429 results about "Respiration" patented technology

The invention belongs to the technical field of artificial intelligence and natural language processing, and relates to a respiratory anesthesia knowledge retrieval type question answering method and system, and the method comprises the steps: receiving a respiratory anesthesia related question text; performing segmentation, vectorization and text embedding processing on the problem text to obtain corresponding vectors; inputting a pre-established and trained respiratory anesthesia professional knowledge model, generating a related text by the respiratory anesthesia professional knowledge model through vector search of a retrieval type question and answer engine, generating question-related answer cues through context integration, and calculating and outputting answers to the questions according to similarity; the respiratory anesthesia professional knowledge model is obtained by fusing respiratory anesthesia professional knowledge to carry out fine adjustment on a basic big language model, and the respiratory anesthesia professional knowledge model is based on an enhanced Transform network structure, adopts a multi-head dynamic attention mechanism, and adds domain semantic adaptation, bidirectional interaction and retrieval enhancement.

The invention relates to a food fresh-keeping method, device and equipment and a storage medium, and the method comprises the steps: collecting respiration intensity data and decay gas concentration of target food in a cold chain carriage, carrying out fresh-keeping threshold matching, and generating food fresh-keeping information; real-time environment parameters of the cold chain compartment are collected, a fresh-keeping instruction is generated according to the food fresh-keeping information and the real-time environment parameters, and an air adjusting valve opening instruction and a compressor frequency instruction are obtained; dynamic regulation and control operation is executed based on the air regulating valve opening instruction and the compressor frequency instruction, and putrefying bacterium comprehensive evaluation indexes and compressor power consumption data are obtained in real time; and according to the putrefying bacterium comprehensive evaluation index and the compressor power consumption data, instruction feedback analysis is carried out, strategy construction is carried out, and a fresh-keeping regulation and control strategy is output. The air conditioning and refrigeration strategy can be dynamically adjusted according to the breathing characteristics of different foods and the growth dynamic state of putrefying bacteria.

The invention provides a life sleep sign monitoring method, and relates to the technical field of sign data monitoring, and the method comprises the following steps: collecting an original echo signal of a monitoring area, and extracting a respiration signal, a heartbeat signal and a body movement signal corresponding to a body movement event from the original echo signal; obtaining relevance characteristics of the respiratory signal and the heartbeat signal and adjusting characteristics of the body movement event on the respiratory signal and / or the heartbeat signal; according to the relevance features and the adjustment features, biological features representing individual physiological differences are generated; based on the biological characteristics, target identity probability distribution is obtained; and performing interference suppression processing on the original echo signal according to the target identity probability distribution so as to separate a target respiration waveform and a target heartbeat waveform of the target individual from the original echo signal. The method is suitable for practical application scenes such as multi-person same-bed monitoring and family bedroom monitoring, and the technical bottleneck that the monitoring precision is reduced along with the increase of the target number in the prior art is broken through.

The invention discloses a radiofrequency ablation navigation device based on multi-modal image fusion. The device comprises a respiration sensor, an image reconstruction server, an interaction terminal and a processor. The respiration sensor is worn on a target object and used for collecting respiration data of the target object. The image reconstruction server is used for receiving the multi-modal image of the target object and reconstructing the multi-modal image into a three-dimensional model; the three-dimensional model comprises an organ geometric model, nerve distribution and a blood vessel network. And the interaction terminal is connected with the image reconstruction server and is used for marking a starting point and an ending point for the three-dimensional model. The processor is connected with the respiration sensor, the image reconstruction server and the interaction terminal; and the processor generates a predicted path output according to the respiration data and the three-dimensional model marking the starting point and the ending point. The method has the advantages that respiratory movement errors are accurately compensated, the nerve mistaken injury risk is reduced, and the operation safety is improved.

The invention belongs to the technical field of medical imaging and digital twinning, and discloses a thoracic cavity whole organ system level lung four-dimensional EIT detection digital motif and a library building method, and the method comprises the following steps: S1) segmenting multiple organs such as double lungs, heart, sternum, rib and thoracic vertebra central axis skeleton, main bronchus and esophagus based on an individual CT image, and building a three-dimensional geometric model integrated with an EIT electrode array; s2) simulating breathing dynamic deformation by using a solid mechanical model; s3) establishing a coupling relationship between deformation and conductivity, and generating dynamic three-dimensional conductivity distribution; s4) solving an electromagnetic field positive problem, and generating a virtual EIT voltage database synchronous with respiration; the invention also covers pathological model integration and data enhancement strategies. According to the method, a high-fidelity, large-scale and diversified EIT virtual data set can be generated, core data support is provided for training and verifying an AI intelligent reconstruction algorithm, and a model foundation is laid for developing a lung function dynamic digital twinning system.

