68 results about "Breath rate" patented technology

The invention provides a heart rate and breath prediction method, a program product, electronic equipment and a storage medium. The method comprises the following steps: acquiring an original signal sequence acquired from a human body through an ultra-wideband radar; determining a thoracic cavity displacement signal according to a mapping relation between the phase change and thoracic cavity displacement; performing multi-domain feature extraction on the thoracic cavity displacement signal to obtain multi-domain features; the multi-domain features comprise time domain features, frequency domain features and time-frequency domain features; on the basis of the multi-domain features, prediction values are obtained through a pre-trained prediction model, and the prediction values comprise the heart rate and the respiratory rate in the future time period. The robustness of the algorithm is enhanced through multi-dimensional feature fusion, high precision is still kept in an electromagnetic interference or multi-target scene, and the reliability of heart rate and respiratory rate prediction in a complex environment is improved. The physical signal advantage of the ultra-wideband radar is complementary with the environmental adaptability of the neural network, and the prediction accuracy of the heart rate and respiratory rate is improved.

The utility model discloses a chest pressurizing strap with a monitoring function, and belongs to the technical field of medical auxiliary tools. Comprising a pectoral girdle body, shoulder girdles, an intelligent monitoring unit and a control terminal, the shoulder girdles are elastic girdle bodies with adjustable lengths, pressurizing air bags are arranged on the pectoral girdle body and comprise a first air bag, a second air bag and a third air bag, the first air bag is arranged at the left chest position of the pectoral girdle body, and the second air bag is arranged at the right chest position of the pectoral girdle body; the third air bag is arranged on the back of the pectoral girdle body, the first air bag, the second air bag and the third air bag are connected with the air pump through independent air valves, and the intelligent monitoring unit is used for monitoring the heart rate and the respiratory rate of a patient and feeding monitoring data back to the control terminal. And the control terminal regulates and controls each group of air valves and air pumps to work according to feedback data. According to the chest pressurizing belt, the pressurizing strength of the chest pressurizing belt can be automatically adjusted, and the requirement for adjusting the pressurizing strength in real time according to the physical condition of a patient is met.

This invention discloses a feedback-based pulmonary rehabilitation assessment and treatment device, relating to the field of medical device technology. It includes a bicycle assembly connected to an expiratory mask and a detection wristband. The detection wristband is worn on the patient's wrist, and the expiratory mask is worn over the mouth and nose. The bicycle assembly is equipped with sensors and a resistance component, which is controlled by a central processing unit. The expiratory mask has a data acquisition module that collects the patient's respiratory rate. The patient's heart rate is then controlled by adjusting the resistance of the bicycle assembly. Through this technical solution, the sensor assembly can detect the resistance of the bicycle assembly in real time. The respiratory rate and the heart rate detected by the wristband are then assessed, and the central processing unit controls the resistance to help the patient achieve a stable respiratory rate and heart rate.

The utility model relates to a health monitoring system. The system comprises indoor equipment equipped with a sensor module, a processor in communication connection with the sensor module, and an alarm system. The embodiment of the utility model discloses breakthrough integration of radar technology and artificial intelligence in common household equipment (ceiling fan). The system is composed of a radar module and a decorative antenna housing which are seamlessly integrated, and a fan is converted into cautious and unnoticeable health monitoring equipment. The radar module remotely transmits signals to a monitored area, captures signals reflected from an individual body, and provides continuous real-time data about vital signs such as heart rate and respiratory rate. After the information is processed by the artificial intelligence processor, the system can detect abnormal conditions, and an alarm conveyed to the user through the user interface is triggered. The innovative system can adapt to different living environments and has deployment flexibility, and a new era of comprehensive, continuous and user-friendly health monitoring is created.

