45 results about "Counting respirations" patented technology

Provided is a configuration capable of executing a detection test for a comfort level including the quality of sleep, which is measurable at home without requiring the measurement of brain waves or electrocardiogram. The respiratory waveform of a subject during sleep is continuously measured and recorded from the respiratory gas flow, etc., and is window-Fourier transformed at each measurement time to generate a frequency spectrum, and a bandwidth including a respiratory frequency is extracted. The index indicating the regularity of the respiratory period of the subject is also calculated at each time point during the sleep, and the time-dependency of this index during the sleep is represented as a graph. A medical device includes a sleep evaluation system equipped with a control means for performing control so that a sleep cycle repeated at a cycle of about 90 minutes is clearly observed if the comfort level including the quality of sleep of the subject is favorable.

Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and / or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).

The present invention relates to a method and device for determining a level of ventilatory assist to a ventilator-dependent patient, in which a critical threshold of a respiration-related feature is calculated. Fatigue of a respiratory muscle of the ventilator-dependent patient develops when the critical threshold is reached by the respiration-related feature. The level of ventilatory assist to the ventilator-dependent patient is controlled in relation to the critical threshold of the respiration-related feature so as to prevent fatigue of the patient's respiratory muscle.

The invention relates to a respiration information processing method. The method includes the following steps: S101, preprocessing a respiration signal, selecting signal frequency band and acquiring a bandwidth-limited signal; S103, subjecting the bandwidth-limited signal to Teager energy operator transformation to acquire instantaneous amplitude and instantaneous frequency of the respiration signal; S105, respectively performing time domain and frequency conversion on the instantaneous amplitude and the instantaneous frequency to acquire instantaneous respiration intensity and instantaneous respiration rate; S107, performing filter processing on the instantaneous respiration intensity and the instantaneous respiration rate respectively to obtain average respiration intensity and average respiration rate. In addition, the invention provides a respiration information processing system. The respiration information processing method has good movement disturbance resisting capability, and the respiration rate and the respiration intensity can be acquired simultaneously, and can be calculated online in real time.

A method and apparatus for monitoring respiration in a patient sense a cardiac electrical signal and detect signal peaks from the cardiac electrical signal. A peak amplitude waveform is generated from the signal peaks. a first derivative of the peak amplitude waveform is computed. Inspiration pulses are derived from the first derivative signal, and a respiration metric can be computed using the inspiration pulses derived from the cardiac electrical signal.

The invention provides a respiration measurement method based on a camera and a spherical marker. The spherical marker attaches to the chest and abdomen of the human body, the images of the marker are collected by adopting the camera, the distance change between the marker and the camera can cause the change of the imaging size of the marker in the camera, by extracting the contour radius of the imaging region of the marker and recording the size change of the contour radius of the region in the continuous images, the respiration movement of the human body can be reflected, the respiration movement mode of the human body can be tracked, and the respiration frequency can be calculated. According to the respiration measurement method provided by the invention, the tracking on the respiration mode and the calculation for the respiration frequency are realized through the simple spherical marker and the camera, so that the connection of the expensive sensor and the discomfort caused to the human body are avoided, in addition, the complex tracking and calculating algorithm in other image measurement respiration algorithms are also avoided, and the respiration measurement method is beneficial for the measurement for the respiratory frequency and the tracking for the respiration mode in daily life.

A respiratory apparatus evaluates accuracy of a pressure sensor, such as when only a single pressure sensor is provided. The accuracy of the pressure sensor may be assessed based on pressure measurement obtained from the pressure sensor and a subordinate or secondary characteristic of the respiratory device such as altitude or atmospheric pressure. A controller or processor may calculate the altitude of the respiratory device based in part on the pressure measurement. In some embodiments, the assessment of the pressure sensor may involve an evaluation of the calculated altitude. In some cases, the assessment of the pressure sensor may involve determining an estimated pressure based on a calculated altitude, and comparing the pressure measurement obtained from the pressure sensor with the estimated pressure.

