77 results about "Chest abdomen" patented technology

The invention relates to the technical field of medical instrument control, in particular to a lung biopsy sampling needle stabilizing method and system based on dynamic respiration compensation. The stabilizing method comprises the following steps: acquiring a respiratory movement signal of a patient in real time through a multi-source biosensor, wherein the multi-source biosensor comprises an optical fiber strain sensor array, a diaphragm myoelectricity sensor and a respiratory airflow sensor which are deployed at the chest and abdomen. According to the method, millimeter-microsecond-level accurate and stable control over the lung biopsy sampling process is achieved by establishing a cooperation mechanism of a breathing phase-displacement nonlinear mapping model and a macro-micro composite driving framework. The biological rationality of displacement prediction is improved through deep coupling of multi-mode breathing signals, and the chest wall non-uniform deformation gradient is analyzed in space based on cross topology deployment of an optical fiber strain sensor in an intercostal space area in combination with cross-scale feature fusion of myoelectricity and airflow sensing.

The invention discloses a sleep monitoring method and system based on a non-contact video data sequence. The method comprises the steps that S1, video data streams of human body sleep are collected through a camera system; utilizing a YOLOv11 network to obtain face video data and thoracoabdominal video data; s2, the RPPG signal extraction model extracts and obtains an RPPG signal by using the face video data; s3, the breathing signal extraction model extracts thoracic and abdominal micro-motion change characteristics in the thoracic and abdominal video data by using an optical flow method, and noise filtering processing is carried out to obtain thoracic and abdominal motion signals as breathing signals; s4, the oxyhemoglobin saturation extraction model detects and outputs an oxyhemoglobin saturation signal by using the RPPG signal; and S5, performing multi-modal fusion analysis on the multi-physiological index fusion recognition model according to time slice T1 division to obtain a long-time-sequence sleep stage staging result. According to the invention, the physiological index signals are extracted and recognized by adopting the non-contact video data sequence, and the sleep stage staging result with a long time sequence is obtained, so that high-precision sleep monitoring and sleep stage recognition are realized.

The invention discloses a real-time image registration and path planning system in bronchoscope surgical navigation, relates to the technical field of image registration, and is used for solving the problems that in a thoracic and abdominal minimally invasive interventional operation, organ movement and deformation caused by breathing of a patient can cause obvious influence on the registration precision of a navigation system, and the navigation precision is poor. Space registration of preoperative images and an anatomical structure of a patient in an operation often has errors due to mismatching of breathing phase changes; multi-attitude data are fused, the respiration interference degree is comprehensively evaluated through double indexes, the problem that a traditional static deformation field cannot be matched with dynamic respiration is solved through respiratory cycle driving deformation prediction, displacement errors are corrected through tidal volume observation values, and B spline control point weights are reversely optimized through registration residual errors. A deformation field can adapt to breathing amplitude and frequency differences of different patients, online distillation learning is carried out by taking a registration error output by a filter as a teacher signal, and local residual deformation and chronic changes which are difficult to describe by a traditional global model are accurately captured.

The invention belongs to the field of lung medical data processing and radiotherapy, and discloses a respiratory feature extraction method for chest and abdomen body surface point cloud partitioning by considering a lung physiological structure. After the body surface point cloud image is differentiated, correlation coefficient calculation is carried out according to a lung lobe model reconstructed by a lung 4DCT image, a body surface area highly correlated with a lung lobe structure is selected to carry out motion information dimension reduction recombination, and finally body surface global features of breathing are represented in a three-dimensional vector form. Compared with the prior art, the method has the advantages that the influence of the lung physiological structure on the lung tumor movement mode is creatively considered, meanwhile, the advantages of being noninvasive and free of extra dosage are kept, a new thought can be provided for development of the radiotherapy image guide technology, and further research in the field of thoracic and abdominal activity tumor radiotherapy is facilitated.

The invention discloses an improved RRT path planning method for robot-assisted puncture based on SAC guided sampling, and the method comprises the steps: carrying out the reconstruction of a human chest and abdomen actual physiological structure three-dimensional model based on a CT image, and obtaining the human chest and abdomen actual physiological structure three-dimensional model as an obstacle for subsequent path planning; establishing a reinforcement learning environment based on the obstacle, including setting a state space, an action space and a reward function; in a reinforcement learning environment, based on obstacles, adopting an SAC algorithm to carry out SAC guide sampling model training of flexible needle path planning; adjusting and optimizing target parameters of the SAC guide sampling model based on obstacles; and sampling in the improved RRT path planning based on a mixed sampling strategy by using the parameter-optimized SAC guide sampling model to obtain a feasible path. Through a mixed sampling strategy, balance is obtained between the global search capability of uniform sampling and the local optimization capability of non-uniform guide sampling, so that the adaptability and planning efficiency of the algorithm in a complex scene are improved.

