110 results about "Respiratory muscle" patented technology

The invention discloses a respiration monitoring system based on a flexible strain sensor and a monitoring analysis method, and belongs to the technical field of sensors and respiration monitoring equipment. The respiration monitoring system comprises a flexible strain sensor, a connecting line, a data acquisition card and an upper computer; the flexible strain sensor is a band-aid type flexible strain sensor and can be directly adhered to the skin surface of a human body, and the deformation of muscles related to respiration is monitored and converted into the change of a resistance signal. And the flexible strain sensor is connected with the data acquisition card through a connecting line. And the data acquisition card is connected with the upper computer and is used for transmitting the acquired resistance signals to the upper computer. The quantitative breathing mode judgment standard is provided through dynamic measurement of the respiratory muscle group, and the defect that judgment is mainly conducted through naked eyes of doctors for a long time can be overcome; the relation between the respiratory muscle group deformation and the lung function parameters is associated, and the problem that the actual respiration condition of part of patients does not conform to the detection condition in conventional lung function detection can be solved.

The invention discloses a respiratory therapy system and method based on biofeedback, and belongs to the field of medical instruments, and the therapy method comprises the following specific steps: S1, collecting and recording multiple paths of user physiological parameters; s2, respiratory rhythm extraction is carried out according to the characteristics of the multi-path data; s3, analyzing each piece of feature data to obtain the confidence coefficient of each piece of data, calculating the total confidence coefficient, and rejecting non-ideal data; according to the invention, by realizing coordination of electrical stimulation between diaphragm and abdominal muscles, the effect of synchronizing with breathing of a user is achieved, the expiration ability is improved, the recovery of respiratory muscle functions of a patient is promoted, the muscle strength and endurance are gradually improved, the dyspnea symptom is relieved, the exercise ability and exercise endurance are improved, and the life quality of the patient is improved.

The present invention provides a method, system, device, medium and program product for evaluating lung function based on the time characteristics of pulmonary electrical impedance images, and relates to the field of intelligent medical care. The method comprises: obtaining a time-series EIT image of a subject to be tested; obtaining regional time distribution diagrams corresponding to different exhaled air volumes of the subject to be tested containing time characteristics based on the time-series EIT image; and obtaining regional time distribution values ​​corresponding to different exhaled air volumes based on the regional time distribution diagram; comparing the regional time distribution value of the subject to be tested at the first exhaled air volume with the standard value of a healthy person at the first exhaled air volume, and if the regional time distribution value of the subject to be tested is greater than the standard value, outputting the result of the respiratory muscle burst difference of the subject to be tested.

The invention discloses an EIT-based respiratory muscle force and lung compliance closed-loop evaluation system, which is characterized by comprising a multi-frequency EIT injection / sampling unit, a signal processing unit and a signal processing unit, a pressure measurement and synchronization unit; an FPGA clock synchronization triggering unit; an EIT preprocessing unit; a compressed sensing reconstruction unit; a [delta] Z-Pressure fitting unit is adopted; a feature extraction unit; a control decision unit; and the self-adaptive NMES participates in a trend recording unit. According to the method, advanced technologies such as multi-frequency EIT, compressed sensing reconstruction, machine learning fitting, fuzzy + PID mixed control and federated learning are integrated, a new normal form for closed-loop evaluation and optimization of respiratory muscle force and lung compliance is created, and the method has great clinical value for rehabilitation of diseases such as COPD and neuromuscular respiratory failure.

The invention relates to a chin electrical stimulation combined upper airway muscle group training system and method based on bioelectric feedback, and belongs to the field of upper airway muscle group training. Comprising a pressure detection module used for detecting a pressure value in an upper respiratory tract muscle group training process; the myoelectricity acquisition module is used for detecting myoelectricity numerical values in the training process of the upper respiratory tract muscle group; the electrical stimulation output module is used for stimulating partial nerve excitation and muscle contraction of the muscle group of the upper respiratory tract of the trainee; the signal conditioning module is used for carrying out preprocessing and analog-to-digital conversion on signals transmitted among the modules; and the control module is used for controlling signal interaction in the whole training process. And the display interaction terminal is used for interacting with the trainee. Based on bioelectricity feedback, a new individualized electrical stimulation and upper airway muscle group training treatment mode is newly established, accurate electrical stimulation and training intensity are formulated, and fatigue and injury are avoided.

