90 results about "Respiration rhythm" patented technology

The invention relates to a method and an intelligent bed for detecting respiration rates and heart rates without constraints. The method includes steps of 1), preprocessing heart impact signals; 2), preprocessing respiration signals; 3), analyzing signal cycles, to be more specific, detecting wave peaks of 2n preprocessed pressure signals and preprocessed acceleration signals and carrying out threshold judgment on the preprocessed pressure signals and the preprocessed acceleration signals to obtain respiration and heartbeat cycles of users; 4), computing the heart rates and the respiration rates, to be more specific, dividing the heartbeat cycles obtained at the step 3) by 60 to obtain the heart rates of the users, acquiring 2n respiration cycles by 2n pressure sensors by the aid of the step 3), computing average values of the 2n respiration cycles to obtain average respiration cycles, and dividing the average respiration cycles by 60 to obtain the respiration rates of the users. The method and the intelligent bed have the advantages that vibration acceleration of a bed can change by the aid of heart impact, the heart rates can be extracted by the aid of the change of the vibration acceleration of the bed, the respiration rates can be extracted by the aid of change of pressures which are applied by the thoracic cavities to the bed in respiration movement, and accordingly the heart rates and the respiration rates can be detected without the constraints; the method and the intelligent bed are high in output accuracy and recognition speed and good in real-time performance.

An acoustically enhanced collar for monitoring vital signs of a pet animal, may comprise an elastic band having a working surface configured to wrap around a neck of a pet animal and an oppositely faced rear surface, at least one sensor element situated along a circumference of the band and configured to measure at least one bioparameter from the following bioparameters: temperature, heart rate, respiration rate, movement; at least one acoustic concentrator projecting as a bump toward the neck from the working surface on a first side of the at least one sensor element; at least one acoustic concentrator projecting as a bump toward the portion from the working surface on a second side of the at least one sensor element and acoustic balancers projecting from the rear surface at least partly behind the acoustic concentrators. Preferably, the acoustic concentrators and balancers have a base end having an “X” shape.

The invention provides a non-contact motion and body measurement data acquisition system, and aims to solve the technical problems of low accuracy and limited usage scenarios of a non-contact heart rate and respiratory rate measurement method in the prior art. The system comprises a human face intelligent footpath device and a heart rate column device, the heart rate column device calculates heartrate data of a to-be-tested person by analyzing frequency spectrum peaks in voice data, and the heart rate data of the to-be-tested person is calculated by processing facial image data through a multiple linear regression method. Lung image data is processed through a selective integrated aggregation method to calculate respiratory rate data of the to-be-tested person. The motion data and the body side data of the personnel can be efficiently and stably acquired in a non-contact mode, the accuracy is high, and the method has a good application prospect.

The invention discloses a respiratory muscle training system in a motion state and a using method thereof. The respiratory muscle training system comprises a wearable respiratory monitoring module, aninteractive display module, a sports apparatus and a respiratory training management system. The wearable respiration monitoring module monitors parameters such as a respiration rate, a respiration flow rate, a respiration flow and heart rate of a subject in real time through a flow sensor and an electrocardio-electrode and transmits the parameters to the interactive display module. The interactive display module receives a training mode and training parameters issued by the training management system, compares the training mode and training parameters with respiratory and heart rate information obtained from the wearable respiratory monitoring module, and reminds a subject to adjust the respiratory rhythm and respiratory depth in real time; the sports apparatus is used for assisting a subject to keep respiratory training under set exercise intensity, so that the training effect can be improved; the respiratory training management system is a management tool for a rehabilitation doctor to sign and issue a training scheme and is used for making a respiratory training plan, setting differentiated training parameters, tracking and managing respiratory training process data and realizing continuous optimization of the respiratory training scheme.

A sensor monitors a subject and generates a signal. A computer processor receives the signal, derives therefrom data related to a heart rate of the subject and/or a respiration rate of the subject, derives from the signal at least one subject status indication that the subject is: awake and not moving, moving and asleep, not moving, asleep, awake and moving and in a bed, in a particular sleep stage while asleep, and/or has been continuously in a bed over a previous in-bed period of at least 15 hours, determines a threshold of at least 0.7 times an aerobic heart rate threshold and/or at least 0.7 times an aerobic respiratory rate threshold, and generates an alert if the signal indicates that the physiological parameter of the subject exceeds the threshold for an amount of time determined in response to the subject status indication. Other applications are also described.

