45 results about "Abdominal respiration" patented technology

The invention provides a tumor target pose real-time tracking and predicting method and system, equipment and a medium. An abdominal respiration monitoring device of the system is used for detecting abdominal respiration deformation; the multi-channel array flexible acquisition sensor has deformability and is used for detecting back myoelectricity and pressure change signals; the body surface information acquisition device is used for acquiring chest and abdomen point cloud data of a human body; and the main controller is used for processing data acquired by the abdominal respiration monitoring device, the multi-channel array flexible acquisition sensor and the body surface information acquisition device to obtain a predicted position of an active tumor target region. In order to solve the problem of respiratory movement in the radiotherapy process, back pressure myoelectricity information, abdomen respiratory deformation information and binocular vision information respiratory movement evaluation are adopted, and a mapping relation from in-vitro movement to in-vivo tumor movement is constructed through in-vitro multi-modal data and 4D-CT information in combination with a big data model. And in-vivo tumor pose prediction and evaluation are realized.

The invention relates to the technical field of intelligent medical rehabilitation, in particular to an abdominal respiration training method and system based on an intelligent guiding algorithm. The continuous real-time breathing data sequence contains at least one of a breathing frequency periodic change characteristic, a breathing amplitude dynamic change characteristic and a breathing phase accurate definition characteristic which change along with time; comprehensively evaluating the continuous real-time breathing data sequence according to a statistical analysis algorithm based on dynamic threshold setting and multi-dimensional feature fusion to obtain a comprehensive breathing health index for evaluating the breathing state of the user; according to the comprehensive respiratory health index, based on inference rules in a knowledge base, a customized respiratory training plan is generated through an intelligent decision engine combining a deep learning algorithm and a biological feedback mechanism. By implementing the method, potential information in the respiration data can be deeply mined, so that a more scientific and personalized respiration training plan is generated.

The invention discloses a fatigue state detection method, system and device and a storage medium, and relates to the technical field of fatigue state detection.The method comprises the steps that an electroencephalogram signal, an electrocardiosignal, a respiration electric signal, an abdominal respiration curve, respiration amplitude and an eye movement image of a user are collected; determining an electroencephalogram fatigue index, an electrocardio fatigue index, a respiratory fatigue index and an eye movement fatigue index of the user; taking the electroencephalogram fatigue index, the electrocardio fatigue index, the respiratory fatigue index and the eye movement fatigue index as evidences, and calculating basic probability assignment (BPA) of the evidences corresponding to different fatigue degrees of the user; the D-S evidence theory is used for conducting decision-level fusion on the electroencephalogram evidence BPA, the electrocardiogram evidence BPA, the respiration evidence BPA and the eye movement evidence BPA, the comprehensive fatigue index of the user is calculated, and therefore the fatigue state of the user is detected; according to the method, the dependence of a single physiological signal is reduced, and the detection accuracy of the fatigue state of the pilot is improved.

The invention relates to a wearable music diaphragm pacemaker and a use method thereof, and belongs to the technical field of medical rehabilitation equipment, the wearable music diaphragm pacemaker comprises a diaphragm pacemaker host, an electrical stimulation module, a respiration monitoring module and a wearable bag, the diaphragm pacemaker host is connected with the electrical stimulation module and the respiration monitoring module through wires, the electrical stimulation module adopts an electrode patch, and the wearable bag is connected with the electrical stimulation module. The respiration monitoring module is used for applying adjustable electric pulses to phrenic nerves or diaphragm muscles, and is provided with a piezoelectric pressure sensor for collecting thoracico-abdominal respiration movement signals in real time. In the invention, compared with a traditional diaphragm pacemaker which mainly depends on electrical stimulation to passively enhance diaphragm contraction and a patient needs to actively cooperate with respiratory training, through real-time matching of rhythm and tone changes of megawatt music and electrical stimulation parameters, such as inspiratory phase tone rising and expiratory phase rhythm slowing, multi-sensory synergistic stimulation is formed; perceiving and active cooperation of the patient on the respiratory rhythm are enhanced, and therefore the rehabilitation effect can be effectively improved.