The invention belongs to the technical field of medicine, and particularly relates to a method and application for evaluating the respiratory muscle movement function of an IPF patient based on dynamic MRI. Performing dynamic MRI processing on the to-be-tested person to obtain a lung dynamic MRI image; manually marking and segmenting an end-expiratory image and an end-inspiratory image on the lung dynamic MRI image along the inner edge of the thoracic cavity outline, and checking and correcting; obtaining evaluation parameters of chest wall movement and evaluation parameters of diaphragm movement and form by using the images; measuring parameters are analyzed, and the pulmonary fibrosis degree and pulmonary vessel and chest wall muscle parameters of the HRCT image are quantified; and comparing and statistically analyzing the parameters of different to-be-tested persons so as to evaluate the respiratory muscle movement function of the IPF patient. The dynamic MRI technology is adopted, and a quantitative basis is provided for evaluating the respiratory muscle dysfunction and severity of the IPF patient.

The invention relates to a neonatal respiratory distress risk assessment construction method, which comprises the following steps of: implementing non-intrusive micro-disturbance operation on a neonatal, and detecting respiratory rhythm phase drift, respiratory driving force low-frequency suppression and physiological tremor window change under disturbance so as to identify a pre-instability signal regulated and controlled by a respiratory system; collecting nerve and respiration feedback path data, analyzing the time difference between respiration instruction conduction and actual respiration starting, and identifying an abnormal decoupling phenomenon; based on multiple times of perturbation induction and feedback acquisition results, continuously monitoring the micro-adaptive recovery capability of the respiratory system of the newborn, and identifying the hidden fatigue trend of the respiratory system by judging progressive extension of respiratory frequency recovery time and gradual upward movement of respiratory power consumption; the respiratory redundancy regulation capability in the stress regulation process is monitored, premature intervention and repeated activation of an auxiliary breathing mode or a respiratory muscle group are judged, and the redundancy regulation critical compression phenomenon of a respiratory regulation system is analyzed to complete evaluation construction of the neonatal respiratory distress risk.

The invention relates to a system for synchronized respiratory muscular electrical stimulation of a patient. The system comprises: a transcutaneous electrostimulation of the respiratory muscles (TERM) system comprising one or more skin electrodes configured to be placed over the respiratory muscles of the patient; at least one sensor for sensing the breathing state of the patient; and a processor configured to receive the breathing state of the patient from the at least one sensor and actuate the TERM system when the breathing state is in the inspiration phase and / or the expiration phase. The TERM system comprises at least one calibratable element, and the processor (30) is further configured to actuate the TERM system (10) in a predetermined way according to a previous calibration. The invention also relates to a method and computer program product thereof.

A method for positioning an intravascular catheter may include inserting the intravascular catheter into a venous system of a patient, wherein the catheter includes a plurality of electrodes, and multiple electrodes of the plurality of electrodes are configured to emit electrical signals; positioning a distal portion of the catheter in a first position; using one or more electrodes of the plurality of electrodes to acquire an ECG signal; based on the acquired ECG signal, adjusting the distal portion of the catheter to a second position different from the first position; identifying at least one first electrode of the plurality of electrodes to stimulate a first nerve; identifying at least one second electrode of the plurality of electrodes to stimulate a second nerve; and stimulating at least one of the first and second nerves to cause a contraction of a respiratory muscle.