The invention discloses a fresh commodity after-ripening regulation and control planning method oriented to maturity grading, and relates to the technical field of food science and biologication.The method comprises the steps that physiological parameters of fresh commodities are collected in real time based on a multi-modal sensor, and the physiological parameters comprise the epidermis pigment content, the ethylene release rate, the fruit hardness and the respiration intensity; the collected physiological parameters are input into a multi-objective optimization model based on deep learning, the model fuses a metabolic kinetic equation and an LSTM time sequence prediction algorithm, and a regulation and control parameter combination adaptive to the current mature stage is output; according to the regulation and control parameter combination, the temperature, the relative humidity and the O2 / CO2 concentration gradient of the controlled atmosphere storage equipment are synchronously regulated through a distributed control system, and a plant hormone antagonist is injected through an ultrasonic atomization device; and constructing a supply chain collaborative network based on a block chain technology, binding a grading result with logistics path planning, and adjusting a temperature control strategy and a shelf life countdown parameter of the cold chain transport vehicle in real time through an edge computing node.

The invention provides an intelligent identification and alarm method for respiratory suppression events in an anesthesia revival period, which comprises the following steps of: continuously acquiring high-frequency physiological data such as respiration, blood oxygen and electrocardio of a patient through multi-channel equipment, and establishing a dynamic causal network model fusing medical priori knowledge and clinical guidelines after standardized processing and feature extraction; a Granger causal test and a dynamic time warping algorithm are combined, a significant causal relationship among key physiological parameters is dynamically identified, a causal network structure is updated in real time, a causal analysis result is further input into a time sequence Bayesian network, calculation of a respiratory suppression event occurrence probability and reasoning path tracing are realized, and the probability of occurrence of a respiratory suppression event is calculated. According to the method and the system, the probability score is calculated, an interpretable medical logic evidence chain and thermodynamic diagram visualization are automatically generated, and if the probability score exceeds the limit, multi-mode alarm and data locking are synchronously triggered, so that the timeliness, intelligence and interpretability of respiratory suppression detection are improved, and clinical precise intervention is facilitated.

The invention discloses a multi-factor coupling ganoderma lucidum environment digital twinborn regulation and control method oriented to high-yield requirements, particularly relates to the technical field of intelligent cultivation of edible mushrooms, and is used for solving the problems of equipment action oscillation and recessive physiological stress caused by physiological response hysteresis of ganoderma lucidum in an existing environment regulation and control system. Carbon dioxide concentration and illumination intensity predicted values are generated in real time by constructing ganoderma lucidum growth digital twins, and an oxidative stress mark is activated by combining hypha respiratory entropy matching degree analysis and an active oxygen accumulation curve; when the matching degree exceeds a threshold value and oxidative stress exists, a metabolic overload signal is generated, and whether the carbon dioxide predicted value is in a physiological hysteresis interval or not is judged; delay compensation and metabolic overload suppression coefficient adjustment are performed on the carbon dioxide predicted value in the delay interval; and finally, inputting the compensated carbon dioxide value and the illumination prediction value into an environment factor coordination rule base, generating a ventilation opening degree and light supplementing power instruction to drive execution equipment, and ensuring the morphological development stability of the sporocarp and the synthesis efficiency of the active component.

The invention discloses a PET / MR (positron emission tomography / magnetic resonance) all-in-one machine-based dynamic attenuation correction and respiratory and cardiac dual motion correction method. The method comprises the following steps of: generating a dynamic mu graph of a respiratory cycle; mR cardiac function movie sequence scanning of the cardiac cycle; accurately segmenting the cardiac muscle; 6, performing tissue segmentation on the dynamic mu graph; clustering the PET data; pET data space-time registration is carried out; merging PET data of the same time phase; performing frame-by-frame dynamic attenuation correction; respiratory movement correction; correcting a partial volume effect; carrying out myocardial MR image space standardization on different time phases of the cardiac cycle; and carrying out spatial standardization on the myocardial PET image of different time phases in the cardiac cycle. According to the method, the mu graph of the respiration and cardiac cycles is reconstructed through time-phase sharing and is accurately registered with the PET data, so that the high-quality attenuation correction of the heart PET image is realized and the motion correction is completed at the same time.