The invention provides a respiratory training method for rapid recovery of lung functions after general thoracic surgery, and belongs to the technical field of medical rehabilitation, the respiratory training method for rapid recovery of lung functions after general thoracic surgery comprises the following steps: performing preoperative evaluation, measuring parameters such as vital capacity, making a personalized training plan in combination with age, basic diseases and operation types, and establishing a personalized training plan for rapid recovery of lung functions after general thoracic surgery; the method is divided into an early stage, a middle stage and a later stage, and abdominal respiration and lip contraction respiration training is carried out in the early stage; in the middle stage, deep respiration and excitation type spirometer training are increased; resistance breathing and breathing exercise training is conducted in the later stage, parameters such as breathing frequency and subjective feeling of patients are closely monitored in the training, the training intensity and method are adjusted according to conditions, accurate training can be conducted according to individual differences of the patients, the lung function rehabilitation efficiency is effectively improved, complications are reduced, and the life quality of the patients is improved. The device is suitable for general thoracic surgery postoperative patients.

The invention discloses a respiration guiding device used in a liver cancer three-dimensional conformal radiotherapy process, and relates to the technical field of respiration guiding, the respiration guiding device comprises an abdominal respiration detection device and an alarm device, the abdominal respiration detection device is composed of a mounting base cloth and a plurality of film pressure sensors, and the film pressure sensors are all mounted in the mounting base cloth; four elastic lacing belts are symmetrically installed on the abdominal respiration detection device, two pieces of installation connecting cloth are installed on the four elastic lacing belts, and the respiration guiding device is composed of the abdominal respiration detection device, the elastic lacing belts, the installation connecting cloth, a first fixing assembly, a second fixing assembly, alarm equipment and a soft elastic sleeve. According to the three-dimensional radiotherapy device, the patient can be prompted to reduce abdominal activity and carry out thoracic respiration, so that the three-dimensional radiotherapy is promoted to irradiate a target focus more effectively, the damage of radiotherapy to surrounding normal tissues is reduced, and the incidence rate of radiation hepatitis, radiation pneumonitis and radiation cholecystitis is reduced.

The application provides a tumor target area pose real-time tracking and prediction method and system, equipment and a medium. The abdominal respiration monitoring device of the system is used for detecting abdominal respiration deformation. The multi-channel array flexible acquisition sensor has deformability and is used for detecting back muscle electric signals and pressure change signals. The body surface information acquisition device is used for acquiring human chest and abdomen point cloud data. The main controller is used for processing data collected by the abdominal respiration monitoring device, the multi-channel array flexible acquisition sensor and the body surface information acquisition device, and obtaining a predicted position of a moving tumor target area. The application adopts back pressure muscle electric information and abdominal respiration deformation information and binocular vision information respiration movement evaluation, constructs a mapping relationship from external movement to internal tumor movement through external multi-mode data and 4D-CT information, combines a big data model, and realizes internal tumor pose prediction and evaluation.

The invention provides a pig state identification method and device based on image acquisition and a storage medium. The recognition method comprises the steps that multiple pieces of first video data of a pig are obtained, and the first video data comprise video data in at least one of the four states of tachypnea, cough, asthma and abdominal respiration; using an OpenPose attitude recognition algorithm to obtain all frames in the first video data segment, and outputting at least six articulation points, including a lower jaw, an upper jaw, a head, shoulders, a back and a hip, of pig bones of all the frames; first relative positions and first change information of at least six joint points of pig bones of all frames are obtained, big data training is carried out after corresponding labeling is carried out, and labeling refers to labeling according to four states of tachypnea, cough, asthma and abdominal respiration; outputting a pig-based image recognition model; and according to the image identification model, carrying out state identification on the pigs in different fences.

