102 results about "Heart frequency" patented technology

An apparatus for a heart assist device, comprising a processing unit for computing the blood flow rate from the arterial pressure curve and for predicting at every heartbeat the closing time of the heart valve from the curve of the blood flow rate. The processing unit is adapted to deliver a signal for controlling a heart assist device at a point in time, a period ahead in time of the closing time of the heart valve, wherein the mechanical properties of the said heart assist device are taken into account in determining the period. The apparatus adapts itself to changes in a patient's heart frequency and aortic pressure.

Methods and software for self-gating a set of images. In exemplary embodiments, a fundamental heart frequency of the patient can be measured without the use of an ECG signal. In one method, the fundamental heart frequency can be determined by analyzing the size of the heart in the images. In another method, the fundamental heart frequency can be determined by applying a Fourier Transform. The measured fundamental heart frequency can thereafter be used to select slice images from the image scan for creation of a sagittal or coronal projection image. In exemplary embodiments, the resultant projection image can be used for coronary calcium detection and scoring.

The invention provides a heartbeat frequency detection algorithm of a non-contact vital sign detection system; the steps are: respectively doing bandpass filtering for I and Q two way signals outputted by a continuous wave doppler radar; using a center estimate algorithm to carry out useful dc component recovery; using a complete cluster experience modal decomposition algorithm to separate a heartbeat signal from a human body jitter signal, a breathing signal and environment interference noises; resolving a Hilbert marginal spectrum of each decomposition signal and doing peak value detection; finding out the Hilbert marginal spectrum corresponding to the heartbeat signal according to a marginal spectrum peak position and energy concentration degree close to the spectrum peak; obtaining heartbeat frequency information according to the spectrum peak position. The heartbeat frequency detection algorithm can effectively extract the heartbeat signal under unstable human body and large environment interference noises, thus obtaining accurate heartbeat frequency information, improving anti-interference property of the non-contact vital sign detection system, and satisfying heartbeat frequency detection accuracy demands of medical affairs personnel.

PCT No. PCT / GB96 / 00908 Sec. 371 Date Jan. 2, 1998 Sec. 102(e) Date Jan. 2, 1998 PCT Filed Apr. 15, 1996 PCT Pub. No. WO96 / 32158 PCT Pub. Date Oct. 17, 1996An electric or electromagnetic field generator for therapeutic use. A heartbeat signal produced by a user is monitored to derive a signal indicative of the frequency of the user's heartbeat. A generator creates an electric or electromagnetic field based on a combined signal derived from a first signal dependent on the determined heartbeat frequency, and a second signal stimulating the brain activity of the user. The device may be worn by the user, on an ongoing basis. The second signal may be modified to provide a train of pulses having a width substantially equal to a neuron depolarization pulse to improve the user's response to the signal.

The invention discloses a non-contact driver fatigue detection method based on a millimeter-wave radar. A millimeter-wave radar is used to collect a thoracic cavity vibration signal of a driver in a driving process; after the thoracic cavity vibration signal is preprocessed, the heart rate signals and respiratory signals of different frequency bands are separated; the heartbeat frequency and the respiratory frequency of the separated heart rate and respiratory signals are calculated by adopting a wavelet transform method, and seven derived physiological characteristics are calculated; by exploring the change rule of the physiological features along with time, the physiological features are found to show a good linear change trend along with accumulation of driving time; and the random forest algorithm based on Bayesian optimization effectively discriminates occurrence of fatigue time, and algorithm accuracy can be improved compared with algorithm accuracy of an original random forest model. According to the invention, the discomfort brought to a driver when the driver wears various devices to carry out physiological signal detection is solved, detection cost is reduced, the fatiguemoment of the driver can be accurately predicted, fatigue early warning is sent to the driver, and therefore, the traffic accident rate caused by fatigue is reduced.

