45 results about "Respiratory activity" patented technology

The invention provides an anesthesia depth monitoring method, a medium and an electronic device, and belongs to the technical field of anesthesia depth monitoring, and the anesthesia depth monitoring method comprises the following steps: collecting an electroencephalogram signal, an electrocardiogram signal and a respiratory activity signal of a patient, and carrying out preprocessing, grouping and feature extraction to realize anesthesia depth monitoring. The method comprises the following steps: firstly, segmenting a signal, calculating the similarity, and classifying subsequences into stable and fluctuating subsequences; and then, determining a step length according to the alternative interval, processing stable and fluctuating subsequences, and meanwhile, filtering, reducing noise and recording an abnormal waveform segment. Then, the signals and the abnormal waveform segments are processed in parallel on the GPU and the CPU, and features are extracted; and finally, through clustering and dimension reduction optimization features and in combination with abnormal waveform segment features, obtaining final anesthesia depth features, and inputting the anesthesia depth features into a monitoring model to obtain a monitoring result. The technical problem that the anesthesia depth monitoring result is not accurate enough due to the fact that interference or small fluctuation is often difficult to process in an existing anesthesia depth monitoring technology is solved.

The invention discloses a radar and WiFi channel state information fused dual-mode household respiration monitoring device which comprises a radar signal collecting and processing module used for detecting a human body respiration signal through a millimeter wave FMCW radar and processing an I / Q orthogonal echo signal obtained by the FMCW radar to obtain a respiration signal; the WiFi signal acquisition and processing module is used for acquiring a CSI signal containing respiratory activity information through a WiFi wireless network card and calculating a CSI ratio of a receiving channel so as to remove time-varying noise and further extract a respiratory signal; the data communication module is used for constructing a networking system based on a millimeter wave FMCW radar and WiFi through different network cable transmission modes; and the breathing information fusion module is used for dynamically fusing the two breathing signals. Starting from multi-sensor respiration signal extraction, accurate detection of personnel respiration signals in a home indoor environment is realized through a fusion algorithm, and the detection method is effective, feasible and reliable in performance.

The invention discloses a non-contact real-time monitoring method for human respiration in a Wi-Fi (Wireless Fidelity) complex interference environment. And analyzing the CSI interference intensity and the CSI active ratio, constructing a Wi-Fi interference feature mapping matrix, and calculating each channel interference index by using the matrix to realize interference discrimination. Then, through a dynamic subcarrier selection algorithm CSI-DSSA based on an interference index, a subcarrier combination with the weakest cross correlation in interference data is selected for interference processing, and time domain feature information of multiple data streams in data which is not interfered in a multi-link data fusion method aggregation mode is analyzed. And finally, extracting a time domain characteristic value and constructing an SVM multi-activity classification model in a Wi-Fi interference environment to obtain a tumble activity identification result. According to the method, the human respiratory activity recognition accuracy in the Wi-Fi interference environment can be effectively improved.

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 a signal processing unit and a method which performs an estimation (Sig res,est ) for a respiratory signal. This respiratory signal is a measure of a patient's own spontaneous breathing and / or mechanical ventilation. A summed signal (Sig) is calculated from measurements taken in or on the patient's body. Sum ) generates a signal that includes the respiratory and a cardiogenic signal. By influencing the sum signal (Sigmoidal frequency), the influence of cardiac activity on the sum signal (Sigmoidal frequency) is determined. Sum ) is compensated, an intermediate signal (Sig) is used. com ) calculated. A reference attenuation signal section describes the average time course of the contribution of the cardiogenic signal to the intermediate signal (Sig). com For each detected heartbeat, an intermediate signal segment [SigA] is generated. com (x)] is generated. From this, a damped intermediate signal section [SigA] is created. com,d(x)] is generated, for which a fitted attenuation signal section [Mod(1)(x), ..., Mod(n)(x)] is applied to the intermediate signal section. The fitted attenuation signal section [Mod(1)(x), ..., Mod(n)(x)] is calculated from the reference attenuation signal section using at least one quality measure [Q(30), Q(31)].