The invention discloses an intelligent sleep aiding method on the basis of respiratory frequency adjustment. The intelligent sleep aiding method includes steps of acquiring respiratory data of N respiratory times of an object, computing respiratory frequencies fn and recording durations tn of the respiratory times; comparing the respiratory frequencies fn to corresponding respiratory frequencies f(n-1) of previous N respiratory times of the object; playing audio files corresponding to the respiratory frequencies f(n-1) if the respiratory frequencies fn are higher than the respiratory frequencies f(n-1); playing audio files corresponding to the respiratory frequencies fn if the respiratory frequencies fn are lower than or equal to the respiratory frequencies f(n-1) until the judged object falls asleep. A corresponding intelligent sleep aiding system comprises a respiratory acquisition unit, a storage unit and a processing unit. The respiratory data of the object can be acquired and analyzed by the respiratory acquisition unit; the audio files with different frequencies can be stored by the storage unit; the respiratory data of the N respiratory times of the object can be analyzed by the processing unit according to the respiratory data, which are transmitted by the respiratory acquisition unit, of the object, the respiratory frequencies fn can be computed by the processing unit according to the respiratory data, the duration tn of the respiratory times can be recorded by the processing unit, and the audio files with the corresponding frequencies can be played by the processing unit according to rules.

The invention designs a radar-based non-contact respiration detection method for pigs. A millimeter wave radar is creatively applied to respiration detection for pigs, and a depth camera detection in the prior art is replaced. A respiratory rate and a heart rate of pigs are calculated through steps of data collection, data preprocessing, signal separation, mobile noise pollution judgment and processing, respiratory rate calculation, harmonic wave removal and the like, whether heartbeat harmonic waves are overlapped with the respiratory rate or not is judged according to the calculated respiratory rate and the calculated heart rate, and if the overlapping exists, a designed filter needs to be used for filtering out heartbeat harmonic waves in breathing data and recalculating the respiratory rate. In conclusion, the non-contact respiratory rate monitoring method solves problems that the cost is high and the precision is relatively low when the respiratory rate of the pigs is detected through a depth camera. Meanwhile, accuracy of an final respiratory rate result is further improved through cooperation of a multiple spectrum estimation method, a mobile noise removal and a heart rate filter method.

The invention comprises a ventilation apparatus and method for operating a ventilator of a ventilator apparatus, wherein in the method at least one duration ratio factor is set in a computing system of the ventilator apparatus; at least one minute volume, at least one functional dead space volume and at least one time constant are determined; a respiration frequency is computed, based on a previously defined lung model, depending on said determined parameters, where said computed respiration frequency is optimized on at least one minimum of a delivered parameter, which is induced to a patient using said ventilator; an inspiratory time and an expiratory time are determined based on said computed respiration frequency and said duration ratio factor; at least one tidal volume based on said previously computed respiration frequency and said determined minute volume is computed; and a delivered respiratory parameter of the ventilator is closed loop controlled.

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.

A method for selecting data to reconstruct a three-dimensional (3D) image of a subject of interest includes acquiring a 3D emission dataset of the subject of interest, acquiring a respiratory signal of the subject of interest, the respiratory signal including a plurality of respiratory cycles, and calculating a respiratory profile using the respiratory signal. The method further includes, for each respiratory cycle, generating a gating window, calculating a minimum total squared difference (TSD) between a plurality of phases in the respiratory profile and the same plurality of phases in the respiratory cycle, and positioning the gating window based on the TSD values calculated, and reconstructing a 3D image using only the emission data within the plurality of gated windows. A system and non-transitory computer readable medium are also described herein.

The invention discloses a vital sign detection method based on millimeter-wave radar, which is used for detecting heartbeat and respiratory rate of a living body. According to the method, a multi-antenna transceiving mode is adopted, distance dimension FFT is carried out on data of each receiving antenna, FFT is carried out along the dimension of each receiving antenna, and then the position of each to-be-detected target in a two-dimensional plane is determined by measuring phase change; and for an extracted target life signal, a band-pass filter is firstly used for dividing the signal into different frequency bands, then an improved empirical mode decomposition method is used for calculating respiratory and heartbeat frequencies, harmonic interference is further removed, a window local averaging method is used for replacing a cubic spline interpolation method in the empirical mode decomposition method to calculate an original signal local mean value, signal decomposition time is shortened, and the endpoint effect of an empirical mode algorithm is overcome.