The present application relates to the technical field of image restoration, and particularly relates to a system for eliminating respiratory artifacts in abdominal magnetic resonance, which can realize the following steps through mutual cooperation between multiple modules: obtaining an image to be de-artifacted, and screening out suspected artifact regions from the image to be de-artifacted; determining artifact performance characteristic values corresponding to the suspected artifact regions according to gradient distribution and grayscale distribution in the suspected artifact regions and the shape of each suspected artifact region; screening out target artifact regions, and determining initial blurring angles and initial blurring sizes corresponding to each target artifact region; correcting the initial blurring angles and the initial blurring sizes corresponding to each target artifact region; and de-artifacting the target artifact regions according to a blurring kernel of the target blurring angles and the target blurring sizes, thereby realizing de-artifacting of the image to be de-artifacted, and improving the accuracy of artifact region identification and the rationality of de-artifacting.

FIELD: cardiology.SUBSTANCE: used as a component of the first stage of cardiac rehabilitation in patients with chronic heart failure (CHF), as well as an auxiliary component at all stages of cardiac rehabilitation. Warm-up exercises are performed – stretching exercises and movements in the joints of the upper body, followed by a basic set of breathing exercises lasting from 15 to 30 minutes, at least once a day, at least 5 days a week, for at least 8 weeks. At the first stage, the main set of exercises includes four exercises performed in sequence: abdominal breathing, chest breathing, breathing involving the shoulder muscles, breathing slowing. The first three exercises are performed for 5–10 breathing cycles with an interval between exercises of at least 1 minute, the fourth exercise contains 5–15 cycles, where each cycle includes an inhalation through the first nostril, followed by an exhalation and inhalation through the second nostril, then an exhalation through the first nostril . In the second and subsequent stages, the main set of exercises includes two exercises performed sequentially: an exercise for full breathing and an exercise for slowing down breathing. The full breathing exercise involves sequentially performing abdominal breathing, chest breathing, and breathing with the involvement of the shoulder muscles throughout one inhalation. The exhalation is performed in reverse order. The number of cycles of the full breathing exercise at the second stage is 15–20. The duration of each stage is at least 2 weeks, where at each subsequent stage, starting from the second one, the duration of the exercises performed in the main complex is increased by increasing the number of exercise cycles. Also the duration of inhalation and exhalation is increased when performing exercises to slow down breathing. The method improves the biomechanics of breathing: increases the depth of breathing, reduces the frequency of respiratory movements, increases the efficiency of breathing and reduces the activity of the inspiratory metaboreflex.EFFECT: exercise tolerance in patients with CHF improves.3 cl, 6 dwg, 3 ex

The utility model discloses intelligent respiratory muscle rehabilitation training equipment. The device comprises a device box body, a breathing garment, an air bag, an inflation catheter, an electrode plate and a finger stall, a power switch, an inflation tube jack, a display screen, a signal jack, a power jack and a ventilation opening are arranged outside the host case, a heart rate photoelectric sensor is arranged in the heart rate signal electrode slice, an impedance sensor is arranged in the respiration signal electrode slice, and a photoelectric receptor and a light-emitting diode are arranged in the finger stall; an electric air pump, a microcontroller box, a battery, a battery management system, a built-in electric wire and a built-in gas transmission pipe are arranged in the main machine case, the upper portion of the breathing clothes is chest breathing clothes, the lower portion of the breathing clothes is abdomen breathing clothes, and a chest air bag and an abdomen air bag are arranged in the chest breathing clothes and the abdomen breathing clothes respectively. The chest breathing clothes and the abdomen breathing clothes are connected through an elastic band. The respiratory muscle rehabilitation training device is used for respiratory muscle rehabilitation training, respiratory muscle group training can be controlled in a segmented mode, and comprehensive rehabilitation training of respiratory muscle groups is achieved.

The present invention provides a device and system for evaluating the cause of dyspnea based on real-time monitoring of chest and abdominal respiratory movements, and belongs to the field of computer technology. The device includes: a respiratory index calculation module, which is used to calculate the respiratory index, the thoracic volume in a quiet state, and the tidal volume based on the chest respiratory digital signal and the abdominal respiratory digital signal; wherein the respiratory index includes: chest respiratory amplitude sequence, abdominal respiratory amplitude sequence, average inhalation time, average exhalation time, the inhalation-exhalation ratio of each breath, the respiratory cycle, and the chest-abdominal breathing ratio; a cause evaluation module, which is used to obtain the evaluation result of the cause of dyspnea according to the respiratory index, the thoracic volume in a quiet state, and the tidal volume. The present invention can evaluate the cause of dyspnea.