One aspect of the invention relates to an elastography method implemented by an elastography device, the method comprising:-obtaining a respiratory signal relating to a respiratory activity of a subject; and-acquiring a plurality of measurements of a mechanical property of a region of the body of said subject, said region being part of the liver or spleen of said subject, at a repetition rate of at least 4 measurements per second and over a duration of at least 3 seconds; -extracting at least one subset of measurements from the plurality of measurements, where each subset of measurements among the at least one subset of measurements comprises measurements acquired at the same time of a respiratory cycle, the time of the respiratory cycle being determined from the respiratory signal; -determining a characteristic relating to said mechanical property from said at least one subset of measurements.

Systems (100), computer-readable media, and methods for detecting a first indicator of a pericardium-related issue based, at least in part, on first heart sounds measurements; detecting a second indicator of the pericardium-related issue based, at least in part, on one or more of the following: posture, restlessness, respiratory activity, cardiac activation signals, oxygen saturation, and second heart sounds measurements; and generating an alert in response to detecting the first indicator and the second indicator.

The present application relates to a kind of circadian rhythm-based circulating water aquaculture fish pond dissolved oxygen mechanism modeling method, including the influence of fish respiration consumption, water surface atmospheric reoxygenation, circulating water flow, mechanical aeration factor on dissolved oxygen dynamic change;According to oxygen transfer equation, considering the influence of the above four factors on fish pond dissolved oxygen, the dissolved oxygen mechanism model of circulating water aquaculture fish pond is established;Combined with oxygen transfer equation and the characteristics of fish respiratory activity changes between day and night, the influence of fish respiratory circadian rhythm on the model is analyzed, and the model is verified.The present application can more accurately reflect the high and low peak value in different time periods and also capture the dynamic changes presented in the whole cycle, and effectively avoid the loss and risk caused by the inaccurate model description to the aquaculture industry in extreme breeding environment or abnormal environment.

Disclosed is a method and apparatus for analyzing sleep and health status using radar. In an aspect of the present disclosure, an apparatus for analyzing sleep and health status using radar according to at least one of the various embodiments of the present disclosure may include a memory; a radar sensor for sensing movement data during sleeping of a user; and a processor configured to analyze the sleep and health status by obtaining data sensed by the radar sensor, wherein the processor may be configured to convert the data sensed by the radar sensor into a frequency domain and obtain respiratory activity waveform and heartbeat waveform data.

The application relates to a stoma base plate which is characterized in that the stoma base plate comprises a fitting layer, the middle of the fitting layer is provided with a through hole matched with the size of a stoma, the inner surface of the fitting layer is provided with textures, and the rigidity of the fitting layer is distributed in a gradient decreasing mode from the edge of the stoma to the peripheral direction; the rigidity of the contact part of the fitting layer and the concave area on the skin surface is lower than that of the adjacent flat area around the fitting layer, and the rigidity of the edge of the fitting layer is higher than that of the adjacent flat area around the fitting layer; and a buffer layer having a porous structure. According to the application, through the collaborative design of the stiffness gradient of the fitting layer, softening of the local concave area and edge hardening, the fitting layer can accurately adapt to the unique abdomen curved surface and skin microtopography of a patient, when the patient breathes and moves, dynamic deformation matching can be achieved through the design, the problem of excrement leakage caused by static non-fitting and dynamic gaps is solved, and the application range is widened. Complications such as skin inflammation, infection and the like caused by the traditional Chinese medicine composition are fundamentally prevented.

Disclosed is a method and system for measuring respiration. A respiration measurement method may include continuously measuring the change in the fringing field formed through a sensor attached to a subject according to respiration activity of the subject based on the change in a resonant frequency generated through an oscillator or iterative charging and discharging of the sensor, and providing information on the continuously measured change to determine information on respiration of subject through the continuously measured change.

The present application relates to the technical field of medical monitoring, in particular to a neonatal nursing table with image acquisition and transmission functions. Through the respiratory monitoring system, the mechanical and optical characteristic time sequence of each region in the video is synchronously analyzed, the trajectory closure degree is calculated in the phase space to accurately identify the neonatal respiratory activity region, and differential video compression coding is implemented on the respiratory region and the background region according to the same, so that the weak respiratory details are clearly restored at the remote monitoring end without increasing the transmission bandwidth, and false respiratory pause misjudgment is effectively avoided.