The invention relates to a radar signal processing technology, and discloses a human respiratory rate calculation method based on radar measurement, which can accurately calculate the respiratory ratein real time and is low in calculation complexity. The method comprises the following steps: a, receiving an echo signal reflected by transmitting an electromagnetic wave to a free space where a target human body is located by using an ultra-wideband radar; b, carrying out Fourier transform on the distance dimension information of the echo signal, then carrying out maximum value search, and extracting data within a preset distance by taking the maximum value as a center to obtain an echo sequence of a human body; c, calculating a reference respiratory rate through the spectrogram of the humanbody echo sequence; and d, calculating the average amplitude difference of the human body echo sequence, and calculating the accurate respiratory rate in combination with the reference respiratory rate.

The invention provides a respiration monitoring method. The method comprises the steps that a three-axis acceleration signal of a user respiration signal is obtained; respectively carrying out sliding filtering and low-pass filtering on the three-axis acceleration signals of the respiratory signal in the sliding window to obtain three axial respiratory signals; respectively calculating a target peak amplitude standard deviation, a target peak amplitude mean value, a respiration interval and a respiration interval standard deviation of each axial direction according to the respiration signals of the three axial directions; screening one axial direction from the three axial directions as a target axial direction according to the target peak amplitude standard deviation, the target peak amplitude mean value and the breathing interval standard deviation of each axial direction; performing abnormal completion processing on each breathing interval in the target axial direction to obtain a target breathing interval sequence in the target axial direction; and calculating breathing parameters according to the target breathing interval sequence in the target axial direction. According to the method, the respiration signals can be collected and tracked based on the three-axis acceleration signals of the respiration signals of the user, operation is convenient and fast, calculation is simple, and the application range is wide.

The invention provides a method for calculating respiratory frequency, and belongs to the technical field of signal processing. The invention aims to solve the problem that difficulty in calculating correct respiratory times is increased when respiratory characteristics are not obvious at present. The method comprises the following steps: searching a correct heartbeat peak in an original signal, and recording coordinates of the heartbeat peak; intercepting an original signal of each coordinate according to the coordinates of the heartbeat peak so as to obtain an original signal of each heartbeat period; calculating and recording an absolute average value of an original signal of each heartbeat period; searching local peak values of the absolute average value, and performing counting to obtain respiratory times in the time of each original signal; and dividing the time of the original signal by the respiratory times in the time of each original signal, so as to obtain respiratory frequency. According to the invention, through comparison of original signals in a plurality of heartbeat cycles, influence of heartbeats on analysis is weakened, and respiration frequency can be accuratelycalculated under a condition that a heartbeat characteristic is far larger than a respiration characteristic.

The invention discloses a method for extracting a breathing state based on a radar signal, which comprises the following steps that: 1) a radar detection module transmits a modulated continuous wave, performs one-dimensional fast Fourier transform on the received modulated continuous wave of a plurality of periods, and calculates the frequency shift of the transmitted wave; (2) when the frequency shift of the transmitted wave deviates, the influence of environmental noise is removed, and a real motion signal of the chest is extracted; (3) judging whether the test target is in a human body normal breathing state, a body moving state or an unmanned state according to the extracted waveform signal; and 4) when the human body is judged to be in the normal breathing state, calculating a breathing value according to the waveform characteristics of the breathing signal, and then judging whether the apnea phenomenon occurs in the sleep process. According to the method, the respiration signals of the testee are collected, direct contact with the human body is not needed for measurement, operation is easy and convenient, and the human body moves freely.

The invention relates to the technical field of humidity-sensitive materials, in particular to a humidity-sensitive film based on chitosan and polypyrrole and a preparation method and application thereof. The humidity-sensitive film is a composite humidity-sensitive film based on chitosan (CS) and polypyrrole (PPy), and the CS / PPy composite humidity-sensitive film is of a multi-pore, high-specific-surface-area, stacked and staggered incomplete coating structure. And the prepared CS / PPy-QCM humidity sensor is prepared. The obtained sensor has the advantages of high sensitivity (52.91 Hz / % RH), low humidity hysteresis (1.68% RH), short response / recovery time (4s / 2s), good selectivity, good repeatability, good stability and the like. The invention constructs a human respiration detection system. According to the system, a breathing mask constructed by a humidity sensor is used for sensing a breathing humidity signal, a QCM tester is used for collecting the signal, and an App with a human-computer interaction interface is used for extracting characteristic parameters of the breathing signal, judging the breathing type, calculating the breathing frequency and generating a corresponding breathing type detection report according to requirements. And a potential respiration monitoring value is displayed.