The invention relates to a respiratory rate detection method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring at least two image groups, wherein each image group comprises a visible light image and a thermal image matched with the visible light image; extracting a first target area in the visible light image, wherein the first target area points to a breathing area of a target object; determining a second target area corresponding to the first target area in the thermal image; determining temperature information corresponding to each second target area on the basis of the thermal image, wherein the temperature information periodically changes along with respiration of the target object; and determining the breathing rate of the target object according to the temperature information. According to the method, the respiratory rate detection result can be obtained under the condition that the target object is not contacted, non-contact detection is achieved, and the good detection speed and detection accuracy are achieved.

The invention discloses a digital respiration following oxygen supply system. The digital respiration following oxygen supply system comprises a respiration rhythm sensor, a height sensor, a microcontroller, a D/A converter and proportional valves. The input end of the microcontroller is connected with the height sensor and the respiration rhythm sensor, and the proportional valves communicate with an oxygen source and an oxygen mask through oxygen transmitting pipelines. The invention further discloses an oxygen supply method of the digital respiration following oxygen supply system. The method includes the following steps that the pulmonary respiration depth P of a human body is detected; the pulmonary respiration cycle T of the human body is detected; the pulmonary ventilation flow sigma and the needed oxygen flow (O2) are worked out through a mathematical model preset in a microprocessor according to the respiration depth P and the respiration cycle T; the microcontroller converts the obtained pulmonary ventilation flow sigma and needed oxygen flow (O2) into electric signals which are then sent to the D/A converter; and the opening degree of the proportional valves is controlled according to the intensity of the electric signals through the D/A converter. The oxygen utilization rate is increased and the comfort level is improved for an oxygen user.

The invention provides a novel oxygen filter respiration device for emergency internal medicine. The novel oxygen filter respiration device comprises a box body; the bottom surface of the inner side of the box body is provided with an oxygen bottle; a pressure gauge is arranged at the outlet of the oxygen bottle; the outlet of the oxygen bottle is connected with the inlet end of a filter via a pipeline; the pipeline is provided with a throttle valve between the outlet end of the oxygen bottle and the inlet end of the filter; the outlet end of the filter is connected with a mask via a pipeline; the mask is provided with a fasting belt; the filter is arranged on the left side of the oxygen bottle; a support table is arranged on the left side of the filter; the filter and the support table are fixedly installed on the bottom surface of the inner side of the box body; a servo motor is fixedly installed on the front portion of the upper surface of the support table. By adjusting the rotating speed of the servo motor, the oxygen supply frequency can best match the respiration frequency of a patient, so that the patient does not need to change the respiration rhythm forcibly and secondary injury to the patient is prevented. The device is simple and efficient to operate, and is great in safety and practicability.

The invention relates to the technical field of non-contact respiratory rate measurement, in particular to a non-contact respiratory rate detection method based on an infrared thermal imager, which comprises the following steps of: (1) acquiring an infrared image sequence of a human face at least comprising a nose area as a training set; (2) marking a nostril area in the face infrared image in the training set, and recording the nostril area as ROI; (3) performing model training on the marked parameters by using a deep learning YOLO V3 method; (4) acquiring a to-be-measured face infrared image sequence as a measurement set, detecting each frame of image in the measurement set by using the model obtained by training, outputting a positioned ROI coordinate, and calculating a temperature average value of a positioned ROI region of each frame of image to obtain a curve of temperature changing along with time; (5) filtering the curve by using a low-pass filter; and (6) calculating to obtain the respiratory rate. According to the invention, the thermal infrared imager is used as measuring equipment, the temperature value can be directly obtained, the precision is quite high, and the measuring accuracy is greatly improved.