According to the body surface breathing movement simulation device and the target spot monitoring system based on binocular vision, the body surface breathing movement simulation device is simple in structure, the thoracico-abdominal body surface is simply divided into four blocks, and abdominal respiration of the human body and movement of the thoracico-abdominal body surface during the thoracico-respiration are simulated by controlling reciprocating movement of the four thoracico-abdominal body surface simulation plates. According to the device, rigid components are used, the lead screw stepping motor is used for directly driving the thoracico-abdominal body surface simulation board to move, higher repeatability is achieved, the motion precision is high, the motion control capacity is better, control is easier, and the cost of the whole system is low. The monitoring system can measure the distance of a placed body surface target spot in real time and draw a real-time displacement curve of the target spot, the system can monitor the motion state of a body surface breathing motion simulation device after the body surface breathing motion simulation device is combined with the system, and codes in a driving plate can be changed to correct the motion of a thoracico-abdominal body surface simulation plate if the requirements are not met, so that the operation is convenient. Therefore, the reliability of the body surface breathing movement simulation device is improved.

The invention provides a thoracic surgery postoperative respiratory function rehabilitation training monitoring method and system based on the Internet of Things, and relates to the technical field of the Internet of Things. Using a multi-feature matching algorithm to generate abdominal respiration rehabilitation training guidance and lip contraction respiration rehabilitation training guidance; the method comprises the following steps: collecting training respiratory physiological data of a thoracic surgery postoperative patient in a respiratory function rehabilitation training process under abdominal respiration rehabilitation training guidance and lip contraction respiratory rehabilitation training guidance, and calculating a respiratory amplitude; when the breathing amplitude is lower than the preset postoperative rehabilitation standard breathing amplitude, intervention feedback data are obtained; performing correlation analysis on the abdominal respiration rehabilitation training guidance, the lip contraction respiration rehabilitation training guidance, the verified training respiration physiological data and the intervention feedback data to obtain a correlation analysis result; based on the result, the training progress file of the patient after the thoracic surgery is updated, and intelligent management of respiratory function rehabilitation training of the patient is achieved.

The utility model discloses an anorectal postoperative prone position pad, which relates to the technical field of anorectal postoperative auxiliary devices, and comprises an A-shaped pad body, the top of the A-shaped pad body is respectively provided with an upper body supporting part and a lower body supporting part, and the top of the A-shaped pad body is provided with an abdomen hollow opening positioned between the upper body supporting part and the lower body supporting part; a catheter patch is arranged between the belly hollow opening and the lower body supporting part, and an inflation connector is arranged on the surface of the A-shaped cushion body. By arranging the upper body supporting part and the belly hollowed-out opening, the pelvic cavity and the belly of a patient cannot be suspended when the patient lies prostrate, the risk caused by pressure sores is reduced, abdominal respiration is facilitated through the effect of the belly hollowed-out opening, and the pain feeling is reduced; the A-shaped cushion body is inflatable, so that limb edema is reduced; and finally, the catheter patch is utilized to facilitate catheterization fixation and urination.

The application discloses a thoracico-abdominal motion respiration flow monitoring method and device, and relates to the field of respiration monitoring. The method comprises the following steps: acquiring a pressure value of a patient pressure monitoring point; the pressure monitoring point comprises a thoracic pressure monitoring point and an abdominal pressure monitoring point; performing data analysis according to the pressure value to determine a displacement change amount of the pressure monitoring point relative to an initial spatial coordinate; performing nonlinear fitting according to the displacement change amount to determine a thoracic volume change amount and an abdominal volume change amount; determining a respiration parameter according to the thoracic volume change amount and the abdominal volume change amount; the respiration parameter comprises a total lung ventilation, a thoracic respiration contribution ratio, an abdominal respiration contribution ratio and a thoraco-abdominal phase difference. The application realizes low-cost and high-precision respiration flow monitoring.