The invention discloses a method and a system for automatically analyzing chest respiratory muscle volume based on a deep learning network, and belongs to the field of medical images. The method for automatically analyzing the chest respiratory muscle volume based on the deep learning network comprises the steps that a CT image and a chest respiratory muscle image manually marked by a doctor are collected, and the CT image and the image manually marked by the doctor are preprocessed to obtain a standard sketching graph; performing data enhancement operation on the standard sketching picture; constructing a U-Net model, and training the constructed U-Net model by using the standard sketching graph after data enhancement; and automatically sketching the chest respiratory muscle in the medical image by using the trained U-Net model to obtain the contour of the chest respiratory muscle. A U-Net network model is constructed, an efficient, reliable and easy-to-implement solution is provided for three-dimensional medical image segmentation, the method has wide application prospects and clinical values, time consumed in clinical work is greatly shortened, respiratory muscle related information is helped to be obtained clinically and rapidly, treatment of a patient is guided, and prognosis of the patient is improved.

According to the sleep respiratory muscle state detection quantification and auxiliary adjustment method, system and device provided by the invention, sleep muscle state signals are collected and analyzed, sleep respiratory muscle state dynamic signals are extracted, and sleep respiratory muscle state event intensity is calculated and extracted in combination with sleep motion body position change characteristics; scientific detection quantification of process characteristics and state events of sleep breathing of the user is realized; by predicting and analyzing the occurrence trend of the sleep breathing muscle state event, a sleep breathing auxiliary adjustment strategy is generated and sent to the sleep breathing adjustment equipment in real time, and dynamic auxiliary adjustment of sleep breathing of the user is achieved; through an integrated framework of innovative evaluation and auxiliary adjustment of the sleep respiratory muscle state, sleep respiration of a user is assisted, and the sleep quality is improved. Scientific detection evaluation and efficient dynamic auxiliary adjustment of sleep breathing can be achieved.

This disclosure describes methods and systems for preventing, moderating, and / or treating brain injury. The methods herein may include obtaining a test result reflecting a condition of a brain in the subject, determining a stimulation parameter based on the test result, and stimulating a nerve based on the stimulation parameter, wherein stimulation of the nerve assists or causes contraction of a respiratory muscle in the subject. The systems herein may include a processor configured to: receive a test result reflecting a condition of a brain in a subject, and determine a stimulation parameter based on the test result; and a stimulator configured to stimulate a nerve based on the stimulation parameter, wherein stimulation of the nerve assists or causes contraction of a respiratory muscle in the subject.

The present invention relates to the technical field of intelligent assessment of respiratory rehabilitation, and specifically discloses a respiratory patient rehabilitation assessment system. By real-time monitoring of the differential oscillation frequency and resistance load data of the patient during respiratory training, the system calculates the airway response characteristic value reflecting airway adaptability and the respiratory muscle endurance characteristic value reflecting the functional state of the respiratory muscles, and constructs a comprehensive respiratory rehabilitation characteristic vector input trained random forest model to achieve intelligent assessment of the patient's rehabilitation level. Based on the assessment results, the training parameters are dynamically adjusted to form a closed-loop feedback mechanism, thereby improving the personalization and effectiveness of rehabilitation training. The present invention integrates multidimensional physiological information with machine learning technology, solves the problems of strong subjectivity and poor real-time performance of traditional assessment methods, and provides scientific and intelligent technical support for respiratory rehabilitation.

The present invention provides a training device for training the respiratory muscle group. 【Solution means】In one embodiment, the device includes a hood body 30 covered at a position on the face of the user 9 with respect to the intake and outlet of air. The hood body is provided with an air flow adjustment element 31 for setting the intake resistance, which simulates the occlusion of the airway during the user's inhalation process and brings negative pressure to the airway. The device is used to execute a training step that enables the user to achieve training reference information related to the respiratory function by performing at least one inhalation or exhalation movement under the intake resistance.

A medical device is provided that can be used to determine the optimal parameters for the detection of respiratory activity and the best modality for the modulation of the nervous system and / or respiratory muscles in response. Related systems and algorithms for programming the device, as well as the design parameters, are provided.