The invention discloses a respiratory rate detection method and device and medical equipment, and relates to the technical field of medical signal processing. The respiratory rate detection method comprises the steps that a respiratory signal of target duration and a corresponding electrocardiosignal are acquired; according to the respiratory signal and the electrocardiosignal, whether the respiratory signal is subjected to cardiac interference or not is judged; and according to the judgment result of whether the respiratory signal is subjected to cardiac interference or not, the respiratory signal is processed, and the respiratory rate is obtained. The acquired respiratory signal and the electrocardiosignal are combined for cardiac interference judgment, and the respiratory signal is processed according to the judgment result. Compared with the prior art that the respiratory signal is processed blindly, the respiratory rate detection accuracy is improved, and meanwhile the respiratory rate detection efficiency is further improved by selectively processing the respiratory signal.

The invention provides a non-contact body temperature and respiration rate combined detection method. The method comprises the steps of acquiring video image data under the target background of a human body by a thermal imager or a night vision device, wherein the video image data comprise temperature field information in a scene, and the temperature of the human body can be directly read in the thermal imager or the night vision device; amplifying the acquired video image data by using a micro motion amplification technology; and carrying out optical flow calculation on the amplified video image data to finally obtain an accurate value of respiration rate. According to the method, infrared video images are captured by the thermal imager or the night vision device, the body temperature andthe respiration rate of the crowd are jointly detected, and even under the condition that the body temperature is normal due to the fact that a specific target crowd takes antipyretics, the specifictarget crowd can be identified through the characteristic change of the respiration rate of the specific target crowd and an alarm is given.

The invention relates to a vital sign extraction algorithm based on a piezoelectric film sensor technology, which is characterized by comprising the following steps of: amplifying and filtering measured original heartbeat and respiration signals mixed with body movement signals; dividing the obtained signals into heartbeat, breathing and body movement signals; finding out a peak point in the data, and solving the corresponding heart rate and respiration rate. According to the algorithm, a heartbeat signal is separated from a breathing signal and a body movement signal by utilizing a signal, collected by a piezoelectric film, of a human body during sleep, so that an MCU can conveniently obtain vital sign parameters of a user during sleep. By adopting the compensation algorithm, the heart rate and the breath which are not collected can be compensated, so that the calculation result is more accurate.

A wearable device for continuously monitoring the respiratory rate of a patient, comprises three inertial sensors (10, 11, 12), the first inertial sensor (10) is positioned on the abdomen (13), the second inertial sensor (11) is positioned on the thorax (14), and the third inertial sensor (12) is positioned on a part of the body (15) not subject to respiratory movements, fixed with respect to thetorso. Each inertial sensor (10, 11, 12) comprises an accelerometer, a magnetometer, and a gyroscope. Each inertial sensor (10, 11, 12) comprises a microprocessor (21) connected to the accelerometer,magnetometer, and gyroscope. The microprocessor (21) is connected to a transmitter (22) and is configured to process the signals and supply to the transmitter (22) a signal represented by a quaternionthat describes the orientation of the three inertial sensors with respect to the Earth's reference system. A receiver (30) connected to a control centre (31) is configured to receive the abdominal quaternion of the first inertial sensor, the thoracic quaternion of the second inertial sensor, and the reference quaternion of the third inertial sensor and is configured to send them to the control centre (31). The control centre (31) is configured to process the quaternions received, so that the abdominal quaternion and the thoracic quaternion will be referenced to the reference quaternion. The control centre (31) comprises a band-pass adaptive filter (55, 56) that filters the signals represented by the abdominal quaternion and by the thoracic quaternion to eliminate the residual components linked to the movements of the patient. The control centre (31) is configured to calculate the respiratory rate from the signals represented by the filtered abdominal quaternion and the filtered thoracic quaternion.

The invention discloses an anti-motion-interference non-contact respiratory signal measurement method, which does not need to be in contact with a human body for measurement, is simple to implement and is not interfered by detection equipment, and the measurement precision is greatly improved. The method mainly comprises the following steps: 1, shooting N frames of thoracic cavity position images;2, processing a first frame of thoracic cavity position image; 3, processing the second to Nth frames of thoracic cavity position images; 4, obtaining a curve of each side length and each diagonal length changing with time through the obtained side lengths and diagonal lengths of the N polygons on the N frames of thoracic cavity position images; and 5, carrying out filtering processing on the curve of each side length and each diagonal length changing with time so as to obtain a respiration signal and a respiration rate.