The invention discloses an intelligent critical case early warning analysis system based on multi-source clinical data fusion, belongs to the technical field of image processing, and can more accurately carry out respiration monitoring and early warning. Comprising a respiratory movement analysis module used for generating a respiratory movement amplitude change curve according to thoracic and abdominal movement video data; the breathing machine waveform analysis module is used for generating waveform characteristic data containing abnormal time slices according to the breathing machine waveform data; the blood oxygen signal processing module is used for generating a blood oxygen change trend vector according to the blood oxygen saturation degree signal data; the multi-modal fusion module is used for generating a multi-dimensional physiological feature vector under a synchronous timestamp according to the breathing movement amplitude change curve, the waveform feature data and the blood oxygen change trend vector; the risk assessment module is used for generating a breathing compensation state score according to the multi-dimensional physiological feature vector; and the alarm triggering module is used for triggering a grading alarm signal according to the deviation degree of the breathing compensation state score and the baseline range.

The invention belongs to the technical field of postoperative incision protection, and particularly relates to a surgical incision protection device for thoracic surgery patients, which comprises a back plate assembly, a thoracic-abdominal assembly is arranged on the back plate assembly, one end of the thoracic-abdominal assembly is connected with a belt retracting device, a waist support plate is arranged on the lower side of the back plate assembly, and a first fixing belt is arranged on the waist support plate. According to the chest and abdomen assembly, through cooperation of the belt collecting device and the isolation protection device, the belt collecting device can adjust the tension of the chest and abdomen assembly in real time based on a tension sensor, and a buffering air bag and elastic spokes of the isolation protection device synchronously buffer impact; a tension adjusting-buffering protection dual-protection system is formed, the chest and abdomen traction force generated when the patient moves or bends down can be accurately counteracted, and the incision is prevented from being torn due to traction.

A rescue vest for deepwater operators comprises a first partition and a second partition which are located in front of the left chest and the right chest respectively, a third partition located on the abdomen, a fourth partition surrounding the neck, a fifth partition located on the back shoulder, and a sixth partition and a seventh partition which are located on the side chest and the abdomen respectively, and each partition is internally provided with a heat production and oxygen production unit; the heat and oxygen production unit comprises a closed cavity, a first reaction cavity and a second reaction cavity are arranged in the closed cavity, and inner cavities of the first reaction cavity and the second reaction cavity are sealed by isolation films; and a vacuum reaction cavity is arranged in the closed cavity outside the first reaction cavity and the second reaction cavity. The device can simultaneously play roles of heat preservation, oxygen supply, floating and the like, and the generated gas is only oxygen, so that the device plays a huge role in closed environment and underwater operation, and solves the problem of lifesaving of deepwater operating personnel under the condition that the deepwater parking temperature of a submersible and an oxygen system disappear.

The invention discloses a vital sign monitoring system based on a WiFi signal, which comprises two WiFi CSI data acquisition platforms, a transmitting end platform and a receiving end platform, the transmitting end platform and the receiving end platform are respectively connected with a transmitting end antenna and a receiving end antenna through radio frequency lines, the transmitting end antenna and the receiving end antenna are directional antennas, and the transmitting end antenna and the receiving end antenna are both directional antennas. The beam of the directional antenna points to the chest and abdomen of the human body, the height of the directional antenna is flush with the chest position of the human body, and wave-absorbing materials are arranged on the sight distance paths of the transmitting end antenna and the receiving end antenna. According to the invention, vital signs can be reliably extracted, and separation of breathing and heartbeat signals can be realized. The invention further discloses a vital sign monitoring method based on the WiFi signal.