The invention relates to the technical field of medical instruments, in particular to a muscle group electrical stimulation device based on respiratory muscle force feedback, which comprises a trolley, a cardiopulmonary muscle function therapeutic instrument main body is mounted on the trolley, a plurality of placement drawers are arranged on the trolley in a sliding fit manner, and a storage seat is fixedly mounted on one of the placement drawers. A driving mechanism is rotatably connected into the fixed cover, a movable frame is arranged in the fixed cover in a sliding fit mode, a uniform smearing mechanism is arranged on the movable frame in a sliding fit mode, and an automatic smearing pipe is fixedly connected to the movable frame. When the electrode plate is coated with the conductive gel, the automatic coating pipe is driven to reciprocate, and meanwhile, the automatic coating pipe continuously extrudes the conductive gel, so that the conductive gel can be coated on the electrode plate instead of manual work, the non-uniform phenomenon possibly occurring during manual coating is avoided, and the stability and the accuracy of signal transmission are improved.

The application discloses a lung function, respiratory muscle function determination method, system and device, and relates to the technical field of medical detection.The application comprises: MR image data collection, MR image data preprocessing, forming an image data set by MR post-processing image data; dividing the image data set into a training set, a verification set and a test set according to a ratio of 5:2:1; and constructing a UNet segmentation model and training the model by using the image data set.The application innovatively adopts a deep learning method to post-process chest MRI dynamic images, obtains quantitative indexes capable of comprehensively evaluating diaphragm structure and function of hemodialysis patients, and quantitatively describes the diaphragm function condition of the population, thereby making up for the shortcomings that a lung function instrument cannot early identify patients with relatively light respiratory muscle lesions and lung function in a compensatory stage, cannot indicate the position of respiratory muscle lesions, and cannot monitor the lung function of patients with poor lung function due to the inability to complete the lung function instrument examination.

The utility model is suitable for the technical field of respiratory training, and provides a respiratory training device which comprises a cylinder, supporting legs are detachably installed on the two sides of the cylinder, and supports are arranged at the bottoms of the two supporting legs. The shelf is used for placing the floating ball, and an airflow port is formed in the shelf; the air blowing pipe is fixedly communicated with the bottom of the cylinder body; and the adjusting mechanism is arranged on the cylinder body and is used for adjusting the size of the airflow port. According to the respiratory training device, accurate quantification, flexible regulation and control and efficient and safe respiratory training are achieved, the pertinence and effectiveness of training are improved, sanitation, comfort and safety in the using process are guaranteed, and effective training of respiratory muscles is promoted.

The invention belongs to the technical field of vocal music training, and provides a singing expiration strength stability training system for breath flow control, comprising: a hardware sensing module for collecting airflow dynamic data, respiratory muscle group electrophysiological data and respiratory kinematics data of a user; the data processing control center is used for receiving and processing the airflow dynamic data, the respiratory muscle group electrophysiological data and the respiratory kinematics data to obtain a processing result; the multi-mode feedback module outputs real-time feedback to the user through visual, auditory and tactile multiple channels based on the processing result; according to the method, heterogeneous data of airflow dynamics, electromyography and respiratory kinematics are synchronously collected and fused, song audios are analyzed in combination with an artificial intelligence algorithm to generate a scene-based target curve, and a personalized training baseline is established based on accurate decision and multi-modal sensory collaborative feedback of a fuzzy logic algorithm; the efficient, accurate and personalized improvement of the stability of the exhaling force of singing is realized.

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 application relates to the technical field of biomedical engineering, and particularly discloses a closed-loop OSA stimulation control method and device based on multi-modal physiological signal fusion, which comprises a multi-modal physiological signal acquisition module, a control processing module, a stimulation output module and a feedback correction module; by fusing related physiological signals such as respiratory muscle electricity, blood oxygen saturation and snore sound acoustic spectrum characteristics, the blocking risk in the sleep process is evaluated in real time, and the corresponding stimulation time, stimulation channel and stimulation parameter are determined in combination with the breathing phase information and the feedback result after stimulation, so that the precise, real-time and individualized closed-loop control for OSA intervention is realized under the premise of meeting the preset safety constraint. The application can more comprehensively reflect the respiratory state and the upper airway blocking risk in the acquired data, improve the accuracy of OSA related event identification, and determine the stimulation triggering time according to the current respiratory state, thereby improving the matching degree between the stimulation intervention and the actual respiratory demand.