An elastography method implemented by an elastography device, the method including obtaining a respiratory signal related to a respiratory activity of a subject; and acquiring a plurality of measurements of a mechanical property of a region of a body of the subject, the region being a part of a liver or a spleen of the subject, wherein each measurement among at least a subset of the plurality of measurements of the mechanical property is acquired at a same moment of a respective respiratory cycle determined from the respiratory signal.

An inhaler with a respiration indicator, whereby the inhaler has a chamber wall forming a chamber and a dispensing device for fluidic connection of the chamber to a bodily opening, preferably a nostril, whereby the respiration indicator has a wall section of the chamber wall or is formed in this way, whereby the wall section is designed to indicate a respiratory activity by deformation and / or movement.

A system for measuring the mechanical impedance of a patient's respiratory system during spontaneous respiratory activity characterised in that it comprises a fan, a motor driving said fan; said motor and said fan are placed inside a cavity; said cavity is divided into two sub-cavities separated from each other so as to prevent the passage of air, one containing the motor and the other containing the fan and comprising an initial end and a terminal end, both of which have access to the outside.

The present application provides a transfer system, a control device, equipment, a medium and a program product. The transfer system includes a negative pressure fixing device, a chest compression device and a monitoring device, as well as a control device and a transport device with a space for placing the injured and sick; the negative pressure fixing device is used to fix the chest compression device and the monitoring device at the chest position of the injured and sick and the corresponding monitoring position respectively; the control device is configured to: during the process of transporting the target injured and sick, control the monitoring device to monitor the displacement data of the chest respiratory activity and the carotid blood flow rate of the target injured and sick, so that when the physical condition of the target injured and sick is assessed to be an abnormal physical state, if the corresponding first aid measure is queried to indicate chest compression, the chest compression device located at the chest position of the target injured and sick is controlled to execute the chest compression process, and the compression depth of the chest compression device is adjusted according to the carotid blood flow rate, thereby meeting the transfer needs of the injured and sick in various scenarios and improving the efficiency and safety of personnel transfer.

It is related to a respiratory tracking device (10) for tracking a person's respiratory activity. Accordingly, it's novelty is characterized in that it comprises a strap (200) suitable for attaching to the body in the proximity of the person's rib cage; a body (100) connected to the two ends of said strap (200), allowing the two ends of the strap (200) to be joined; said body (100) comprises a first support body (111) provided on said body (100) and associated with a first end (211) of the strap (200); a second support body (112) provided on said body (100) and associated with a second end (212) of the strap (200); a sensor provided between said first support body (111) and said second support body (112), connected to a detector bridge (110) and positioned inside said first support body (111), for generating an electrical signal related to the tensile force generated between said first support body (111) and said second support body (112) when the person breathes; a processor unit (120) calculating the user's respiratory data according to the electrical signals received from the sensor in the first support body (111 ).

A system for measuring the mechanical impedance of the respiratory system of a patient during spontaneous respiratory activity, characterized in that the system comprises a fan, a motor driving the fan; the motor and the fan are placed in the cavity; the cavity is divided into two sub-cavities separated from each other so as to prevent the passage of air, one sub-cavity containing the motor and the other sub-cavity containing the fan and including a start end and a tail end, both having a passage leading to the outside.

The invention relates to a portable intelligent oxygen supply device which comprises a shell formed by mutually connecting a first valve body, a second valve body, a first outer shell and a second outer shell, a through opening is formed in the second valve body, the device comprises an adjusting assembly, and the adjusting assembly is adjustably matched with the second valve body to act on the through opening; the device comprises an air outlet assembly arranged in a first valve body, the air outlet assembly comprises an oxygen outlet nozzle and a filter part, a first air channel is formed in the first valve body, the two sides of the filter part are matched with the oxygen outlet nozzle and the first air channel respectively, and a monitoring opening is further formed in the surface of the oxygen outlet nozzle. According to the device, high-precision oxygen flow control is achieved by arranging the adjusting assembly, the control assembly, the air outlet assembly and the monitoring part and assisting with the circuit board, the oxygen dosage is automatically adjusted according to the breathing activity level by continuously monitoring the breathing mode, real-time adjustment can be conducted according to the actual breathing requirement of a patient, and the patient experience is improved. The problem of oxygen waste or insufficient supply is avoided, and the use comfort and efficiency are improved.