The invention discloses a neonatal kangaroo type nursing method, which relates to the technical field of neonatal nursing, and comprises the following steps: S1, guiding a nurse to lean against the neonatal kangaroo at an inclination angle of 60-90 degrees, and putting a back cushion on the back to keep the posture stable; s2, executing baby meeting and skin attaching operation, so that maximum-area skin direct contact between the newborn and the nurse is realized; s3, placing the newborn on the chest and abdomen of the caregiver in a vertical prone posture, and enabling the head of the newborn to turn to one side so as to keep the respiratory tract unobstructed; by constructing a parameterized and standardized nursing process, the safety and operability of neonate kangaroo type nursing are remarkably improved, a nurse stably leans obliquely at a scientific angle of 60-90 degrees, and in combination with the infant body position of vertical lying prone-head side turning, the smoothness of the respiratory tract is fundamentally guaranteed, the asphyxia risk is greatly reduced, and the nursing effect is improved. The whole action process is clear, and the technique is clear.

The invention relates to the technical field of medical simulation devices, in particular to an artificial intelligence driven thoracic and abdominal movement simulation die body which comprises internal soft tissue equivalent to a human tissue CT value, the simulation die body can simulate movement of the heart, the lung, the liver, the intestinal tract and the tumor at the same time, surface movement simulation of the die body is considered, and the simulation effect is good. Simulation movement is achieved through multiple maneuvering modes, and movement of thoracic and abdominal organs, tumors and body surfaces is restored to the maximum extent. The model body is made of a simulation material equivalent to a human tissue CT value, it is ensured that the physical property of the model body is similar to that of the human tissue, the simulation authenticity is improved, and organ movement control modes including fixed frequency input, collected patient frequency input and movement frequency predicted through an artificial intelligence algorithm are flexible and diversified. And guarantee is provided for dosimetry verification by shooting 4D CT and position error verification by means of a body surface optical positioning system.

The invention provides a chest and abdomen compression device, a compression system based on big data and a control method, which are used for assisting a doctor in compressing the chest or abdomen of a respiratory suppression patient, and the chest and abdomen compression device comprises a power supply device, a shell, a reciprocating motion mechanism, a compression block, a microprocessor and a driving device, the reciprocating motion mechanism comprises a first gear disc, a transmission rod, a sliding block and a sliding block channel, an outer gear is arranged on the outer edge of the first gear disc and meshed with the driving gear, a disc protruding shaft is arranged on one face of the first gear disc, and a transmission chain of reciprocating motion force comprises the driving gear, the first gear disc, the disc protruding shaft, the transmission rod, the sliding block and a pressing block. Finally, the sliding block and the pressing block are driven to reciprocate, diaphragm movement is stimulated, and the occurrence rate of hypoxemia of intravenous anesthesia patients is reduced. The vital signs of the patient can be monitored and analyzed in real time through the sign monitoring module, and whether the patient is subjected to respiratory suppression or not and whether pressing needs to be started and executed or not is automatically judged.

The utility model discloses adjustable chest and abdomen core muscle group fitness equipment which comprises an adjusting box, a screw rod is rotationally connected between the left side and the right side of an inner cavity of the adjusting box through a bearing, and one end of the screw rod penetrates through the adjusting box and is fixedly connected with a rotating handle. By arranging the adjusting box, the screw rod, the rotating handle, the rectangular plate, the driving plate, the limiting plate, the L-shaped plate, the positioning plate and the grip, the chest and abdomen core muscle group of a body builder can be exercised, meanwhile, by arranging the limiting plate, the moving distance of the L-shaped plate can be limited, the exercise intensity of the chest and abdomen core muscle group can be adjusted, and the exercise effect of the chest and abdomen core muscle group is improved. According to the chest and abdomen core muscle group fitness equipment, by arranging a spring, a buffer plate, a supporting rod and a limiting disc, the L-shaped plate can be buffered and protected when making contact with the limiting plate, by arranging the structure, the chest and abdomen core muscle group fitness equipment has the advantage that the chest and abdomen core muscle group fitness equipment has the adjusting function when used, and therefore the use requirements of exercisers can be met.

The utility model discloses a prone position bolster for a lying side after a spinal operation. A prone position bolster on the side lying in bed after a spinal operation comprises a leg bolster body capable of raising legs of a patient and a head and neck cushion body capable of supporting the head and the neck of the patient, a head supporting groove and a neck supporting groove are formed in the head and neck cushion body, ear pressure preventing holes are formed in the bottom of the head supporting groove, and ear pressure preventing holes are formed in the neck of the head supporting groove. A first connecting belt is arranged on the front side of the head and neck cushion, the front end of the first connecting belt is connected with a lateral prone position pillow capable of raising the chest and abdomen of a patient, an open groove is formed in the position, corresponding to the chest of the patient, of the lateral prone position pillow, and a chest pillow is detachably arranged in the open groove. The lateral prone position support can help a patient to keep a lateral prone position posture, and is beneficial to improving the comfort of the patient.