The invention discloses a breath guiding device and a breath guiding method. The breath guiding device comprises an ideal entropy feedback device, a life entropy corrector and a respiratory wave guidedevice, wherein the ideal entropy feedback device and the life entropy corrector are connected in series so as to form a self-excitation breath guide closed loop, and the ideal entropy feedback device and the respiratory wave guide device are used in combination so as to form a mutual excitation breath guide open link. According to the breath guiding method, the heart rate and respiratory rate signals of a human body are obtained through a remote sensing detection radar; and analysis is performed so as to obtain corrected entropies, and a signal feedback path is established. According to thebreath guiding device and the breath guiding method of the invention, self-excitation control is performed on the breath guiding device on the basis of the rule of corrected entropy minimization, so that intervention intensity can be learned and corrected, and therefore, an intervention effect can be improved, co-frequency guidance and resonance guidance are connected in series, and the co-frequency and resonance mutual excitation effect of a group can be optimized.

The invention discloses a pulse wave multi-feature fusion-based respiratory rate extraction method, which comprises the following steps of: acquiring signals at the wrist and fingers of a user by using an array pulse wave acquirer to obtain a multi-channel pulse wave file, and performing data preprocessing on the pulse wave file to obtain a multi-channel fused pulse wave; multiple time-frequency characteristics of the fused pulse waves are extracted; constructing a credible measure of each time-frequency feature through time domain analysis; taking the credible measure of each feature as the learning weight of each feature in a neural network by using an attention mechanism, and extracting a respiration feature map by using a convolutional neural network; and fusing the extracted breathing feature maps, and inputting the fused breathing feature maps into a VGG regression model to obtain a final breathing rate. According to the method, on the basis of credible measurement of multiple features, the respiration feature map is better extracted in combination with an attention mechanism of the neural network, and the accuracy of pulse wave respiration rate extraction under the condition of big data is improved.

The invention provides a PPG signal based respiratory rate measurement method and device. The method includes the following steps: collecting PPG signals in real time; performing first processing on the PPG signals so as to obtain a first processing signal, wherein the first processing includes filtering and differential processing; performing second processing on the first processing signal so asto obtain an upper envelope; and calculating final respiratory rate according to the upper envelope. In addition, a PPG signal based respiratory rate measurement device is also provided. Through theprovided measurement method and device, the measurement of the respiratory rate can be realized through the PPG based signals; and compared with existing respiratory rate measurement methods, the measurement method and device are small in influences from the outside, wide in application scenario, simple in operation, easy to carrying and faster in measurement.

The invention discloses a non-contact through-wall life information detection method. The method comprises the following steps: denoising a to-be-detected target signal; adopting EEMD to process the de-noised signal in the fast time dimension direction of the to-be-detected target signal to obtain a first IMFs set; positioning feature time index sampling points in the first IMFs set; adopting EEMD to process the denoised signal of the target signal to be detected in the slow time dimension direction to obtain a second IMFs set of characteristic time index sampling points in the slow time dimension direction, and constructing a second IMFs set matrix; acquiring signals meeting respiratory rate characteristics and heart rate characteristics in the second IMFs set matrix, and finding corresponding respiratory signals and heart rate signals. According to the invention, the fixed background noise in the echo signal received by the radar can be removed, and the detection of life information can be realized by using the through-wall detection function and adopting non-contact detection.

The invention belongs to the field of machine vision and data recognition, particularly relates to a transfomer-based non-contact respiratory rate measurement method, system and device, and aims to solve the problem that the measured respiratory rate is poor in precision due to the fact that a model obtained by an existing respiratory rate measurement method is poor in generalization ability. The method comprises the following steps: acquiring a to-be-detected video frame sequence containing face information in a set time period; obtaining a face region-of-interest image sequence through a face detection model and a face key point model based on the to-be-detected video frame sequence; and on the basis of the face region-of-interest image sequence, acquiring a respiration rate sequence in a set time period through a trained end-to-end Transform model. The measurement precision of the respiratory rate is improved.