The invention is a system for continuous monitoring of respiratory and gastric functions using wearable devices. Each device includes a three-axis accelerometer and optionally a gyroscopic sensor. They feature wireless communication for data transmission and means for attachment to the skin. A computation device analyzes the data, using a machine learning model to detect coughing, swallowing and respiration. The method involves placing sensors on the skin of the cricoid region and epigastric region, filtering and transmitting data, training the model, and plotting coughing frequency. This system enhances detection accuracy and facilitates early medical interventions, benefiting chronic condition management and postoperative care.

The invention provides a regional ecosystem carbon sink function evaluation system, which is based on remote sensing data and meteorological data, estimates vegetation net primary productivity (NPP) and soil heterotrophic organism respiration consumption (Rh) through a CASA model and a regression equation model respectively, and further calculates net ecosystem productivity (NEP) to evaluate the carbon sink function of a regional ecosystem. The system considers a plurality of parameters such as photosynthetically active radiation (APAR), actual light energy utilization rate (epsilon), a temperature stress factor, a water stress factor and the like, and ensures the accuracy and scientificity of estimation. The system can be widely applied to the fields of regional carbon sink monitoring, ecological environment evaluation, climate change research and the like, and provides a scientific basis for regional sustainable development.

The invention discloses a rice large-scale metabolism regulator DGP1 and crop metabolism quality design. The invention finds that the structural domain of the rice DGP1 family protein TIGR01589 targets a plurality of metabolic enzymes and promotes the metabolic enzymes to be transferred to a cell nucleus; the structural domain also has an intervention effect on a light breathing pathway by changing the composition of a glycine decarboxylase compound in mitochondria. Based on a molecular mechanism of DGP1, a chimeric protein ST containing a conservative structural domain and coupled with a chloroplast positioning signal is designed, and genetic engineering modification of pakchoi is realized. The modification strategy not only can guide substrate flow of a central glycolysis pathway to flavonoid biosynthesis, but also can promote accumulation of saccharides derived from photosynthetic products in leaves.

The invention relates to the field of biosensors, and discloses a cardiovascular data monitoring method for the cardiovascular medicine department. According to the method, electrocardio, respiration and blood oxygen signals are synchronously collected through a non-invasive terminal, sleep apnea events are analyzed and recognized in a combined mode, the electrocardio signals are deeply analyzed to detect cardiovascular abnormalities, and time sequence characterization of the function state of the autonomic nervous system is generated based on heart rate variability; and further constructing a time sequence causal reasoning model, quantifying the triggering effect of the respiratory event on the cardiovascular event, generating a comprehensive night cardiovascular risk layering index, and triggering graded early warning. According to the invention, non-sensitive, long-time-history and high-precision night cardiovascular risk dynamic assessment and causal mechanism analysis are realized.

The disclosure provides systems and methods for treating obstructive sleep apnea using an acoustic sensor configured to detect acoustic sounds generated by the heart and lungs. Sensory data from the acoustic sensor is used by an implanted stimulation system to determine when to deliver electrical stimulation to a nerve which innervates an upper airway muscle, such as the hypoglossal nerve, to treat sleep apnea.

The invention discloses a mosquito control method and system based on carbon dioxide luring and powerful airflow repelling. The method comprises the steps that carbon dioxide airflow simulating human respiration is released in a preset attracting area to attract mosquitoes; monitoring whether mosquitoes enter a preset defense range or not in real time; when mosquitoes enter, the airflow injection unit is controlled to output pulse type strong airflow to flush away the mosquitoes, and meanwhile the concentration of carbon dioxide is diluted to destroy the smell positioning capacity of the mosquitoes. And repeating the steps to continuously form the dynamic protection field. The whole process of the method does not contain any catching and killing step, so that'only repelling but not killing 'is realized. The system supports multiple modes of automation, timing, manual operation and silence, COs can be generated by adopting DAC materials through biological fermentation or chemical slow release, and different cost requirements are met. The technical prejudice that mosquito prevention must be killed is overcome, non-killing mosquito management is achieved for the first time, and the method can be widely applied to courtyards, baby rooms, temples, ecological communities and other places and is environmentally friendly and free of pollution.