The invention relates to the technical field of medical management, in particular to a COPD patient intelligent respiration monitoring system which comprises a chest belt, an abdominal belt, a bracelet, a respiration monitoring module, an environment monitoring module and a treatment monitoring module. A triaxial piezoresistive strain sensor, a first timer and a first microphone are mounted on the chest strap; a capacitive pressure sensor, a second timer and a second microphone are mounted on the bellyband; the respiration supervision module is used for respectively collecting chest respiration data, abdominal respiration data and blood data of a patient by using a chest belt, an abdominal belt and a bracelet; the evaluation module evaluates the condition of the patient according to the chest respiration data of the patient; evaluating the abdominal respiration function of the patient according to the abdominal respiration data of the patient, and assisting in evaluating the illness state of the patient based on the abdominal respiration function of the patient; the method is complete in logic, and the comprehensiveness and accuracy of data monitoring can be effectively improved.

This utility model relates to the field of toy pet technology, and more particularly to an abdominal breathing structure for a toy pet, comprising a shell, a first swing member, a second swing member, and a drive module. The shell has an internal cavity with an opening. Both the first and second swing members are rotatably disposed within the cavity and extend or retract through the opening to simulate the rising and falling motion of a toy pet's abdomen during breathing. A first swing drive structure is provided between the first swing member and the drive module; a second swing drive structure is provided between the first and second swing members. This utility model, through a single drive module and utilizing the first and second swing drive structures, simultaneously drives the first and second swing members to rotate and extend or retract through the opening, simulating the rising and falling motion of a toy pet's abdomen during breathing. This achieves the effects of reducing drive devices, simplifying the structure, lowering costs, and efficiently simulating abdominal breathing.

The present application proposes a chest and abdominal respiration signal decoupling and reconstruction method based on millimeter wave radar. Using a millimeter wave multiple-input multiple-output radar device, the radar echo is first mapped to a three-dimensional space using 3D beamforming technology, mapping the one-dimensional time domain signal to a spatial energy heat map containing distance, azimuth, and elevation three-dimensional information. Then, through spatial filtering strategy, the physiological vibration source signal clusters of the subjects with coupling relationship are separated. When the physiological vibration source includes the chest reflection area of the first anatomical site and the abdominal reflection area of the second anatomical site, combined with the adaptive best point selection algorithm, according to the anatomical features of the human body, the chest reflection area and the abdominal reflection area are physically located and distinguished in the three-dimensional space, and the independent breathing waveform is extracted from the body surface reflection to perform high-precision spatial separation and anti-interference waveform extraction operation of chest and abdominal respiration movement. The present application can realize high-precision spatial separation and anti-interference waveform extraction of chest and abdominal respiration movement.

The invention discloses an exosome composition and method for treating lung diseases, and relates to the technical field of medicines.The composition is composed of human alveolar epithelial cell exosome subjected to hypoxia pretreatment, traditional Chinese medicine compound nano-liposome and an atomization stabilizer, the mass ratio of the exosome to the traditional Chinese medicine compound nano-liposome is 1: 1-1: 3, and the mass ratio of the atomization stabilizer to the human alveolar epithelial cell exosome to the traditional Chinese medicine compound nano-liposome is 1: 1-1: 3. The preparation method comprises the steps of cell culture, exosome purification, traditional Chinese medicine liposome preparation and composition mixing treatment, during treatment, an intelligent atomizer can be used for administration, and abdominal respiration training and traditional Chinese medicine iontophoresis therapy are matched. According to the scheme, the targeting property is high, the side effect is small, the inflammatory pathway can be effectively inhibited, the pulmonary epithelium-mesenchymal transition is reversed, the drug delivery efficiency is improved, and the drug delivery system is suitable for treating idiopathic pulmonary fibrosis, acute attack of asthma and the like.