A respiratory function exercise device effectively solves the problems that an existing weight lifting device is prone to falling and has safety risks, and when training intensity is adjusted, a balance weight needs to be found, and operation is troublesome. Comprising an H-shaped mounting frame, mounting plates are fixed to the left side and the right side of the upper end of the mounting frame correspondingly, a plurality of mounting holes are formed in the mounting plates, moving grooves are formed in the left side and the right side of the mounting frame correspondingly, moving blocks are slidably connected into the moving grooves, and T-shaped vertical grooves with downward openings are formed in the two moving blocks correspondingly; a U-shaped weight lifting rod is slidably connected into the two vertical grooves, the rear sides of the two moving grooves are communicated through a transverse groove, the left side and the right side of the transverse groove are each slidably connected with a transverse rod, and friction blocks are fixed to the opposite ends of the two transverse rods respectively; the weight lifting rod is ingenious in structure, the initial state of the weight lifting rod can be adjusted according to the height of a patient, the comfort degree of the patient during weight lifting training is increased, upper limb muscles and respiratory muscles can be trained, the lung function is enhanced, disease recovery of the patient is facilitated, and practicability is high.

The pneumatic respiratory training waistcoat comprises a waistcoat body, the waistcoat body is divided into first air bags and second air bags, the first air bags are arranged on the upper half portion of the waistcoat body in a staggered mode, the second air bags are arranged on the lower half portion of the waistcoat body in an arrayed mode, and the first air bags are connected with a main air pump through first air ports; the second air bag is connected with an auxiliary air pump through a second air port, the thoracic cavity or abdominal cavity volume is changed through air pressure, and respiratory muscles are trained.

Title of the invention: Monitoring of a patient's intercostal muscle activity during assisted ventilation using a patch sensor. The invention relates to a monitoring system (1) for the respiratory muscle activity of a patient (P), in particular intercostal and / or diaphragmatic muscle activity, comprising a patch sensor (10) including mechanomyography measurement means (13) for performing successive measurements of the patient's muscle activity, and a medical ventilator (20) with control means (25) for processing the measurements performed by the mechanomyography measurement means (13). Display means (30) display an MMG curve (31) representing the patient's muscle activity, in particular intercostal and / or diaphragmatic muscle activity, over time (t) obtained from the processed measurements. Abstract figure: Figure 1

The invention provides a wireless respiration monitoring system and method for clinical treatment, and relates to the technical field of respiration test medical treatment, and the method comprises the following steps: collecting respiratory muscle function physiological parameters of a clinical patient; establishing a mathematical evaluation model and a large sample healthy population database, and mapping and outputting a recovery evaluation initial value of the respiratory muscle function; interference item parameters of a clinical patient are collected, and an evaluation correction coefficient is obtained; and adjusting a recovery evaluation initial value of the respiratory muscle function output by the mathematical evaluation model to generate a recovery evaluation correction value. The breathing state quality of the patient after the clinical treatment stage can be predicted in advance through the mathematical evaluation model. In addition, through the collected interference item parameters, the initial value of the recovery evaluation can be calibrated, so that the finally output correction value of the recovery evaluation can more accurately predict the breathing state quality of the patient after the clinical treatment stage. And the accuracy is higher.

The invention discloses a respiratory support system and method with in-vitro negative pressure cooperating with electrical stimulation. The method comprises the steps that a signal detection module collects body surface respiratory muscle electromyography, thoracic posture, thoracico-abdominal deformation and respiratory airflow signals of a patient in real time; the negative pressure ventilation module generates negative pressure outside the thorax of the patient through a thoracic nail, a vacuum pump, a pressure reducing valve and a two-position three-way valve to reduce the pressure of a pleural cavity and pulmonary alveoli; the constant-current electrical stimulation module applies constant-current electrical stimulation to the diaphragm to enhance the contractility of the diaphragm; the control module receives the respiratory physiological signal, judges the respiratory intention of a patient through a built-in respiratory intention recognition algorithm, and controls the negative pressure ventilation and electrical stimulation module to realize triggering of an inspiration phase and an expiration phase and man-machine synchronization; through the synergistic effect of negative pressure ventilation and electrical stimulation, the respiratory support effect and man-machine synchronism are improved, and the device is suitable for adjuvant therapy of respiratory dysfunction patients.