The invention discloses a flexible sensor for synchronously monitoring multiple parameters of respiration and heartbeat as well as a preparation method and application thereof, and relates to the technical field of sensors. The flexible sensor comprises a respiration sensing layer which comprises a bottom layer and a plurality of split-ring resonators distributed in an array; the heartbeat sensing layer is arranged on the respiration sensing layer and comprises a middle layer and a plurality of cross-shaped resonance units distributed in an array mode, and the array center of the cross-shaped resonance units and the array center of the split-ring resonators are arranged in a staggered mode; and the packaging layer is arranged on the heartbeat sensing layer and is provided with a plurality of through holes. According to the invention, a double-layer unit differentiation layout is adopted, the outer-layer SRR resonant frequency (breathing dominant frequency band) and the inner-layer cross-shaped resonant unit resonant frequency (heartbeat dominant frequency band) realize physical signal separation through frequency interval, complex algorithm decoupling is not needed, and breathing and heartbeat multi-parameter synchronous monitoring is realized.

The invention discloses a pet physiological and psychological collaborative treatment system and method, and relates to the technical field of pet medical treatment, and the method comprises the following steps: continuously obtaining first behavior data, first respiration data and first physiological data of a pet at a time window; performing spatio-temporal change analysis on the first behavior data to obtain second behavior data representing behavior complexity; and performing nonlinear calculation on the first breathing data and the second behavior data to obtain second breathing data. According to the scheme, abnormal fluctuation caused by psychological factors is effectively separated through phase difference analysis and nonlinear calculation, in addition, judgment standards can be adaptively adjusted according to individual differences through dynamic clustering and mapping modeling, the suitability of a treatment scheme is remarkably improved, and accurate recognition and quantitative evaluation of the psychological stress state of the pet are achieved.

The invention discloses a method for detecting heart rate, respiration and oxyhemoglobin saturation based on micro-vibration images, and belongs to the technical field of physiological detection and image processing. A camera collects facial micro-vibration videos of a testee in real time, uses an ROI algorithm to lock a facial key area, extracts RGB micro-vibration change signals to replace red light and near-red light signals, and determines whether the micro-vibration videos are abnormal or not; performing wavelet transform five-layer decomposition, three rounds of peak valley screening and abnormal value elimination on the RGB microvibration time sequence signal, performing fine tuning training by using a yov11 model, and calculating to obtain heart rate, respiration and blood oxygen physiological indexes. According to the invention, non-contact detection is realized through video acquisition and signal processing of micro-vibration of a face area, and the comfort level and the use convenience of a testee are improved; interference caused by motion artifacts, baseline drift and expression changes is eliminated through multi-scale wavelet denoising; the three-wheel peak-valley screening algorithm deeply excavates the features of the face micro-vibration signals, and the recognition accuracy of the signal peak-valley pairs is improved; and an abnormity elimination and self-feedback parameter adjustment mechanism improves the calculation precision.

The invention discloses application of theanine in a preservative and a method for relieving cold injury of respiratory climacteric fruits, and belongs to the technical field of cold injury resistance. Firstly, the invention provides an application of theanine, and the theanine is used for preparing the preservative for relieving the cold injury of the respiratory climacteric fruits. Meanwhile, the theanine aqueous solution is used for preparing the fresh-keeping liquid for relieving the cold injury of the respiratory climacteric fruits. Based on the fresh-keeping liquid, the specific use method comprises the following steps: respectively placing the respiratory climacteric fruits in the theanine solution with the concentration of 5-20 mmol / L, soaking for 5-30 minutes, and drying after soaking is finished. Finally, the invention provides the theanine cold damage resistant preservative film which is prepared from the konjac glucomannan, the chitosan and the theanine, the final concentration of the konjac glucomannan is 0.2-0.8 g / L, the final concentration of the chitosan is 0.2-0.8 g / L, and the final concentration of the theanine is 5-20 mmol L <-1 >. The method is good in cold damage resistance effect and wide in application prospect.

The invention provides a sleep apnea syndrome intervention device, method and system, and belongs to the technical field of medical instruments. The lower jaw supporting structure can make contact with the lower jaw of the user and support the lower jaw of the user. The first adjusting structure is arranged on the lower jaw supporting structure and can change the relative distance between the lower jaw and the lower jaw supporting structure; the respiration detection structure is used for collecting respiration data of a user and sending the respiration data to the control center; the control center is used for judging the breathing condition of the user according to the breathing data and correspondingly triggering the first adjusting structure to raise the lower jaw or lower the lower jaw relative to the lower jaw supporting structure based on the judgment result. The breathing condition of the user is monitored, when abnormal breathing is detected, the lifting operation on the lower jaw of the user is automatically triggered, so that the smooth airway is recovered, timely intervention is achieved, the sleep quality and the health condition are improved, and wide application prospects and market values are achieved.