The invention relates to the technical field of first-aid devices, and discloses a child Helicke first-aid device which comprises a base, a first-aid device body and a second-aid device body. The back patting assembly is arranged on the vertical frame and constructed to be adjusted in a lifting mode along the vertical frame, and the back patting assembly comprises a driving assembly and a patting plate; the extrusion assembly is connected with the vertical frame through an arc-shaped arm, the arc-shaped arm is adjusted to ascend and descend on the vertical frame, the extrusion assembly comprises a force application part and an action part, the action part is fixed to the position, facing the thorax and abdomen of the patient, of the arc-shaped arm, and the force application part drives the action part to extrude the thorax and abdomen of the patient in a reciprocating mode. The technical scheme has the beneficial effects that the chest and abdomen of a patient can be extruded through the back patting assembly and the extruding assembly, and the back of the patient is patted. And the method is more in line with a new Hemricker first-aid operation guide. And the arc-shaped arm is adjusted to lift so as to adapt to people with different lifts, operation is easy and convenient, and more people can operate and use the device.

The invention relates to the field of respiratory monitoring, in particular to a respiratory segment positioning method and device under voice instruction guidance, equipment and a medium. A radar non-contact detection technology is adopted, a test signal is generated by capturing thoracic and abdominal respiratory movement, contact type air blowing operation is not needed, dependence on contact type acquisition equipment is abandoned, and the problem that the operation threshold is high is solved; secondly, testing actions are guided through voice instructions instead of guidance of professional medical staff, and the requirement for operation speciality is lowered through standardized instructions; then, the radar is flexible to install and adapts to various postures, and the limitation of professional medical scenes is broken through; and finally, automatically extracting the breathing segment and calculating the breathing index of the measured object without complicated manual intervention, thereby simplifying the process and reducing the equipment and use cost.

This application discloses a method and apparatus for acquiring human feature data. The method includes: using an ultra-wideband (UWB) radar array, the acquisition device performs real-time identification of a target human body within a signal-detectable area, and determines a three-dimensional upper body model for the identified target human body; based on the three-dimensional upper body model, the chest and abdomen region of the target human body is determined, and the chest and abdomen region is detected; based on the set of data points obtained from the detection, a contour model of the chest and abdomen region and monitoring control points in the contour model are determined; the monitoring control points include respiratory monitoring control points and / or heart rate monitoring control points; using the UWB radar array, the chest and abdomen region is detected in real time, and based on the coordinate changes of the detected monitoring control points, the respiratory rate and / or heart rate of the target human body are determined. Using this application can improve the comfort of the user being tested during human feature data acquisition.

The utility model relates to the technical field of medical treatment, and discloses an infant bedside radiography embracing type restraining device which comprises a restraining base used for covering the chest and the abdomen, limiting blocks used for limiting the waist are symmetrically distributed at the two ends of the lower side face of the restraining base, and the restraining base and the limiting blocks are of an integrated structure and are made of flexible materials. A first counterweight piece is arranged in the limiting block; restraining assemblies used for limiting hands and feet are arranged at the four corners of the restraining base and connected with the restraining base through flexible belts. The infant body positioning device has the advantages that the infant body can be positioned in an auxiliary mode, and the radiography quality is improved.

The application discloses a chest and abdominal cavity complex deformation full view reconstruction and respiration detection system and method, relates to the technical field of human deformation measurement, and comprises a binocular vision acquisition device, the binocular vision acquisition device is connected with a computer through a connecting line and carries out data transmission, an image processing module, a displacement and strain calculation module, a respiration parameter extraction module and a remote data interaction module are arranged on the computer; the binocular vision acquisition device is arranged on the front sides of the chest and abdomen of a user, and the user wears an elastic fabric speckle shirt on the upper body. The chest and abdominal cavity complex deformation full view reconstruction and respiration detection system and method have the advantages of non-contact, high precision and full cycle, and are suitable for various scenes such as clinical diagnosis, postoperative rehabilitation, home monitoring and vocal music training.