To provide a watching system capable of reducing the burdens of both a caregiver and a care receiver and obtaining enough information.SOLUTION: A watching system S according to one aspect of the present invention comprises a microwave measuring device M which transmits a microwave to a watching object O and receives a reflection wave of the microwave, a body temperature measuring device T which measures a body temperature of the watching object O, and an information processing device C which processes outputs from the microwave measuring device and the body temperature measuring device. A watching program and a watching method according to another aspect of the present invention include a biological information recording step of recording biological information data containing any of respiration rate data and heart rate data of a person to be watched in a computer on the basis of the output data of the microwave measuring device and a body temperature recording step of recording body temperature data of the person to be watched, and executes watching.SELECTED DRAWING: Figure 1

The invention relates to an intelligent low-altitude economic scene passenger emotion pacifying method and system based on a large model. The method comprises the following steps: constructing a multi-modal emotional state data set of low-altitude travel passengers; wherein the multi-mode emotional state data set comprises passenger face video sequence data, in-cabin voice and audio data, heart rate variability time sequence data, respiratory frequency time sequence data and external situation context data; performing emotional depth feature extraction based on multi-source space-time signals on the multi-modal emotional state data set to obtain multi-source emotional features; emotion recognition is carried out based on the multi-source emotion features; based on the emotion recognition result, constructing a pacifying strategy generation model; and utilizing a pacifying strategy generation model to intelligently pacify the emotion of the passenger, and evaluating and feeding back the pacifying effect in real time. According to the emotion and specific inducements recognized in real time, pacifying measure suggestions which conform to safety specifications, fit scenes and are natural in language can be generated, and timeliness and specialty of passenger cabin service are improved.

The present application relates to the technical field of psychophysiological monitoring, and discloses a video psychophysiological index analysis method and system; the method comprises the following steps: positioning facial key points and partitioning from a video, extracting remote optoelectronic plethysmography pulse wave and action unit breathing characteristics, outputting heart rate and breathing signals through Kalman filtering; obtaining a heartbeat interval through peak value detection, calculating heart rate variability indicators and breathing frequency, and normalizing by establishing an individual baseline in an initial calm period; fusing emotional characteristics and normalized indicators to form an observation vector, inferring a stress state through an unsupervised model and a forward algorithm; detecting index mutation points to identify stimulus events, and adopting a gated recurrent unit network to predict excessive stress risk and grade early warning; storing multi-session data into a database, quantifying desensitization rate, tolerance and recovery capacity through linear regression, weighted scoring and model updating. The present application realizes contactless monitoring, real-time stress evaluation and early warning, and supports quantitative analysis of cross-training effects.

This invention relates to the field of multi-organ dysfunction (MOD) early warning technology, specifically to an MOD early warning method for patients with severe burns. The method includes the following steps: acquiring heart rate, mean arterial pressure, respiratory rate, blood oxygen saturation, lactate concentration, and urine output per unit time; calculating the rate of lactate change at adjacent time points to form a sequence; comparing the rate of change across time intervals to obtain the difference in change; combining heart rate and blood oxygen saturation to calculate circulatory load; and counting the number of early warning triggers that meet risk conditions. In this invention, by calculating the rate of change of lactate concentration at adjacent time points and combining it with interval direction statistics, tissue metabolic changes show trend characteristics; the rate of change of urine output combined with mean arterial pressure forms a record of renal perfusion changes, providing a continuous characterization of perfusion status; heart rate and blood oxygen saturation are used to calculate circulatory load; multiple physiological signals are linked for judgment; and recurring abnormalities are expressed through the number of triggers. This improves the stability and predictability of MOD risk identification in critically burned patients.

Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other body portion captured using a mobile device. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.

The invention relates to the technical field of data processing, and provides a driver state monitoring method and device and an intelligent safety belt. The method comprises the following steps: collecting a physiological signal and a behavior signal of a driver through a multi-mode sensor group; performing feature extraction on the physiological signals to obtain real-time physiological state parameters of the driver; the physiological state parameters at least comprise a heart rate value and a breathing frequency value; performing feature extraction on the behavior signal to obtain a real-time behavior state parameter of the driver; the behavior state parameters at least comprise a body movement intensity value and a pressure distribution mass center position; determining current state information of the driver according to the physiological state parameters and the behavior state parameters; and executing an early warning operation corresponding to the current state information.

A method and apparatus for estimating vital signs includes obtaining data including physiological data relating to a user 32, for example PPG measurements; estimating user profiles based on the obtained data including a respiratory rate profile and an heart rate and / or blood pressure profile 34; determining a confidence level in the estimated user profiles based on differences between the estimated profiles and corresponding stored data profiles for an activity of the user 36; and performing signal enhancement on estimated user profiles with a determined confidence level below a threshold 38, wherein the enhancement is based at least in part on: one of the estimated user profiles with a higher confidence level and a stored cardiorespiratory coupling ratio for the user. The cardiorespiratory coupling ratio may be activity-specific, and there may be sensors for identifying the user activity. Where more than one of the estimated profiles has a confidence below the threshold, the enhancement is performed on the profile with the lowest confidence level. The confidence level may be determined based on the comparison of cross correlations of estimated and template data with standard deviations of template signals.