The invention discloses a small animal in-vivo multi-parameter dynamic monitoring method based on photoacoustic imaging, and relates to the technical field of biomedical imaging, and the method comprises the steps: obtaining a photoacoustic signal generated by a small animal under the excitation of pulse laser output by an optical excitation module through an acoustic detection module; reconstructing a photoacoustic image of the photoacoustic signal through a filtering back projection algorithm; calculating the similarity between adjacent images in the photoacoustic image, identifying the image of which the similarity is lower than a set frame threshold value as a cross section slice polluted by respiratory motion artifacts and removing the cross section slice, and replacing the removed image frame by using the interpolation of an adjacent artifact-free image so as to obtain an updated photoacoustic image; selecting a region of interest in the photoacoustic image, and carrying out oxygenation kinetics monitoring, pharmacokinetics monitoring, perfusion kinetics monitoring or nanoparticle in-vivo kinetics monitoring; according to the monitoring method, motion artifacts caused by breathing of the small animals are effectively inhibited, and in-vivo multi-parameter dynamics monitoring of the small animals is achieved.

The invention relates to the technical field of medical equipment, in particular to a spray dosing device and system for lung diseases, comprising a shell in which a medicine storage bin for storing liquid medicine and an atomizing component for atomizing and spraying the liquid medicine are mounted, the atomization assembly is communicated with the medicine storage bin, the respiration triggering assembly is installed at the end, away from the medicine storage bin, of the atomization assembly, the airflow adjusting assembly is installed in the atomization assembly, and the atomization assembly is communicated with the medicine storage bin. The airflow adjusting assembly is in signal connection with a controller, and the controller is in signal connection with the atomization assembly and the respiration triggering assembly. The system is used for achieving accurate and intelligent spray administration according to the breathing state of a patient, the deposition efficiency of medicine in the lung is improved, the treatment effect is optimized, and formulation of a personalized treatment scheme is achieved.

The invention discloses an edible fungus multi-parameter growth model construction and environment intelligent optimization method based on deep learning, and the method comprises the steps: collecting environment data, such as temperature, relative humidity, carbon dioxide concentration, illumination intensity, and matrix moisture content, and hypha and sporocarp images; the growth state index is constructed through weighted fusion of hypha respiration intensity, primordium density, pileus color gradient and other characteristics and is used for representing the growth health degree. And predicting a future growth trend based on an image and environment dual-channel feature fusion model, and obtaining prediction credibility according to a prediction error. An environment regulation and control strategy is established according to growth state improvement, energy consumption and physiological risks, equipment control instructions of ventilation, humidification, dehumidification, light supplement and the like are output, and dynamic optimization of a multi-parameter environment is achieved; and meanwhile, the model is updated online in combination with feedback data, so that the system has the capability of adapting to environment change and strain difference. The system can realize accurate monitoring and automatic regulation and control of the growth state of the edible mushrooms, and is suitable for industrialized production of the edible mushrooms.

The invention belongs to the technical field of life information monitoring, and particularly relates to an FMCW radar-based non-contact breathing and heartbeat combined detection method, which comprises the following steps of: identifying the chest of a target to be detected by utilizing a target detection algorithm to obtain a target area; controlling a steering engine to enable the FMCW radar to move to a corresponding target area, transmitting a linear frequency modulation signal, receiving a reflection signal, and performing frequency mixing to obtain an intermediate frequency signal; performing distance fast Fourier transform on the sampling data of the intermediate frequency signal to obtain a distance feature, and determining a distance unit corresponding to the target according to an extreme value of the distance feature; a phase value of a distance unit where a target is located is extracted to perform phase unwrapping and phase difference operation, then a phase difference signal is subjected to signal decomposition by using a variational mode decomposition (VMD) algorithm, and a respiration and heartbeat signal is processed by using an independent component analysis (ICA) algorithm to obtain a respiration signal and a heartbeat signal; and S4, estimating the respiratory frequency and the heart rate through the frequency spectrums of the respiratory signal and the heartbeat signal. According to the invention, the signal processing efficiency and accuracy are improved.