The invention discloses a radar based respiration and heartbeat signal detection method and system. The method comprises the steps of A, judging whether a target exists based on a transmitting signaland a receiving signal; and B, performing the following processing on a mixed vital sign signal of the target: B1, performing high-pass filtering and FFT on the mixed vital sign signal to obtain firstfrequency spectrum data; B2, if the frequency corresponding to a maximum amplitude value point is within a respiratory frequency range and the maximum amplitude value point exists at a Q frequency doubling position and / or near the Q frequency doubling position of the frequency, taking the frequency as a respiratory dominant frequency; B3, decomposing the mixed vital sign signal of the target based on empirical wavelet transform; and B4, if the maximum value frequency of a third component or a fourth component is within a preset heartbeat frequency range, taking the maximum value frequency asa heartbeat dominant frequency. Based on the empirical wavelet transform, respiration and heartbeat signals are adaptively separated and the frequencies of the respiration and heartbeat signals are accurately extracted, and the respiration and heartbeat frequencies of multiple persons can be simultaneously extracted and separated for a broadband / ultra-wideband radar.

The invention discloses a millimeter wave radar device, method and system for vital sign monitoring. The millimeter wave radar device comprises a millimeter wave radar sensor module and a data processing module. The millimeter wave radar sensor module sends a radar signal to the surface of the thoracic cavity of a target human body and receives returned echo signals; and the data processing modulecalculates distance information of fluctuation of the surface of the thoracic cavity in unit time according to the echo signals, extracts breathing signals and heartbeat signals according to phase difference signals in the distance information, and obtains breathing frequency and heartbeat frequency according to the breathing signals and the heartbeat signals. Based on an FMCW radar system, radarechoes reflected by the surface of a human body are obtained, electrocardiosignals of the human body are detected by calculating changes of distance information of a target point and micro-motion information of the surface of the human body in unit time, non-contact non-inductive accurate monitoring of respiration and heart rate of the human body is achieved, and the device can be applied to therelated fields of medical treatment, nursing and the like.

An exercise heart rate measure method and a wearable devices with it. The exercise heart rate measure method includes the steps of presetting a heart rate zone including several sub heart rate zones Bi. performing peak value detection to collected heart rate signal and exercise signal to obtain heart frequency, first frequency spectrum peak values, exercise frequency and second frequency spectrum peak values, calculating the first frequency spectrum peak values and the second frequency spectrum peak values to obtain heart rate weight C1 and exercise weight C2, performing ferquency distribution treatment to the heart rate frequency and hte exercise frequency within the preset time according to the preset heart rate zone to obtain heart rate frequency probability density P (Qi) in every sub heart rate zone Bi, and exercise frequency probability density P (Gi); calculating the heart rate on the basis of the P (Qi), the P (Gi) and average value thereof, the C1 and the C2 as input quantities for weighted average calculation.

The invention discloses a lie detection method and device. The method comprises the following steps that S1 a mobile phone sends ultrasonic signals to a detected user and receives reflected ultrasonic signals; S2 the mobile phone processes the received ultrasonic signals and converts to obtain heartbeat frequency, respiratory frequency, blood pressure changes and temperature changes; and S3 the mobile phone judges whether the detected user tells a lie or not according to the heartbeat frequency, the respiratory frequency, the blood pressure changes and the temperature changes, and the mobile phone raises the alarm when the detected user tells a lie. The lie detection method and device can use the mobile phone to detect whether the user tells a lie or not, and the lie detection device is simple in structure, small in size, simple in operation and convenient to use.

The invention relates to a wearable vital sign monitoring device. A laser light source of the wearable vital sign monitoring device is used for emitting laser to a sensing optical fiber; two ends of the sensing optical fiber are respectively connected with a laser light source and a photoelectric conversion module; the sensing optical fiber is bent after bearing the pressure of pulse or breathingor heartbeat movement of a human body, and a laser signal transmitted in the sensing optical fiber is lost at a bent part and is modulated based on a bending loss principle; the photoelectric conversion module is used for converting the modulation signal of the laser bending loss output by the sensing optical fiber into an electric signal representing the pulse or breathing or heartbeat movement of the human body; and a vital sign signal extraction module is used for extracting the corresponding human body pulse or breath or heartbeat frequency from the electric signal representing the human body pulse or breath or heartbeat movement. According to the invention, the vital sign information of the human body can be accurately monitored in real time.