The invention relates to the technical field of physiological monitoring, in particular to a mental state real-time feedback system based on intelligent wearable equipment, which comprises a sequence construction module, a weight analysis module, a weight correction module, an index generation module and a hierarchical judgment module. According to the method, the multi-dimensional breathing fluctuation sequence containing the amplitude difference of the inspiration section, the duration of the expiration section and the change of the breathing rate is constructed, the multi-dimensional breathing fluctuation sequence and the heart beat interval sequence are mapped into the same multi-dimensional space, the Euclidean distance between the multi-dimensional breathing fluctuation sequence and the heart beat interval sequence is calculated to serve as the dynamic weighting coefficient, and the coupling strength between the cardiopulmonary systems can be quantified; therefore, the adjustment state of the autonomic nervous system is disclosed more deeply, state misjudgment possibly generated due to the fact that breathing activities cannot be associated when heart rate changes are analyzed in an isolated mode is avoided, meanwhile, the system can actively detect electrocardiosignal baseline drift and breathing waveform abnormal fluctuation, and the weighting coefficients are screened and corrected based on the interference degree.

The present invention relates to a method for calculating cardiac activity parameters of one or more vehicle occupants (30), a computing unit (500), and a computer program for carrying out this method. The method comprises determining a cardiac activity signal (100) of one or more vehicle occupants (30) using a camera (10), determining a respiratory activity signal (100) of the vehicle occupant(s) (30) using a radar sensor (20), adjusting the determined cardiac activity signal (100) of the vehicle occupant(s) (30) as a function of the determined respiratory activity signal (200), and determining cardiac activity parameters of the vehicle occupant(s) (30) as a function of the adjusted cardiac activity signal (300).

Disclosed herein are embodiments of systems and techniques for estimating the severity of chronic obstructive pulmonary disease (COPD) in a patient. For example, in some embodiments, a system for estimating COPD severity in a patient may include logic to receive a breathing signal representative of breathing activity of the patient over a time interval, receive a locomotion signal representative of locomotive activity of the patient over the time interval, and provide breathing data and locomotion data to additional logic, wherein the additional logic is to generate an estimate of COPD severity in the patient by comparison of 1) a cross-recurrence quantification analysis (cRQA) parameter between the breathing data and the locomotion data and 2) a reference value. The breathing data may be based on the breathing signal, and the locomotion data may be based on the locomotion signal.

The present invention discloses a system and method for identifying phases of breathing activity and managing exercises. The system includes a wearable device configured to capture physiological data of user comprising acoustic sound signals associated with inhalation, exhalation, and breath holding, and inertial measurement unit (IMU) data including accelerometer, gyroscope, and magnetometer data. A database stores user data and trained models, including probabilistic breath phase, breath phase transition, posture, and stability models. A computing device, in network communication with the wearable device and the database, executes program modules to receive the physiological data, preprocess the sound and motion data from physiological data, and extract features therefrom. The sound data are processed into Mel-frequency cepstral coefficient features, and the motion data are processed into slope-based features. Using these features, the system predicts breath phases in real time, segments individual breath cycles, and determines transitions between inhalation, holding, and exhalation

An automated method for monitoring the breathing rate of freely swimming fish in an aquaculture environment. The method utilizes computer vision techniques to track individual fish across video frames captured by an underwater camera. A trained machine learning classifier analyzes the mouth states of the fish in each frame, classifying them as open or closed. The method aggregates the mouth state data from multiple fish tracks to determine the overall mouth state transition count, which is used to calculate the average breathing rate. The average breathing rate is then outputted to a graphical user interface, database, or report. This automated approach offers a non-invasive, efficient, and reliable means of assessing the respiratory health of fish populations in aquaculture settings, reducing the reliance on manual observation and enabling continuous monitoring. The method contributes to the optimization of fish welfare and the sustainability of the aquaculture industry.