A mechanism for guiding the length of a multitude of different segments across a multitude of breathing cycles. A recorded length of each of the multitude of segments is obtained in a sample breathing cycle. The recorded length of each segment, along with a sample breathing rate and a desired breathing rate, is used to define a target length for each segment in each of the multitude of breathing cycles. Each target length is proportional to the corresponding recorded length.

A control system is provided for controlling a pressure applied by a pressure source of a positive airway pressure support system. A progressive increase is provided in the pressure applied during a fall asleep time period of a user of the system. A pressure modulation is applied during the progressive increase. The modulation is for promoting a target breathing rate of the user,

The invention discloses a feedback type lung rehabilitation evaluation therapeutic apparatus, and relates to the technical field of medical instruments, the feedback type lung rehabilitation evaluation therapeutic apparatus comprises a bicycle assembly, the bicycle assembly is connected with an expiration mask and a detection bracelet, the detection bracelet sleeves the wrist of a patient, the expiration mask is worn at the mouth and nose position, and the bicycle assembly is provided with a sensor and a resistance assembly. The resistance assembly is controlled through the central processing unit, a data acquisition module is arranged on the expiration mask, the data acquisition module acquires the respiratory rate of a patient, and then the heart rate of the patient is controlled by controlling the resistance of the bicycle assembly. According to the technical scheme, the resistance of the bicycle assembly can be detected in real time through the sensor assembly, then evaluation is conducted through the respiratory rate and the heart rate detected by the detection bracelet, and then the resistance is controlled through the central processing unit so that a patient can achieve the stable respiratory rate and heart rate.

The present application relates to the technical field of health data monitoring, in particular to a health monitoring method based on data analysis and a smart watch, which obtains physiological parameters such as heart rate, blood pressure, blood oxygen and respiratory rate of a user, analyzes the interaction between the physiological parameters, judges whether the physiological parameters are abnormally high or low, and obtains the individual health state distribution result. Based on the dynamic analysis of physiological parameters and combined with multi-dimensional data measurement, the present application accurately depicts the change characteristics of the health state, avoiding the errors caused by single data point judgment. By measuring the interaction between different physiological parameters, the health state can be more comprehensively evaluated, and the judgment of individual health state is not affected by the fluctuation of single physiological index. With the help of multi-dimensional coordinate space, the distance between the health state and the steady state interval is calculated, so that the evaluation of health state change is more quantitative, and the identification ability of abnormal fluctuation is improved.

The invention relates to the technical field of televisions, in particular to a user preference content recommendation method, a control system, a television, a medium and a product. The user preference content recommendation method comprises the following steps: detecting state data when a user watches a program; wherein the state data comprises external data and / or physical sign data, the external data comprises facial expression, body form and respiratory rate, and the physical sign data comprises blood pressure, pulse and heart rate; judging whether the program watched by the user is favorite content of the user or not according to the state data; and when the program is the favorite content of the user, recommending the content matched with the favorite content to the user. According to the method and the device, whether the program is the favorite program of the user is judged according to the state data when the user watches the program, and subjective random content selection of the user is replaced by an objective body reaction data (namely, state data) identification result, so that the really favorite content is recommended to the user; and therefore, the problem of poor user experience caused by subjective selection uncertainty can be avoided.

The application discloses an ear-mounted heart rate and respiration real-time monitoring method and system capable of resisting motion interference. The method comprises the following steps: collecting audio data and IMU data in an ear canal of a target user by using an ear-mounted wearable device; extracting heartbeat features and respiration features from the audio data; inputting the respiration features into a respiration waveform reconstruction model to obtain a reconstructed respiration waveform; inputting the heartbeat features into a spectrum reconstruction model to obtain a reconstructed electrocardiogram spectrum graph, and converting the reconstructed electrocardiogram spectrum graph from a frequency domain representation to a time domain representation to obtain a time domain electrocardiogram waveform; pre-processing the IMU data to obtain an IMU chest fluctuation waveform; and based on the time domain electrocardiogram waveform, the reconstructed respiration waveform and the IMU chest fluctuation waveform, obtaining an estimation result of a respiration frequency and a heart rate through peak-to-peak value detection. The application can effectively eliminate the influence of motion interference and improve the estimation accuracy of heart rate and respiration.