The invention discloses a narrow-beam millimeter-wave human heartbeat / respiratory sign monitoring device with controllable irradiation direction. The device comprises a millimeter-wave radar, a millimeter-wave lens antenna, an AD acquisition card, an intelligent beam control mechanism and upper computer software, a specially-made narrow-beam low-sidelobe small-size millimeter wave antenna lens is additionally arranged at the front end of a radar receiving and transmitting antenna, so that the signal-to-noise ratio of a radar receiver is improved. The direction of a main beam of a radar device is changed through a beam control mechanism, and the maximum position of the monitored human body surface heartbeat amplitude is automatically searched for according to the amplitude characteristics obtained after phase demodulation of intermediate frequency signals of the radar receiver. The device reduces the influence of respiratory harmonics and clutters on heart rate discrimination, improves the heart rate measurement precision, is suitable for single-person or multi-person monitoring, achieves the precise measurement of respiratory and heartbeat frequencies under the condition of no contact with a human body, can recognize the abnormal physiological states of arrhythmia, respiratory failure and the like, improves the accuracy of heart rate measurement, has an application prospect in the aspect of clinical dynamic monitoring of critical patients with infectious diseases and burns, and is also used for vital sign monitoring in daily life.

The invention provides a non-contact far-field multi-human respiration heart rate monitoring method based on millimeter waves. The method comprises the following steps: performing micro Doppler operation on a monitored millimeter wave signal, and demodulating operation data into micro distance frequency spectrum data and micro angle frequency spectrum data; separating the two kinds of frequency spectrum data by adopting a band-pass filter; constructing a distance set and an angle set based on the micro-distance spectrum data and the micro-angle spectrum data, wherein the distance set is used for storing multi-target human body signal data of the corresponding distance, and the angle set is used for storing multi-target human body signal data of the same distance and the corresponding angle; and calculating respective respiratory frequencies of the multi-target human bodies in each distance set and each angle set based on wavelet transform, and calculating respective heartbeat frequencies of the multi-target human bodies in each distance set and each angle set based on a clustering density algorithm. The method has the advantages that: remote monitoring can be achieved, multiple target human bodies can be monitored at the same time, the accuracy of human heart rate and respiration monitoring results is high, and the reference significance of the monitoring results is large.

The invention discloses a respiratory and heartbeat signal detection method and device. The method includes the following steps: obtaining echo signals reflected when electromagnetic wave signals emitted by a radar encounter obstacles; extracting target echo signals from the echo signals, wherein the target echo signals are the signals reflected when the electromagnetic wave signals encounter the chests of human bodies; extracting the respiratory signals and heartbeat signals of human bodies from the target echo signals; and determining the respiratory frequencies of the human bodies according to the respiratory signals, and determining the heartbeat frequencies of the human bodies according to the heartbeat signals. Thus, the technical problems of low accuracy rates of existing human body respiratory and heartbeat detection methods can be solved.

The invention discloses a heartbeat frequency adjusting method and a server, and belongs to the field of Internet of Things communication. In the present application, the server can acquire subscription service information of a first terminal, acquire target log data associated with a service indicated by the subscription service information from a plurality of log data according to the subscription service information, estimate a push probability of a service message according to the target log data, and then adjust a heartbeat frequency according to the push probability. Therefore, the center hop frequency can be adjusted according to the pushing probability, and compared with the prior art that a fixed heartbeat frequency is always adopted, the problems that when the adopted heartbeat frequency is high, the load pressure of the server is too high, and consumed flow is too high can be avoided. Meanwhile, the problem that when the adopted heartbeat frequency is low, whether connectionis available or not cannot be detected in time, and consequently the arrival rate of message pushing is low can be solved.

The invention provides a data collection and analysis system for a combat game. The data collection and analysis system comprises a data collection device and a data receiving device, wherein the data collection device is a wearable device comprising a sensor and a first communication module; the sensor comprises a magnetometer, a gyroscope, an accelerometer, a clock module and a heart rate sensor; the data receiving device comprises a data storage module and a second communication module; the data collection device obtains limb pointing data through the magnetometer, obtains limb rotating speed data through the gyroscope, obtains limb acceleration data through the accelerometer and obtains a heart rate frequency of a collected object through the heart rate sensor during data collection; the data collection device calculates striking force according to a preset value of the limb weight of a collection point and the limb acceleration data; the data collection device uploads collected data to the data receiving device and calculates the collected data. Measurement and collection of motion data can be carried out on the combat game in a non-impact contact manner.

