, the patients slip off and even fall down from the bedside due to insufficient muscle force of the lower back are solved.

Methods and apparatus disclosed treat pain and mobility impairments by applying controlled subatmospheric pressure to skin over muscle tissue or joints during volitional muscle contractions against adaptive therapist resistance. Domes with basal openings sealing against skin perimeters, are evacuated to 13-90% of atmospheric pressure. Some embodiments have 3-10 second contraction intervals repeated at least three times per subatmospheric treatment cycle, before pressure is ramped to ambient pressure over at least 2 seconds. Results are improved range of motion, muscle strength, and pain reduction. Apparatus embodiments include vacuum manifolds, sensors for pressure and tissue distension, and optional integrated electrodes for performing TENS / STIM.

The utility model discloses a spine muscle force measuring device which comprises a support and a multi-gear height adjusting frame body arranged on the support. The measuring part is arranged on the front side of the multi-gear height adjusting frame body and is used for measuring the muscle force of the waist and neck of a measured person; the measuring part is composed of a sensing assembly and a contact module. According to the spine muscle measuring device, a tested person does neck and waist flexion and extension actions, the contact module is used as a contact point, the sensing assembly is used as a display unit and a counting unit of a standard value, and the standard times are used as a standard for judging muscle strength, so that the spine muscle measuring process of the tested person is realized, the operation is simple, and meanwhile, the multi-gear height adjusting frame body is convenient to use. The position of the contact module is further adjusted, and muscle force measurement of different postures is met.

The application belongs to the technical field of robots, and discloses a rehabilitation robot force perception network method and system based on dynamic weight fusion, which acquires original electromyography signals and original force signals, and respectively performs feature enhancement on the original electromyography signals and the original force signals by using a generative adversarial network; based on a muscle force grading adaptive mechanism, the original electromyography signals and the original force signals after feature enhancement are respectively fused to obtain a fused force perception value; by using an adaptive calibration mechanism and an adaptive compensation mechanism, the acquired temperature and humidity data and the calibration signals are processed to extract a baseline drift correction value and a temperature compensation coefficient, and the baseline drift correction value is input into the muscle force grading adaptive mechanism for optimization; by using a multi-scale feature fusion mechanism, the extracted fused force perception value and the temperature compensation coefficient are fused and processed to obtain fused multi-scale features. The application significantly improves the perception effect of patients with extremely weak muscle strength and spasm.

A muscle force assistance device and method are described. The disclosed device comprises: a first device worn on a portion of a user's body; a second device worn on another portion of the user's body; and a constant load generating part including a constant load spring device that is provided on the first device and applies a constant load to the second device, the method comprises the steps that the first device worn on a part of the body of the user applies a constant load to the second device worn on another part of the body of the user, a constant load generating portion provided on the first device applies a constant load to the user in response to a change in a relative distance between the first device and the second device or a change in a body shape according to a body movement of the user.

The invention discloses limb rehabilitation equipment, and belongs to the technical field of limb rehabilitation, a leg stretching assembly comprises two symmetrically arranged leg limiting cylinders, the top of a lifting plate is connected with two symmetrically arranged vertical fixing plates, one side of each vertical fixing plate is provided with a stroke groove, and the stroke groove is connected with the lifting plate. The side, close to the vertical fixing plate, of the leg limiting cylinder is connected with a stroke block, the stroke block is connected into the stroke groove in a sliding mode, and one end of the leg limiting cylinder is provided with a foot bottom bearing box used for bearing and attaching to the foot bottom of the patient. According to the invention, a patient with autonomous movement ability is allowed to actively bend knees to overcome the resistance of the adjustable spring for strength exercise; the acting force of the spring can be accurately adjusted according to the rehabilitation progress through the adjusting bolt, so that the muscle force requirements in different rehabilitation stages are met, on one hand, auxiliary rehabilitation training of the lower limbs of paralyzed patients is achieved, blood circulation of the lower limbs of the patients is promoted, and on the other hand, progressive muscle force improvement of active training patients is met.

The invention relates to the field of medical health monitoring, in particular to a chronic respiratory disease patient muscle health intelligent monitoring and intervention system which comprises a multi-dimensional time-frequency impedance analysis monitoring module, a respiration-movement cooperative training device module and a nutrition management platform. Performing time-frequency domain analysis on the signals by using multi-scale wavelet decomposition, and extracting muscle function characteristic parameters; quantitative evaluation of a respiratory muscle and intestinal muscle collaborative function is realized through phase synchronization analysis, a personalized baseline and a multi-stage early warning threshold are constructed, and early recognition of muscle dysfunction is realized; the training load and the training mode are dynamically adjusted according to the breathing muscle force percentage, and breathing training and swallowing muscle group training are combined; a personalized nutrition scheme is formulated based on muscle function parameters and metabolic states, the system achieves multi-dimensional evaluation of respiratory muscle and intestinal muscle functions, the function degradation trend is found 2-4 weeks ahead of time, and the training effect is improved by about 35%.