A heart rate monitoring method based on multiple physiological parameters comprises the steps that monitoring physiological parameters are collected in real time, time information and the monitoring physiological parameters are bound in sequence, and the monitoring physiological parameters comprise heart rate data; according to the method, the multiple steps of synchronously collecting the step number and the respiration number according to the preset period, calculating and obtaining the step frequency data and the respiration frequency data of the unit time and the like are included, data correction is conducted on the heart rate monitoring result through fusion calculation of the multiple physiological parameters and the heart rate parameters of the personalized object, the data fusion and precision are improved, and the accuracy of the heart rate monitoring result is improved. And efficient health monitoring is realized.

Techniques for gathering and analyzing respiratory information concerning a subject are disclosed. The techniques may involve determining a plurality of metrics concerning respiration by a subject over time. Metrics concerning respiration by the subject may be compared to determine one or more respiratory features of the subject. Such respiratory feature(s) may then be used to identify at least one respiratory condition which the subject exhibits or is at risk of exhibiting.

The invention relates to the technical field of rehabilitation training, in particular to a neural rehabilitation progress prediction method based on multimode data fusion. According to the method, the intensity adaptation factor is analyzed through the respiratory rate increase situation, and the suitability between the training intensity and the physiological tolerance of the patient is analyzed; based on the myoelectricity value periodic change and the joint angle deviation degree, the muscle fatigue degree and the motion nonstandard degree are quantified, and the execution quality of each training item is obtained; and in combination with a training effect index obtained by the strength adaptation factor, analyzing change trend mechanical energy prediction. Through multi-dimensional data collaborative analysis, trend prediction is carried out on more comprehensive and objective quantitative evaluation of the neural rehabilitation process, the rehabilitation management accuracy is effectively improved, and reliable data support is provided.

A mechanism for guiding lengths of a plurality of different segments of a plurality of respiratory cycles. A recorded length for each of a plurality of segments in a sample respiratory cycle is obtained. The recorded length of each segment is used together with the sample respiratory rate and the desired respiratory rate to define a target length of each segment in each of the plurality of respiratory cycles. Each target length is proportional to a corresponding recorded length.

The embodiments of this specification disclose a medical oxygen concentrator control method and system, relating to the field of medical oxygen concentrator control technology. The medical oxygen concentrator is communicatively connected to a monitoring device. The method includes: obtaining oxygen output parameters of the medical oxygen concentrator during a first time period, as well as physiological parameters monitored by the monitoring device for a patient during the first time period. The oxygen output parameters include oxygen output concentration and output flow, and the physiological parameters include blood oxygen saturation, heart rate, and respiratory rate. Based on the oxygen output parameters and physiological parameters, determining the degree of match between the oxygen production effect of the medical oxygen concentrator during the first time period and the patient's physiological state; and if the degree of match does not meet a preset condition, adjusting the oxygen output parameters of the medical oxygen concentrator during a second time period. This method enables adaptive control based on the patient's physiological state, thereby improving the intelligence and adaptability of the medical oxygen concentrator and enhancing the patient's user experience.

The invention discloses a control method and system for a full-spectrum brain therapeutic apparatus, and relates to the technical field of brain therapeutic apparatuses, and the method can obtain key physiological data such as body temperature, heart rate, blood pressure and respiratory rate of a patient, and carries out the physiological data fusion through employing an improved weighted average algorithm and a D-S evidence theory. And inputting the fused data into a physiological status evaluation model to dynamically evaluate the physiological status of the patient, thereby determining a targeted treatment target and optimal control parameters, and controlling the full-spectrum brain therapeutic apparatus to work according to the control parameters. According to the method, intelligence and adaptivity of the treatment process are enhanced, and more reliable and effective treatment experience is provided for the patient.