Presented herein is an imaging technique named nonstop gated cone-beam computer tomograph (CBCT), for guiding free-breathing respiratory gating radiotherapy of thoracic and abdominal cancer patients (e.g., lung, liver, pancreas). The nonstop gated CBCT technique reduces the data acquisition time to 1 minute and decreases the imaging dose by >40% while simultaneously retaining high quality images was developed. This is done by allowing the gantry to rotate continuously and having the kV x-ray beam on when the patient breathing signal is within the respiratory gate and the x-ray beam off when it is out of the respiratory gate. A machine learning model can be used to reconstruct high-quality CBCT images from the acquired data.

This application discloses a wound protection device, medical auxiliary system, and control method for the chest and abdomen. The isolation and protection device includes an outer restraint cover, an air supply layer, and an expansion and contraction layer. The expansion and contraction layer contains independently distributed airbags, each containing a first substrate and a locking mechanism including interference and transmission components. Under air pressure, the first substrate undergoes axial displacement, which is converted into the radial extension of the interference components. When one of the adjacent airbags is evacuated while the other is inflated or under slight negative pressure, the displacement of the first substrate drives the sidewall to bulge outward by a distance greater than a preset gap, thereby locking itself into the internal structure of the adjacent airbags. This application effectively solves the problem that existing chest and abdominal protective dressings are prone to wound tearing under external pressure by using cross-gap mechanical phase change linkage between the substrate and components inside the airbag based on different suction negative pressures. While being compatible with external high-frequency oscillation physiotherapy interventions, it precisely constructs a stable wound suspension isolation and protection zone.

The invention relates to a lateral prone position fixing and vibration sputum excretion integrated device which is arranged on a nursing bed and comprises an auxiliary sputum excretion device and a lateral prone position supporting device, and the auxiliary sputum excretion device comprises a flexible pad and a vibration device; the two lateral prone position supporting devices are arranged on the left side and the right side of the auxiliary sputum excretion device respectively. The lateral prone position supporting device comprises a supporting air bag device connected with the flexible cushion into a whole, the supporting air bag device can be switched between an inflated state and an uninflated state, and the edge of the supporting air bag device can be fixed relative to the nursing bed through a bandage mechanism. It is ensured that a patient keeps a stable side prone position in the sputum excretion process, sputum excretion interruption is avoided, the sputum excretion efficiency is remarkably improved, inflation and deflation of the supporting air bag device are easy and convenient to operate and accurate in regulation and control, the supporting air bag device can be rapidly adjusted to a proper prone angle according to the body type of the patient and treatment requirements, precise thoracic and abdominal supporting is achieved, and the patient can conveniently and rapidly lie on the side. The pressure distribution of each part of the body of the patient is uniform, and the risk of pressure injury of the patient is reduced.

The invention discloses an erect position X-ray pneumoperitoneum feature detection method based on deep learning, and is applied to the technical field of pneumoperitoneum detection. Comprising the following steps: collecting standing X-ray pneumoperitoneum case images, and classifying and labeling the images with pneumoperitoneum features; an end-to-end training process is adopted to train a multi-pneumoperitoneum feature detection model based on YOLOv11; obtaining to-be-detected upright chest and abdomen X-ray plain film images, and preprocessing the upright chest and abdomen X-ray plain film images; and inputting the preprocessed image into a multi-pneumoperitoneum feature detection model, and outputting a pneumoperitoneum feature detection result. According to the method, the pneumoperitoneum sign on the vertical X-ray film is detected, missed diagnosis caused by subjective and objective factors such as insufficient experience or insufficient energy and various work of imaging department doctors or clinical doctors is reduced, the suspected pneumoperitoneum sign can be positioned, and review of the imaging department doctors or the clinical doctors is facilitated.

The invention discloses a wearable flexible optical waveguide array sensing system and method, and belongs to the technical field of respiratory monitoring. A wearable flexible optical waveguide array sensing system comprises a flexible optical waveguide array sensing module attached to the thoracic and abdominal surface of a user, and further comprises a signal acquisition and processing circuit electrically connected with a signal and power supply interface of the flexible optical waveguide array sensing module; the flexible optical waveguide array sensing module comprises two oppositely arranged flexible circuit boards and a flexible optical medium layer arranged between the two flexible circuit boards, and the flexible circuit board on each side is provided with a plurality of optical sensing units arranged in an array; the flexible printed circuit board multi-layer packaging design is adopted, the device can be directly attached to the thoracic and abdominal surface to be worn for a long time without affecting the natural rhythm of respiration, the system integration degree is high, the size is small, power consumption is low, the device has the advantages of being high in precision, resistant to electromagnetic interference, high in real-time performance and the like, and the device is suitable for being used as a real-time sensing module in respiration rehabilitation training and exoskeleton control.