The invention discloses a system of converting a heartbeat signal into music. The system comprises a heartbeat signal recorder, a signal storage apparatus, a signal processing apparatus, a signal transmission apparatus and a data editing computer. Through the system of the invention, a heartbeat frequency is converted into the music. Firstly, a person needs to wear a small size ECG recorder for a period of time so as to acquire a needed numerical digit signal; and then a computer is used to analyze time of a heartbeat interval and generate a time sequence, and composition can be performed. During an actual operation process, heartbeat music has different rhythms according to a physiological state and changes come from nervous system adjusting so that the composed music can cause resonance of the mind and body, gentle mood and relax anxiety.

The invention discloses a life signal feature extraction method based on line spectrum tracking. The life signal feature extraction method includes the steps that modeling is performed on a target chest motion; N frequency-modulated signals are continuously transmitted by a radar, frequency mixing is performed on echo signals to obtain an IF signal and obtain a target phase, and a phase vector phiof length N is formed; STFT is performed on phi to obtain a time-frequency spectrum matrix P<s>; a first HMM model gamma <1> is constructed; the P <s> is divided into Q groups, each group of data isused as an observed quantity sequence, and a Viterbi algorithm is adopted to calculate an optimal state sequence corresponding to the gamma <1> observed quantity sequences to obtain frequency units inwhich the breathing frequency is located at each moment; elements of multiple harmonic components, corresponding to the breathing frequency, in the P<s> are set to be zero, a second time-frequency spectrum matrix P'<s> is obtained, and a second HMM model gamma <2> is constructed; and the P'<s> is divided into Q groups, each group of data is used as an observed quantity sequence, and the Viterbi algorithm is adopted to calculate an optimal state sequence corresponding to the gamma <2> observed quantity sequences to obtain frequency units in which the heartbeat frequency is located at each moment. According to the life signal feature extraction method based on line spectrum tracking, the breathing frequency and heartbeat frequency of a target can be accurately extracted without contact.

The invention provides a signal processing method for health monitoring and a signal processing device. The signal processing method comprises the steps: receiving radar wave signals reflected from a target person, so as to obtain vibration phase signals of the target person; filtering respiratory signal harmonics from the vibration phase signals through a moving-target-detection-based filter; and estimating heartbeat frequency of the target person from the phase signals obtained after the respiratory signal harmonics are filtered. The signal processing device comprises a radar signal module and a signal processing module. The radar signal module is configured for receiving the signals reflected from the target person so as to obtain the vibration phase signals of the target person. The signal processing module is configured for filtering the respiratory signal harmonics from the vibration phase signals through the moving-target-detection-based filter, and estimating the heartbeat frequency of the target person from the phase signals obtained after the respiratory signal harmonics are filtered.

The invention discloses a control system and device for a vehicle-mounted recognition alarm device with a millimeter-wave radar. The millimeter wave radar is arranged on the device. When the device detects a vehicle door opening and closing signal, the millimeter-wave radar is used for automatically identifying the identity of a vehicle entering and exiting person in combination of a database according to the height, body shape and size of the vehicle entering and exiting person, and continuously acquiring movement track data of different persons in the vehicle; the number and composition of persons in the vehicle can be mastered in real time by using the data; when only babies, children and pets are in the vehicle or only moving tracks of the babies, children and pets are in the vehicle,prompts of different degrees are given, and in addition, the millimeter wave radar is used for judging whether persons in the vehicle are in emergencies such as morbidity, stuffiness and retention ornot according to comparison of breathing frequency and heartbeat frequency data of the persons in the vehicle and data in the database.