The invention relates to the cross technical field of artificial intelligence, digital twinning, biomechanics and the like, in particular to an AI Agent construction method based on motion digital twinning and deep motion data analysis, and the method comprises the following steps: collecting motion data of a user, calculating joint angles and displacements at each moment, calculating moments borne by joints, and obtaining motion data of the user; then, the activation degree and muscle force of each muscle in the model at each moment are solved by taking the minimum muscle activation quadratic sum as a target, then heel landing and tiptoe off-ground events are recognized, a feature time sequence is obtained, distance features with training set samples are calculated and embedded into a target low-dimensional space, and embedded features are obtained; and generating personalized feedback information according to the embedded features. Therefore, the problems that in the prior art, only a displacement-time sequence can be observed in a real scene, external force information is lost, and fine labeling of a muscle layer is scarce, so that driving mechanical quantity is difficult to recover, evaluation cannot be explained, and engineering landing is difficult are solved.

The application provides an exoskeleton robot control method, system, controller and storage medium, and relates to the technical field of exoskeleton robots. The method comprises the following steps: obtaining a deformation variable of a human muscle group; inputting the deformation variable into an intention recognition model to obtain an action intention of the human body output by the intention recognition model; inputting the deformation variable into a muscle force mapping model to obtain muscle force of the muscle group output by the muscle force mapping model; determining a control instruction of each joint of the exoskeleton robot based on the action intention and the muscle force of the muscle group; wherein the intention recognition model is obtained by training based on sample data of the deformation variable of the human muscle group and sample data of the action intention of the human body; and the muscle force mapping model is obtained by training based on sample data of the deformation variable of the human muscle group and sample data of the muscle force of the muscle group. In the control process, both the active force provided by the muscle force of the human muscle group and the action intention of the human body are considered, so that the exoskeleton robot adjusts the provided auxiliary force according to the high and low active force of the human body to automatically adapt to the change of the muscle force of the user.

The invention provides a feedback-type efficiency-enhanced electrical stimulation method and device. The method comprises the following steps: acquiring voice feedback information and muscle force state feedback information of electrical stimulation operation of a living body; based on the voice feedback information and the muscle force state feedback information, determining a subjective and objective intensity actual value corresponding to the organism electrical stimulation operation; and determining a target adjustment value of the electrical stimulation intensity of the organism electrical stimulation operation based on the subjective and objective intensity actual value and a subjective and objective intensity expected value corresponding to the organism electrical stimulation operation. According to the technical scheme, the intelligent level and accuracy of electrical stimulation intensity adjustment are improved.

The application discloses a method and equipment for extracting muscle tension related electromyographic signals, and belongs to the field of health and sanitation. The method comprises the following steps: constructing a human body muscle force confrontation mode between a detector and a reference person; collecting first confrontation mode characteristic data and a first electromyographic signal of the detector in the human body muscle force confrontation mode, and collecting second confrontation mode characteristic data and a second electromyographic signal of the reference person; constructing a muscle tension related electromyographic signal correction model based on the second confrontation mode characteristic data and the second electromyographic signal; inputting the first confrontation mode characteristic data into the muscle tension related electromyographic signal correction model, and calculating a theoretical value of the electromyographic signal of the detector; and extracting a muscle tension related electromyographic signal characteristic of the detector according to the difference between the first electromyographic signal and the theoretical value of the electromyographic signal. The application provides a numerical index for the muscle tension state.

This invention provides a method, device, and electronic device for simulating hydraulic muscles based on the MuJoCo physics engine, belonging to the field of robot simulation technology. The method includes: acquiring the current state information of the hydraulic muscle and a predefined fixed-length parameter array; and calculating the hydraulic muscle force using a polynomial constitutive model of the hydraulic muscle through a preset muscle force calculation function interface in MuJoCo, wherein the interface is consistent with the original Hill muscle model interface of the engine. Using this invention, accurate integration of the hydraulic muscle model can be achieved without modifying the MuJoCo engine interface, improving the compatibility, stability, and modeling accuracy of the simulation system.

The utility model discloses a rehabilitation training device for hemiplegic patients, and belongs to the technical field of rehabilitation training devices.The training device comprises a fixing frame and supporting legs installed on the fixing frame, a positioning frame used for being connected with the supporting legs is hinged to the fixing frame, and four sets of fixing bases are arranged on the positioning frame in an array mode; a fixing rod is arranged between every two fixing seats, an adjusting mechanism is arranged on each fixing rod, a transverse push plate used for being arranged on the fixing rods in a sleeving mode is arranged on the positioning frame, grips are symmetrically distributed on the transverse push plate, each adjusting mechanism comprises a spring arranged on the corresponding fixing rod in a sleeving mode, and the springs are arranged on the springs in a sleeving mode. The two ends of the spring are each fixedly provided with an assembly ring used for being arranged on the corresponding fixing rod in a sleeving mode. By the adoption of the replaceable design, the spring with the adaptive rigidity is selected according to the muscle force decline degree of the patient, the paralyzed patient can maximize the neuroplastic potential within the safety range, and the applicability of the whole device is wider.