The invention discloses a non-contact apnea detection device and method. According to the apnea detection device, the method comprises the steps of shooting a breathing video containing the chest andthe abdomen of a detected person in a sleeping or quiet state through a camera; performing spatial pyramid decomposition on the video; decomposing a pyramid layer of an interested area, respectively carrying out time domain band-pass filtering on the decomposed pyramid layer to obtain a frequency band related to thorax and abdomen breathing actions, amplifying a signal of the frequency band, extracting brightness information of pixel points of the amplified interested area, calculating a breathing rate, and judging normal breathing and abnormal breathing states by setting a dynamic threshold value of the brightness information. Therefore, all apnea states of the examinee in the shot video can be correctly judged. According to the invention, the respiratory rate of the photographed person can be correctly detected through the photographed video image in the sleep or quiet state of the human body, and whether apnea occurs in the video recording period or not can be correctly judged.

The present disclosure teaches systems, devices, and methods to detect sleep apnea. A method, for example, includes affixing a sleep apnea detection device to a patient. The sleep apnea detection device has a processor, at least one memory, at least one micro-electromechanical system (MEMs) device, at least one transceiver, and at least one power source to power the sleep apnea detection device. Data that indicates the patient's breathing is collected with the at least one MEMs device, and based on the collected data, at least one of the patient's inhalations and the patient exhalations is determined. It is also determined when the patient fails to inhale over a determined first period of time. Based on a number of times the patient fails to inhale, an Apnea Hypopnea Index (AHI) score is calculated, and if the AHI score crosses a selected threshold, it is determined that the patient has sleep apnea.

The invention provides a self-adaptive tidal volume calculation method. The self-adaptive tidal volume calculation method comprises the following steps that S1, the real-time flow speed F1 and the real-time pressure P1 at the collection interval time delta t of a flow sensor at a breathing machine end are collected; S2, a real-time air leakage flow velocity F2 is calculated; and S3, the inspiration tidal volume and / or the expiration tidal volume are / is calculated, wherein Ti is the inspiration phase time, and Te is the expiration phase time. According to the self-adaptive tidal volume calculation method and the device and the breathing machine, the tidal volume of the breathing machine in the using process can be accurately calculated, and therefore the treatment effect is improved.

The invention discloses a respiratory system health monitoring method and device, the device comprises a processing system, an analysis terminal and a plurality of voltage change type detection elements, the processing system comprises a signal amplifier, a low-pass filter and an A / D converter, and the voltage change type detection elements, the signal amplifier, the low-pass filter, the A / D converter and the analysis terminal are connected in sequence. The pressure change type detection element generates an electric signal, and the processing system processes the electric signal and outputs a chest breathing oscillogram and an abdominal breathing oscillogram; and the analysis terminal calculates the respiratory rate and the respiratory energy, and judges whether the patient has a high respiratory risk, a medium respiratory risk or a low respiratory risk according to a calculation result. According to the method, the respiratory rate and the respiratory energy of the patient are calculated, and the evaluation index of the respiratory risk is formulated, so that the patients with medium and high respiratory risks can be distinguished, the patients can be treated and prevented, and the situation that the illness state of the patients suddenly deteriorates and cannot be found and treated in time is prevented.

The invention discloses a breathing machine regulation and control method and system based on sleep characteristics. The method comprises the steps that S1, the sleep posture of a user is obtained; S2, whether each airway of a pre-worn multi-channel breathing mask is suspected to be pressed or not is judged based on the sleep posture of the user, and a certain electric control valve preassembled in the airway is controlled to open the airway which is not suspected to be pressed; the breathing mask is provided with a plurality of airways communicated with the breathing machine, at least two airways are located on the two sides of the face, and at least one airway extends out of the head top and the airways are provided with corresponding electric control valves for controlling on-off; S3, respirator parameters are obtained; S4, on the basis of the parameters of the breathing machine, the variable quantity of pressure and / or flow before and after airway switching of the breathing mask is calculated; and S5, whether the variable quantity is larger than a threshold value or not is judged, if yes, the data in the stage are marked as sleep posture interference data, a breathing machine parameter adjusting logic starting point updating instruction is sent, and the starting point is t1 time after airway switching. The method has the effect of improving the regulation and control accuracy of the breathing machine.