The invention discloses a heart rate detection method based on a depth camera and a millimeter wave radar, and relates to the technical field of heart rate detection.The heart rate detection method comprises the steps that an original depth image of a human body is obtained, segmentation processing is conducted based on the original depth image, and a thoracic cavity area of the human body is obtained; calculating an average value of pixel values in the thoracic cavity region on the original depth image to obtain a thoracic cavity region distance value; the radar determines a physiological signal distance range according to the thoracic cavity area distance value, obtains thoracic cavity vibration signals in the physiological signal distance range, separates the thoracic cavity vibration signals to obtain heart rate signals and respiration signals, obtains heartbeat frequency and respiration frequency, and respectively outputs the relationship between the heartbeat frequency and the time and the relationship between the respiratory frequency and the time. According to the arrangement, the original depth image segmentation processing and the millimeter wave radar detection technology are combined, so that the detection range of the radar is reduced, and the accuracy of radar detection and heartbeat frequency measurement is improved.

The invention discloses a method for monitoring vital signs of multiple moving persons based on a millimeter wave radar. The method comprises the following steps: transmitting linear frequency modulation continuous waves through the millimeter wave radar, detecting the multiple moving persons, receiving echoes by a receiving antenna, carrying out mixing to obtain an intermediate frequency signal, storing a radar signal in a fast time-slow time format, and performing FFT processing in the fast time direction to perform distance measurement to obtain echo data in a distance-slow time form. According to the method disclosed by the invention, the influence of human body translation on the phase is removed in the time-frequency domain through wavelet transform, the phase sequence of each target echo is extracted separately, the phase unwrapping is performed, heartbeat signals and breathing signals with different frequency bands are separated by an intermediate frequency filter, the heartbeat frequency and the breathing frequency are calculated separately through the FFT, and thus, the circumstance that the millimeter wave radar can accurately detect the heartbeat and the breathing of the human body due to the additional phase change of the radar echoes caused by the movement of the human body can be prevented.

A electronic vital-sign monitoring system is provided here, which uses an external electronic device to compute a physiological value detected by an electronic vital-sign monitoring device and obtain a heart frequency spectrum; and provide power to the electronic vital-sign monitoring system; and further transfer the computed physiological value and the heart frequency spectrum to a database for data integration and incident reporting. In addition to the original function of detecting physiological values, the electronic vital-sign monitoring system further can detect heart frequency spectrum and offers telecare service to help patients, elders and general users according to different requirements.

The invention discloses an automatic message sending smart bracelet. The automatic message sending smart bracelet comprises a measurement module and a bracelet module, wherein the bracelet module comprises a bracelet body, a connecting unit and a hook-loop unit; the measurement module comprises a case, a circuit board, a power source, a vibration sensor and a temperature sensor; the circuit boardis provided with a timer, a signal receiving module, a signal processing module, a signal transmission module and a WiFi (wireless fidelity) module. The automatic message sending smart bracelet is manufactured through integrated forming and accordingly is high in integral tenacity; being attached to skin, the measurement module is convenient to mount and meanwhile capable of avoiding falling off;no matter whether a user is in normal activities or sleep, the automatic message sending smart bracelet can collect the heartbeat frequency and the surface temperature of the user and transmit collected data to a nurse station; meanwhile, nurses can read related data by scanning a QR (quick response) code on the automatic message sending smart bracelet to achieve convenience.

The invention discloses an intelligent wearable device and an intelligent wearable control system. The intelligent wearable device comprises a shell, an electric control board, a heart rate sensor anda main controller, wherein the shell comprises a bottom shell and an upper cover, and the bottom shell and the upper cover are enclosed to form an accommodating space; at least part of the bottom shell is transparent; the electric control board is accommodated in the accommodating space; the heart rate sensor is arranged on the electric control board and corresponds to the transparent part of thebottom shell; and the main controller is arranged on the electric control board and electrically connected with the heart rate sensor, and the main controller is configured to output an electric signal representing the heartbeat frequency after performing signal processing on a heart rate signal acquired by the heart rate sensor. According to the invention, the heart rate sensor is integrated onthe electric control board, and a flexible circuit board or a wire and the like are not required to be electrically connected with the main controller, so that the overall space inside the intelligentwatch shell can be saved, the battery capacity is increased, or the overall space inside the intelligent watch is made small, and the product is made thin as a whole.