The present application relates to the field of medical rehabilitation, and particularly relates to a leg muscle force evaluation method and device applied to a standing lower limb rehabilitation training device. The method comprises: collecting the no-load average current I void of the left and right leg driving motors in the horizontal state of the bed body of the training device when a user stands on the training device; collecting the average current I0 of the leg muscles of the user in the relaxed state and the horizontal state of the bed body; the calculation formula is as follows: I index =I fdb ‑K*(I0‑I void )*cos(angle); wherein I fdb is the feedback current, angle is the bed body inclination angle, and K is the bed body inclination influence coefficient; and the muscle force grade is determined according to the calculation result I index . The method and device can evaluate the muscle force grades of the left and right legs in real time while the user is performing leg rehabilitation training, provide a reference basis for rehabilitation physicians, and help the patient to perform targeted leg rehabilitation training and ensure the symmetry of the left and right legs.

The application provides a rehabilitation movement action standard detection and evaluation device and method, solves the problem that the limb rehabilitation auxiliary method has single perception dimension and can only capture surface movement. The application comprises a cabin with a front opening and a hatch hinged to the front of the cabin, and the cabin is provided with a light source, a distributed perception system, a display screen and an edge computing gateway; the cabin comprises an outer cabin wall and an inner cabin wall, and the outer cabin wall and the inner cabin wall are filled with a noise reduction filling layer; the distributed perception system comprises a plurality of ceiling perception units distributed on the top of the cabin, and the ceiling perception unit comprises a perception bin, and the perception bin is provided with a first RGB-D camera, a first millimeter wave radar and a thermal imaging layer detection array; the first RGB-D camera, the first millimeter wave radar, the thermal imaging layer detection array, the light source and the display screen are in communication connection with the edge computing gateway. Through multi-dimensional data fusion analysis, unbound and high-precision rehabilitation action detection and evaluation of muscle force, fatigue state and joint health are realized.

The invention discloses a lower limb rehabilitation assisting device for a stroke patient, and relates to the technical field of medical instruments. The control box is installed on the upper side of the outer wall of the lower limb rehabilitation frame, and a touch control screen is installed at the top end of the control box in an embedded mode; the monitoring mechanism is mounted on the outer wall of the control box; the walking auxiliary frame is mounted on the lower side of the outer wall of the monitoring mechanism; through cooperative work of the hip joint connecting frame, the hip joint driving assembly, the thighbone connecting frame, the knee joint driving assembly and other components, the hip joint driving assembly and the knee joint driving assembly can provide accurate joint driving force, and real-time posture monitoring of the monitoring mechanism is matched; the training limitation that the rehabilitation training mode of an existing device is single and fixed is broken through, motion parameters can be dynamically adjusted according to the muscle force recovery levels of a patient in different rehabilitation stages, injured limb injuries caused by track deviation or intensity mismatching are avoided, and the whole-cycle rehabilitation requirement from passive training to active auxiliary training is effectively met.

The invention relates to the technical field of application of lower limb muscle strength exercise equipment, in particular to an anti-falling lower limb muscle strength exerciser which comprises a balance weight seat, a tilting assembly, two standing assemblies, a supporting and blocking assembly, a blocking and protecting assembly and an expansion assembly. Spins and bumping caused by limb deviation in the exercising process are avoided, the inclination angle of the turning plate is adjusted, the front thigh and shank muscles can be guided to sequentially exert force, training can be accurately carried out on the lower limb muscle force weak portions, the difficulty can be adjusted according to the muscle force level of an exerciser, and therefore the progressive exercising effect is achieved, and the training efficiency is improved. Meanwhile, the waist and the abdomen of an exerciser are clamped through the two protection plates, rigid fixation is formed, the falling risk caused by body shaking and unbalance during exercise is effectively prevented, and it is further guaranteed that the overall safety of the exerciser is higher during use.

The invention belongs to the technical field of rehabilitation instruments, and particularly relates to a spinal pelvic unbalance correction device which comprises a seat surface module, a waist supporting module, a sacrum supporting module and a control module. The multi-dimensional linkage adjustment specifically comprises the steps that 10-15 minutes serve as a cycle, the seat surface module is controlled to execute left-right alternate lifting actions, the lifting angle is 0.5-1 degree, the side wing tension of the waist supporting module and the supporting point position of the sacrum supporting module are synchronously adjusted, spiral muscle groups such as trapezius muscle chains and oblique abdominal muscles are specifically activated, the excessively-nervous erector spinae muscles are restrained, and the sacrum supporting function is achieved. The spinal intervertebral disc pressure is reduced. According to the correction equipment for spinal pelvic imbalance, a seat is converted into a dynamic rehabilitation tool from a static supporting tool, deep stable muscles are actively activated through multi-dimensional linkage rhythmic mechanical stimulation on the basis of the SPS spiral stable muscle chain theory, muscle strength imbalance is fundamentally improved, muscle disuse weakening caused by passive supporting is avoided, and the rehabilitation effect of spinal pelvic imbalance is improved. The correction effect is longer.