The invention discloses a four-dimensional cone beam CT (Computed Tomography) reconstruction method based on an anatomical prior constraint diffusion model, which mainly solves the problem of poor quality of a reconstructed image in the prior art, and adopts the implementation scheme that the method comprises the following steps: acquiring CT original full-projection data of a batch of patients, and carrying out sparse sampling on the CT original full-projection data; performing data set division and reconstruction on the original full projection data and the sparse projection data to obtain a reference true value and a low-quality CT image containing a large number of artifacts; preliminarily enhancing the CT image containing a large number of artifacts by using the pre-trained ResViT network to obtain a CT image without artifacts; segmenting the CT image without artifacts by using a body segmentation network to obtain anatomical information of each organ; constructing a four-dimensional cone beam CT motion compensation reconstruction model based on anatomical prior constraints, and training and verifying the four-dimensional cone beam CT motion compensation reconstruction model; and inputting the tested data into the trained reconstruction diffusion model to obtain a reconstruction result. According to the method, artifacts of sparse cone beam CT in a specific organ area can be thoroughly eliminated, the reconstructed image is clear in details, and the method can be used for tracking and positioning tumor movement caused by respiration.

The invention relates to the technical field of breeding equipment, and particularly discloses a corn breeding germination device. The device comprises a box body and a top cover, wherein the interior of the box body is divided into an upper area and a lower area through a middle partition plate. A supporting structure used for placing the bearing frame is arranged on the middle partition plate, and corn seeds can be borne on the bearing frame. When the rotating piece ascends, the water body in the lower half area of the box body can be extruded, so that the air pressure in the area is increased. The solubility of oxygen in water can be remarkably improved by controlling the air pressure within the range of 1-3 atmospheric pressures. The oxygen environment with high solubility can enhance the respiration of the corn seeds and promote the physiological metabolic activity of the corn seeds. Meanwhile, the water absorption rate and the oxygen utilization rate of the seeds under the high-pressure condition are improved, and then the germination efficiency and the germination rate of the corn seeds are effectively improved. According to the design, through the synergistic effect of a mechanical structure and air pressure control, an optimized growth environment is provided for corn breeding and germination.

The present disclosure provides systems, apparatuses and methods that provide probe-cavity location and motion data based on probe location and respiration data.

The invention discloses an animal non-constraint physiological monitoring system based on pressure signals, which comprises a pressure signal acquisition module, a signal processing module, a storage module, a communication module and a power supply module which are respectively connected to a processor module, the signal processing module specifically comprises a preprocessing unit, a basic feature extraction unit, a pose feature extraction unit, a physiological parameter detection unit, a sleep monitoring unit, an instantaneous health event detection unit, an emotion evaluation unit, a safety monitoring unit and a summarizing unit so as to monitor the heart rate, breath, sleep, postures, emotions and safety of a target animal. According to the invention, unbound physiological monitoring is carried out on the animal, the method is more friendly to the animal, the monitoring mode is more suitable for the animal, and the monitoring result is more accurate.

The invention relates to the technical field of medical instruments, in particular to a tanning intelligent electronic chest strap used after a cardiothoracic surgery based on artificial intelligence, and a method comprises the following steps: based on a tanning intelligent electronic material, a sensor is embedded in the chest strap, and a sensor array detects biological data such as electrocardio, heartbeat, respiration and body temperature of a patient in real time; the embedded sensor array collects the biological signals in real time, and transmits the signals of the sensor sequence to the AI intelligent analysis platform through the Bluetooth device. The intelligent chest support has the advantages of high quality, comprehensive monitoring and intelligent adjustment, the tanning electronic material, namely the intelligent material with high flexibility, high air permeability and biodegradation resistance, is adopted, the comfort and safety of long-time wearing are ensured, the material has the self-adaptive adjustment characteristic, dynamic adjustment can be performed according to the postoperative recovery condition of a patient, the optimal chest support is ensured, and the intelligent chest support is suitable for popularization and application. The wearing comfort is improved, skin allergy and compression injury are reduced, the biocompatibility is enhanced, and the intelligent monitoring device is suitable for being worn after long-term postoperative rehabilitation and intelligently monitoring various vital sign changes after the operation.

A medical device includes an obtainer configured to obtain flow rate data representing a time series of a flow rate of respiration of a patient, a generator configured to generate frequency data from at least a part of an inspiration period of one respiration in the flow rate data, and a detector configured to detect occurrence of a snore of the patient on the basis of satisfaction of a detection condition related to the frequency data and reference data having a frequency distribution of the flow rate of the respiration in a case where no snore is assumed to occur in the patient.