The utility model relates to a pet life jacket which comprises a back part and two chest and abdomen parts integrally connected to the left side and the right side of the back part, the two chest and abdomen parts are configured to be capable of being folded downwards to surround the body of a pet together with the back part, and at least one gap is formed in the rear end of the back part. The breach extends from front to back to the rear end edge of the back portion. The split is arranged at the rear end of the back part and enables the edge of the rear end of the back part to be disconnected in the direction of surrounding the body of the pet, so that stress concentration at the rear end of the back part is weakened when the first thoracoabdominal part and the second thoracoabdominal part are bent downwards, and after the first thoracoabdominal part and the second thoracoabdominal part are folded, the first thoracoabdominal part and the second thoracoabdominal part are folded. The rear end of the back part does not tilt too much, but is more close-fitting.

This invention discloses an improved RRT path planning method for robot-assisted puncture based on SAC-guided sampling, comprising: reconstructing a three-dimensional model of the actual physiological structure of the human chest and abdomen based on CT images to obtain the three-dimensional model of the actual physiological structure of the human chest and abdomen as obstacles for subsequent path planning; establishing a reinforcement learning environment based on the obstacles, including setting a state space, action space, and reward function; training a SAC-guided sampling model for flexible needle path planning based on the obstacles using the SAC algorithm in the reinforcement learning environment; optimizing the target parameters of the SAC-guided sampling model based on the obstacles; and using the parameter-optimized SAC-guided sampling model to sample in the improved RRT path planning based on a hybrid sampling strategy to obtain feasible paths. By using a hybrid sampling strategy, a balance is achieved between the global search capability of uniform sampling and the local optimization capability of non-uniform guided sampling, thereby improving the adaptability and planning efficiency of the algorithm in complex scenarios.

The utility model discloses thermal clothes for an operation, and relates to the technical field of medical instruments. The thermal garment for the operation comprises a main body and a heating assembly, the main body is provided with a first covering part, a second covering part and two third covering parts, the first covering part covers the thoracic and abdominal part of a patient, the second covering part is erected on the shoulder of the patient, and the two third covering parts are arranged on the corresponding arms of the patient in a surrounding mode respectively; the heating assembly is arranged on the main body, the heating assembly comprises a heating piece, and the heating piece forms heating areas on the first covering part, the second covering part and the third covering part respectively; according to the heat preservation clothes for the operation, when the patient is subjected to the lower limb operation, the upper half body of the patient is covered with the main body, the upper half body of the patient is continuously heated through the heating assembly, good heat preservation is conveniently provided for the upper limbs of the patient, it is guaranteed that the physical condition of the patient is kept normal, and the operation can be smoothly carried out conveniently.

The invention provides a method and device for determining animal heart rate and respiration information, and the method comprises the steps: obtaining the body type and posture of an identified target animal, the body type and posture of the target animal being identified based on a millimeter wave signal corresponding to the target animal; based on the body type and posture of the target animal, performing filtering processing on each frame of millimeter wave signal which is continuously collected to obtain a millimeter wave signal after filtering processing; detecting and tracking a thoracic and abdominal region of the target animal based on the filtered millimeter wave signal; based on the tracked thoracic and abdominal region of the target animal, extracting physiological signal features of the target animal from the filtered millimeter wave signals by adopting a physiological signal feature extraction mode corresponding to the posture of the target animal, the physiological signal characteristics comprise a periodic amplitude change signal corresponding to respiration and a periodic amplitude change signal corresponding to heart rate; and determining the heart rate and the respiratory rate of the target animal based on the physiological signal characteristics of the target animal.

The application provides a method and system for promoting diaphragm recovery by abdominal compression based on respiratory depression recognition, relates to the technical field of respiratory function rehabilitation, and comprises the following steps: acquiring chest and abdominal movement signals and respiratory airflow signals, calculating respiratory state representation parameters to determine respiratory depression, calculating pressure conduction efficiency of a compression point based on the chest and abdominal movement signals and establishing a pressure superposition constraint relationship, generating force coordination control parameters and periodic compression control instructions, and driving a compression device to apply mechanical stress and realize real-time optimization. The method can accurately identify the respiratory depression state, accurately control and adaptively optimize the compression force, and effectively promote diaphragm function recovery.