The invention provides a wearable respiratory training tool and a training method, and relates to the technical field of respiratory training. The wearable respiratory training tool comprises close-fitting shaping clothes, a chest contour monitoring part, an abdomen contour monitoring part and a shoulder and back state monitoring part. The chest contour monitoring part and the abdomen contour monitoring part are made of flexible strain materials and used for monitoring the chest breathing mobility and the abdomen breathing mobility of a user. The shoulder and back state monitoring part comprises a back pressure monitoring part and / or a shoulder state monitoring part; the back pressure monitoring part comprises pressure sensors which are arranged on the back of the body shaping clothes and used for monitoring the back lifting state of the user; the shoulder state monitoring part is made of a flexible strain material, is arranged in the shoulder area of the close-fitting shaping garment and is used for monitoring the shoulder lifting state of the user. The breathing mode monitoring accuracy can be improved, targeted breathing training is carried out, and the breathing training effect on the user is improved.

The utility model discloses an abdominal respiration monitoring device and system. The abdominal respiration monitoring device comprises a main control circuit, an elastic mechanism, a sensor, a movable part, a shell and a bandage. The first end of the bandage is connected with the shell, and the second end of the bandage is connected with the movable part; the elastic mechanism is arranged based on the shell, and the movable part is connected with the elastic mechanism; when the bandage is under a set tension state, the movable part and the shell form relative displacement, so that the elastic mechanism generates elastic deformation; the sensor is arranged on the basis of the elastic mechanism and can deform under the deformation state of the elastic mechanism; and the main control circuit is connected with the sensor and is used for acquiring set data of the sensor. According to the abdominal respiration monitoring device and system, abdominal respiration can be monitored through a simple structure, the accuracy is high, and the real-time performance is high.

The invention relates to a breathing sleep training system based on vagus nerve stimulation and breathing heart rate feedback. The execution functions of each module of the system are as follows: establishing a heart rate-respiration-sleep depth correlation model according to physiological indexes of respiration and heart rate and a sleep depth database; heart rate data and breathing data of a user are collected in real time through sensor equipment; based on the heart rate data and the breathing data, the sleep depth of the user is judged through a correlation model, and a vagus nerve stimulation instruction and an abdominal breathing training instruction are generated; and controlling the external vagus nerve stimulation system to output electrical stimulation according to the instruction, and guiding the user to carry out abdominal respiration training through voice to form a cooperatively executed dynamic feedback closed loop. By adopting the system, personalized, safe and effective non-drug comprehensive intervention on sleep disorders can be realized.

The invention relates to a mental state assessment method and system. According to the method, physiological feature sets under respective signals are extracted based on cardiac shock wave signals, thoracico-abdominal respiration signals and sleep cycle signals of an evaluated object in multiple acquisition days during sleep monitoring, and each physiological feature set comprises multiple physiological features in different dimensions. The method generates a fused physiological feature set based on respective physiological feature sets of the signals. The method also outputs an emotion level tag and a first score by a first evaluation model and outputs a psychological state tag and a second score by a second evaluation model based on the fused physiological feature set, respectively. In addition, the method determines a mental state assessment result of the assessment subject based on the first and second scores. According to the embodiment of the invention, the evaluation model can be utilized to perform objective, dynamic and interpretable evaluation on the individual mental state of the evaluation object through the multi-dimensional features extracted from the three modal signals of the heart rate, the breathing and the sleep which are monitored and changed in the multi-day sleep period.

The application discloses an intervention method and device for an apnea event, and a method implementation thereof, which comprises the following steps: acquiring a pressure signal collected by a pressure detection unit, and predicting a sleeping posture and position information of a target object based on the pressure signal, wherein the position information comprises a chest position and an abdominal position; extracting a chest respiration signal and an abdominal respiration signal based on the chest position and the abdominal position; determining whether the target object has an apnea event based on the chest respiration signal and the abdominal respiration signal; and if the target object has an apnea event, determining an intervention scheme corresponding to the apnea event based on the sleeping posture and the position information, and adjusting the air pressure of a corresponding air bag based on the intervention scheme. The application effectively reduces the influence of different sleeping positions and postures of a user on the accuracy of measurement results, reduces the influence of apnea on the user under the premise of not affecting the sleep of the user as much as possible, realizes accurate apnea judgment and individualized intervention, and reduces monitoring cost.