The invention discloses a pulse type automatic oxygen inhalation device which comprises an oxygen inhalation mask and a shell, a gas circulation cavity and a mixed gas cavity communicated with the gas circulation cavity are formed in the shell, an inhalation valve clack of the oxygen inhalation mask is communicated with the gas circulation cavity, a spring limiting frame is arranged in the gas circulation cavity, and the mixed gas cavity is communicated with the gas circulation cavity. The upper side of the spring limiting frame is connected with a first spring, the upper end of the first spring is connected with a breathing activity silica gel membrane, a magnetic sheet is embedded in the breathing activity silica gel membrane, the lower side of the spring limiting frame is connected with a second spring, and the lower end of the second spring is connected with a magnetic rubber plate. The edge of the breathing activity silica gel membrane and the inner wall of the shell are sealed, the breathing activity silica gel membrane is connected to the upper end of the shell in a clamped mode, gas in the mixed gas cavity enters the gas circulation cavity through magnetic attraction force generated by the magnetic sheet and the magnetic rubber plate and under the action of the upper spring and the lower spring, and automatic oxygen inhalation is achieved.

The present invention relates to a method for determining the cardiac or respiratory activity of a subject, the method comprising: measuring and recording sample measurements over a period of time that are at least related to the kinematic characteristics or position of an accessory (2) worn on the head of the subject; and processing the sample measurements to determine the cardiac or respiratory activity.

The invention discloses a friction nanometer generator integrated on a mask and a breathing interaction application method of the friction nanometer generator, and belongs to the technical field of wearable intelligent equipment and human-computer interaction. The generator adopts a multi-layer flexible film structure, and comprises a positive triboelectric material polyacrylonitrile (PAN)-based nanofiber membrane, a negative triboelectric material polyvinylidene fluoride (PVDF)-based nanofiber membrane, a PET breathable spacer layer located between the positive triboelectric material polyacrylonitrile (PAN)-based nanofiber membrane and the negative triboelectric material polyvinylidene fluoride (PVDF)-based nanofiber membrane, and upper and lower copper microgrid electrodes attached to each other. After the structure is packaged, a power generation unit capable of being embedded into the mask is formed, and respiratory airflow is used for driving the friction electricity material to make periodic contact and separation, so that characteristic electric signals corresponding to respiratory activities are generated. The invention further provides a respiration interaction system, multiple respiration modes such as normal respiration and deep respiration are recognized in real time through a signal processing and mode recognition circuit by analyzing information such as electric signal frequency and amplitude, and interaction feedback is provided. Self-powered, wearable and non-invasive continuous respiration monitoring and intelligent interaction are achieved.

1. Name of the designed product: lung evaluation instrument. 2. Use of the designed product: measuring the amount of gas in respiratory activity, thereby evaluating the lung function of the examinee. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The invention relates to a method for determining an individual anaerobic threshold (61), the method comprising the steps of: a) Acquiring an input signal (10), comprising a respiratory activity signal of a subject (1) executing a physical exercise, b) Processing said input signal (10), comprising * A first processing stage (S1) during which an output signal (11) is determined (300) from the input signal (10), wherein the output signal (11) is indicative of a respiration and / or of a property of the respiration of the subject (1), * A second processing stage (S2) during which the individual anaerobic threshold (61) is determined from the output signal (11), the individual anaerobic threshold (61) being a time point during the physical exercise, or an associated value at this time point, characterized in that the processing of the input signal (10) comprises submitting (200) the input signal (10) to a machine learning module (20), wherein the machine learning module (20) comprises one or more trained neural networks (21), that execute the first and / or at least parts of the second processing stage (S1, S2).

This invention relates to the field of wearable medical monitoring technology, specifically a wearable chest monitoring belt for monitoring physiological signals. The belt includes: synchronously extracting tension and respiratory phase data and performing temporal registration to generate a tension quantization matrix with belt phase markings; identifying and clustering key tension peaks based on this matrix to establish a local deformation mapping template; continuously matching real-time data using the template to dynamically construct and iteratively update a spatiotemporal multidimensional tensor field model of the thoracic cavity; decoupling the background component and respiratory activity component from this model, inputting the activity component into a lung function state inference network, and generating lung function simulation parameters frame by frame; integrating the above information to synthesize a multimodal thoracic cavity physiological state description map; and adaptively controlling the data acquisition and processing link based on this map. This invention achieves dynamic spatiotemporal modeling of thoracic cavity respiratory deformation and continuous inference of lung function parameters.