The invention relates to a multi-modal fusion decision-making remote medical guidance first-aid transfer method and device. The method comprises the following steps: acquiring a real-time data stream including heart rate, oxyhemoglobin saturation, body temperature, respiratory rate, blood pressure, posture, limb activity and gait through wearable equipment of a patient terminal; acquiring an on-site video stream through a camera carried on a first-aid personnel terminal; acquiring moan sound, breathing sound, environmental noise and voice information of a patient or an accompanying person through a microphone; inputting the on-site video stream, the voice information and the real-time data stream into a trained multi-mode emotion recognition neural network for real-time analysis, and reasoning a preliminary analysis result, a potential risk and a first-aid transfer scheme of the patient; the first-aid transfer scheme comprises on-site emergency treatment measures, transfer postures, transfer routes and calling of specific medical staff. According to the invention, the traffic risk and the disease deterioration probability of the patient are comprehensively considered, and the efficiency and safety of first-aid transfer are improved.

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

1. The name of the design product: millimeter wave radar breath and heart rate monitor. 2. The use of the design product: for non-contact breath and heart rate monitoring of static human body, and data transmission to the cloud and remote equipment for interaction, thereby realizing online real-time monitoring, remote sharing and abnormal alarm of breath, heart rate, sleep, body movement, in-bed / off-bed and other data of the monitored population in the ward or family. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application provides an emergency method and device for pre-hospital medical treatment, which is applied to a medical treatment platform of an ambulance, acquires first patient data of equipment, wherein the equipment is instrument equipment on the ambulance, and the first patient data includes one or more of body temperature, blood pressure, heart rate and respiratory rate of the patient; obtains first symptom parameters according to the first patient data; matches a first treatment mode corresponding to the first symptom parameters from a preset model library; and shows the first treatment mode to medical staff, so that the medical staff pre-treats the patient according to the first treatment mode. By using the above method, the ambulance is used to match the corresponding treatment mode according to the patient data during the time before entering the hospital, and the medical staff pre-treats the patient according to the treatment mode, so that the occurrence of the omission of the patient data is reduced.

The present application relates to the air conditioning technical field, specifically provide a kind of air conditioner and its aromatherapy control method, computer equipment and medium, to solve the problem that the sleep quality of user can not be improved in prior art when air conditioner operates, only by adjusting temperature and humidity, reduce the way of noise reduction, reduce the influence on the sleep quality of user, cannot improve the sleep quality of user.For this purpose, the aromatherapy control method of the present application comprises: in response to the instruction received, control the air conditioner to start running sleep mode;When the air conditioner runs the sleep mode, the heart rate and breathing rate of user are acquired;The operating parameters of the atomizer are controlled based on the size of the heart rate and the breathing rate.The present application controls the operating parameters of the atomizer based on the size of the heart rate and the breathing rate of user, so as to be able to increase the aromatherapy factor conducive to the sleep of user on the basis of not affecting the original indoor environment according to the actual situation of user, improve the sleep quality of user.

To provide a biological information generation system, a biological information generation method and a program capable of accurately measuring biological information such as a respiration rate and a heart rate of a person to be measured.SOLUTION: The Doppler sensor control section 30 controls the position of the Doppler sensor 15 so that the Doppler sensor 15 is arranged at one of a plurality of predetermined candidate positions. For at least one candidate position, based on the Doppler data indicating the measurement result by the Doppler sensor 15 disposed at the candidate position, the reliability calculator 36 calculates the reliability of the biological information obtained from the Doppler data. The decision unit 38 decides the measurement position from among the plurality of candidate positions based on the reliability calculated for at least one candidate position. The biological information generation unit 40 repeatedly executes a process of generating biological information of the measurement subject based on Doppler data indicating the measurement result by the Doppler sensor 15 arranged at the measurement position.SELECTED DRAWING: Figure 3

Provided are a biological information generation system, a biological information generation method, and a program that make it possible to accurately measure biological information such as the respiration rate and heart rate of a subject. A Doppler sensor control unit (30) controls the position of a Doppler sensor (15) such that the Doppler sensor (15) is disposed at one of a plurality of predetermined candidate positions. A reliability calculation unit (36) calculates, for at least one candidate position, the reliability of biological information obtained from Doppler data indicating a measurement result measured by the Doppler sensor (15) disposed at the candidate position, on the basis of the Doppler data. A determination unit (38) determines the measurement position from among the plurality of candidate positions on the basis of the reliability calculated for the at least one candidate position. The biological information generation unit (40) repeatedly executes processing for generating biological information of the measurement subject on the basis of Doppler data indicating a measurement result measured by the Doppler sensor (15) disposed at the measurement position.