The invention provides an intelligent detection method and system for infant respiratory muscle tension, and the method comprises the steps: building an infant respiratory muscle tension detection system, enabling a plurality of respiratory muscle tension detection patches to be attached to the surface of the infant respiratory muscle, obtaining the initial data of the infant respiratory muscle tension, and transmitting the initial data to an intelligent controller; data analysis and processing: the intelligent controller receives the infant respiratory muscle tension initial data, carries out filtering and denoising processing, calculates and analyzes infant respiratory muscle tension final data, and uploads the infant respiratory muscle tension final data to the cloud platform; after receiving the final data of the infant respiratory muscle tension, the cloud platform sends the final data of the infant respiratory muscle tension to the intelligent terminal to be displayed, meanwhile, the final data of the infant respiratory muscle tension is backed up and stored, and a log is recorded. The infant respiratory muscle tension data acquisition and analysis system has the advantages that accurate acquisition and analysis of infant respiratory muscle tension data can be realized, so that the motion state of infant respiratory muscles is judged, and the accuracy and reliability are high.

The invention discloses a respiratory muscle strength training auxiliary device which comprises a mounting strip made of cloth or elastic cloth; the anti-skid convex blocks are made of a rubber material; the anti-deformation compression structure is arranged on the inner wall and one side of the mounting strip, the anti-deformation compression structure comprises two fixing cloth strips, under the action of the anti-deformation compression structure, the fixing cloth strips can be matched with the adjusting cloth strips and other components, the chest pad and the chest are attached and fixed, and therefore the chest pad is more comfortable to wear. Meanwhile, the abdominal pad is attached and fixed to the abdomen, at the moment, under the action of components such as a fixed cylinder and a sliding round rod, buffering exercise pressure can be conducted in cooperation with a buffering spring, meanwhile, after the buffering spring is damaged, a rectangular clamping block and a rectangular clamping frame can be separated and detached, then replacement can be conducted, mechanical structure buffering is not affected by the body shape, and the practicability is high. Even if the device is damaged, only the buffer component needs to be replaced, and the whole device does not need to be replaced.

Respiratory muscle contraction inactivity during mechanical ventilation (MV) results in diaphragm weakness, which is called ventilator induced diaphragm dysfunction (VIDD). In different hypotheses to interpret the VIDD, one of the hypotheses involves the remodeling of the myoplasmic reticulum (SR) calcium release channel / Ryanodine receptor (RyR1) in the diaphragm as a proximal mechanism of the VIDD. The inventor has developed a novel derivative which can efficiently prevent VIDD in VIDD mouse and pig models. The effect is related to the homogenization of RyR function. Thus, the present invention relates to novel compounds and their use in the treatment of diseases associated with Ryanodine receptor (RyR) dysfunction.

The wearable ultrasonic respiratory muscle monitoring device is characterized in that an ultrasonic patch body comprises a pasting material layer, a matching layer, a sound production layer and a backing layer which are sequentially arranged from bottom to top, a wireless communication piece is arranged on the upper surface of the backing layer, and the matching layer and the sound production layer are the same in shape and area; the pasting material layer and the back lining layer are the same in shape and area, the area of the back lining layer is larger than that of the sound production layer, the paster connecting component comprises circumferential connecting bodies which are sequentially arranged in the circumferential direction of the lower surface of the back lining layer, bonding connecting pieces are arranged at the bottoms of the circumferential connecting bodies, and the pasting material layer is connected with the bonding connecting pieces. And the middle position of the sticking material layer is in fit connection with the matching layer. According to the wearable ultrasonic respiratory muscle monitoring device, the ultrasonic patch body can be pasted and fixed to the respiratory muscle of a patient through the pasting material layer for monitoring, the pasting material layer can be replaced after being used, and cross infection caused by the fact that different patients use the same ultrasonic patch body is avoided.