The invention discloses a weight reducing sling based on an embedded human vital sign monitoring sensing system. A sensor is mounted on the weight reducing sling to monitor human signs of a user; themonitoring sensing system comprises a vital sign acquisition unit, a data processing unit and a monitoring unit; the vital sign acquisition unit detects human vital sign signals by body temperature, respiration, blood pressure and heartbeat frequency sensors and transmits acquired analog signals to the data processing unit; and the data processing unit performs preprocessing such as denoising andamplification on received signals in an embedded processor, obtains digital signals of vital signs by A / D conversion and sends the signals to the monitoring unit. The weight reducing sling can measurephysiological sign data timely, professionals guide use conditions of data correctly, quantified real-time data are provided for medical workers, comprehensive patient condition diagnosis basis is provided for medical workers, and medical study and teleconsultation are facilitated.

The invention discloses a miocardial infarction monitor which consists of a sensing amplifying shaping circuit, a frequency / voltage conversion circuit and an audio oscillation alarming circuit. The sensing amplifying shaping circuit comprises a piezoceramics, two inverters, two resistances and an LED; the frequency / voltage conversion circuit comprises a 555 time base integrated circuit which forms a monostabillity delay circuit together with a resistance, a capacitance and a trigger dynatron. The audio oscillation alarming circuit and an oscillation clearance are controlled by the PWL or the pulse of the output end of the 555 time base integrated circuit. When a cardiac rate is faster than 48, the miocardial infarction monitor does not alarm, but the LED and the cardiac rate twinkle and display synchronously; when the cardiac rate is slower than 48, the miocardial infarction monitor controls the clearance for alarming; the clearance rate and the cardiac rate are synchronous; when the cardiac rate suddenly stops, the miocardial infarction monitor ceaselessly and continuously alarms.

The invention provides an intelligent early warning pillow based on respiration and heart rate, a method, an electronic device and a medium. The intelligent early warning pillow comprises a pillow main body and a monitoring and early warning system, wherein the monitoring and early warning system comprises a respiratory rate sensing device, a heartbeat frequency sensing device and an early warningdevice. The respiratory rate sensing device and the heartbeat frequency sensing device are arranged in the pillow main body; the early warning device monitors the respiratory rate of a human body inreal time through the respiratory rate sensing device, monitors the heartbeat frequency of the human body in real time through the heartbeat frequency sensing device, judges the current physical condition of the human body according to the respiratory rate and heartbeat frequency of the human body and sends out a corresponding prompt signal according to the current physical condition of the humanbody. Therefore, the acute disease causing obvious changes of the respiratory rate and the heartbeat frequency can be warned in time, and more time is gained for disease treatment. The intelligent early warning pillow is particularly suitable for old people or people easily inducing acute diseases.

The invention discloses a method and device of detecting human vital signs based on ultra-wideband radar. The method comprises the steps of acquiring multiple first echo signals of normal human breathand / or heartbeat and multiple second echo signals of abnormal human breath and / or heartbeat through ultra-wideband radar, preprocessing the signals, and extracting to obtain a normal detection sequence and an abnormal detection sequence; setting a convolutional neural network; training the convolutional neural network based on the normal detection sequence and the abnormal detection sequence; detecting breath and / or heartbeat of a current detection subject through the trained convolutional neural network, and outputting the results of whether the heartbeat is normal. The device herein comprises a signal processing module, a convolutional neural network setting module, a training module and a detection module. The method and device have the advantages that deep learning helps improve the accuracy of detecting heartbeat frequency, the capacity to distinguish normal heartbeat and abnormal heartbeat is improved, and real-time detection is distinguished accurately.

The invention relates to patient physique monitoring, in particular to a patient physique monitoring system based on data acquisition. The system comprises a monitoring end, a patient end and a doctorend, and is characterized in that the monitoring end comprises a physiological data monitoring module, a physiological data storage module, a weather environment monitoring module, a physiological data sending module for sending physiological data to the patient end, a breath monitoring module used for monitoring the breath frequency of a patient, a heartbeat monitoring module used for monitoringthe heartbeat frequency of the patient, and a data packaging and sending module used for packaging and sending the breath frequency, the heartbeat frequency and weather environment factors to the patient end; and according to the technical scheme, the defects that in the prior art, the health condition of the patient in the rehabilitation process cannot be mastered in time, and the cerebral apoplexy patient cannot be effectively monitored according to weather and environment factors can be effectively overcome.