The invention relates to a respiratory rehabilitation training device which comprises an abdomen exercise device, an upper limb exercise device and a respiratory data processing device, the abdomen exercise device comprises a pressing belt and an action turntable, the action turntable can rotate to wind two pull ropes to shorten the linear distance between the left end and the right end of the pressing belt, and the pressing belt is tensioned; the upper limb movement device comprises a left elbow movement device and a right elbow movement device and is used for dragging elbows on the left side and the right side of the patient according to a fixed track so as to achieve abduction of the upper limbs of the patient; the calculation module is used for calculating breathing time and frequency according to the numerical value of the electromyographic signal and judging the breathing type, and the adjustment module is used for controlling the actions of the action turntable and the pressing mechanism according to the numerical value of the electromyographic signal; the device is favorable for improving the respiratory function and core muscle group function of a patient, is convenient to use, is safe and non-invasive, and can be repeatedly trained.

A respiratory apparatus evaluates accuracy of a pressure sensor, such as when only a single pressure sensor is provided. The accuracy of the pressure sensor may be assessed based on pressure measurement obtained from the pressure sensor and a subordinate or secondary characteristic of the respiratory device such as altitude or atmospheric pressure. A controller or processor may calculate the altitude of the respiratory device based in part on the pressure measurement. In some embodiments, the assessment of the pressure sensor may involve an evaluation of the calculated altitude. In some cases, the assessment of the pressure sensor may involve determining an estimated pressure based on a calculated altitude, and comparing the pressure measurement obtained from the pressure sensor with the estimated pressure.

Provided is a novel heart failure diagnostic device capable of performing high-precision diagnosis of heart failure based on respiratory stability on the basis of the detection results of a flexible piezoelectric sensor sheet that does not need to be worn on a user. A heart failure diagnostic device (10) diagnoses heart failure using an index generated on the basis of the standard deviation of the respiratory rate of a user (P), the heart failure diagnostic device (10) comprising: a flexible piezoelectric sensor sheet (12) that outputs a detection signal in accordance with input vibration; a respiration signal acquisition unit (40) that extracts, as a respiration signal, a signal of a vibration frequency caused by respiration from a detection signal of the piezoelectric sensor sheet (12); and a power spectrum calculation unit (44) that calculates the power spectrum of the respiratory band on the basis of the respiratory signal, the heart failure diagnosis device (10) being provided with a signal correction unit (12). And a signal correction unit (12) that corrects the detection signal so that the maximum value of the primary frequency component of the respiratory waveform in the power spectrum is 1.5 times or more of the maximum value of the secondary frequency component of the respiratory waveform, thereby forming the respiratory signal.

The invention provides a respiration rate monitoring system. The respiration rate monitoring system comprises a data fusion module, a data reconstruction module and a respiration rate calculation module; the data fusion module is used for receiving multi-dimensional monitoring signals and conducting dimension reduction fusion on the multi-dimensional monitoring signals to obtain dimension reduction fusion data; the data reconstruction module is connected with the data fusion module and used for reconstructing the dimension reduction fusion data by using a graph model to obtain reconstructed data; and the respiration rate calculation module is connected with the data reconstruction module and used for determining an effective wave crest in the reconstructed data and calculating a respiration rate in combination with a signal sampling frequency to automatically monitor a respiratory rate of a user.

The embodiment of the invention provides anesthesia breathing equipment and a breathing circuit compliance detection method.The anesthesia breathing equipment comprises a breathing circuit, a pressure sensor, a flow sensor, an airflow driving device and a controller, the controller is used for controlling the airflow driving device to convey gas to the breathing circuit, and the pressure sensor is used for detecting the compliance of the breathing circuit; the air pressure in the breathing loop is converted from the first preset air pressure to the second preset air pressure; acquiring a plurality of first flow sensing values, a plurality of first pressure sensing values and a pressure change value in the process of converting the first preset air pressure into the second preset air pressure, and acquiring a gas volume accumulated value in the process of converting the first preset air pressure into the second preset air pressure according to the plurality of first flow sensing values; according to the first pressure sensing value, the gas leakage amount of the breathing circuit in the process of converting the first preset air pressure into the second preset air pressure is calculated; according to the gas leakage amount, the gas volume accumulated value and the pressure change value, the compliance measurement value of the breathing circuit is obtained.