The utility model discloses a wearable respiratory training device, which comprises two groups of bandages for respectively fixing the chest and the belly of a user; the driving assembly is used for driving the bandages to deform or displace so as to adjust the tightness of the bandages, so that the two groups of bandages can apply pressure to the chest and the abdomen of a user respectively; the control assembly is provided with a pressure sensor and a processor; the pressure sensor is arranged on the inner side of the bandage so as to obtain the pressure between chest and abdomen expansion and the bandage when a user breathes, a data signal is fed back to the processor, and the processor alternately drives the bandage acting on the chest and the abdomen of the user to deform according to a preset pressure value. The device is used for assisting a user in completing conversion between an expiration state and an inspiration state so as to carry out precise training of thoracico-abdominal respiration, dynamically correct a respiration mode and improve the training effect and the training efficiency.

The invention provides a rapid eye movement period detection method based on chest-abdomen type respiration signals in a sleep period, which comprises the following steps of: calculating correlation between chest respiration signals and abdomen respiration signals, particularly calculating sliding window correlation coefficients of the two respiration signals; and calculating a mean value and a standard deviation of the correlation coefficient sequence to detect the rapid eye movement period.

The invention belongs to the technical field of sleep apnea detection, and particularly discloses a single-channel sleep apnea detection and post-calibration method and system integrating cardiopulmonary function multi-source characteristics, and the method comprises the following steps: collecting a single-channel abdominal respiration signal of a subject, and carrying out the preprocessing; inputting the preprocessed single-channel abdominal respiration signals into an encoder-decoder architecture network, extracting multi-scale features, and preliminarily predicting sleep apnea; performing multi-source fusion on the preliminary prediction result and the cardiopulmonary static characteristics of the subject to form a T * 31-dimensional input sequence; and performing context modeling by using a bidirectional long-short-term memory network, introducing a mask attention mechanism to focus an abnormal frame, designing event structure perception loss, and outputting a final corrected per-second prediction result. By the adoption of the technical scheme, refined feature extraction and second-by-second classification are conducted on the single-channel abdominal respiration signals, and high-precision preliminary positioning of respiration events is achieved.

The invention discloses a device for simulating respiratory thoracico-abdominal movement of a neonate, and relates to the technical field of physiological sign simulation, the device comprises a neonate simulation model, the thoracic position of the neonate simulation model is provided with a displacement generator A used for simulating up-and-down displacement of the thorax caused by the respiration and heartbeat process; and a displacement generator B for simulating up-and-down displacement of the abdomen during abdominal respiration of the newborn is arranged at the abdomen position of the newborn simulation model. The invention aims to provide a device for simulating up-and-down thoracico-abdominal movement caused by respiration and heartbeat of a neonate, and the device is particularly suitable for occasions of research, development and calibration of non-contact respiration monitoring equipment for the neonate (or a premature infant), and is also suitable for teaching occasions of teaching respiration characteristics of the neonate to pediatricians or nurses. The defects that an existing breathing simulation device cannot simulate breathing and heartbeat movement at the same time and cannot simulate rapid and large-dynamic-range displacement of the chest and abdomen at the same time due to the fact that the transient response speed is low are overcome.

The utility model belongs to the technical field of diaphragm training tools, and particularly relates to an abdominal respiration diaphragm training auxiliary belt which comprises a connecting arc plate, a through hole is formed in the middle of the side wall of the connecting arc plate, a fixed threaded cylinder is fixed to the middle of one side wall of the connecting arc plate, and the fixed threaded cylinder is located on the outer side of the through hole. An adjusting threaded cylinder is in threaded connection with the inner side of the fixed threaded cylinder, a connecting hole is formed in the bottom of the adjusting threaded cylinder, elastic arc plates are symmetrically fixed to the two ends of a connecting arc plate, an extrusion arc plate is fixedly connected to one side of each elastic arc plate, and a traction rod is fixed to the middle of the side wall of each extrusion arc plate; one end of the traction rod penetrates through the through hole and the connecting hole, a positioning belt is arranged on one side of the connecting arc plate, and the two ends of the positioning belt adhere to the two ends of the connecting arc plate. The portable nursing bed is simple in structure, can be operated by a single patient, is convenient to operate, does not need the patient to lie down, and is convenient to use outdoors and carry.