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98 results about "Heart frequency" patented technology

If you are talking about the electrical signals that cause heart to beat, the P and T wave frequency generally ranges between 0.5 and 10Hz and QRS complex frequency between 4 and 20Hz. If you are talking about the heart sound frequency, it is generally between 20 to 500 Hz.

Heartbeat frequency detection algorithm of non-contact vital sign detection system

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.
Owner:WUXI NANLIGONG TECH DEV

Non-contact driver fatigue detection method based on millimeter-wave radar

InactiveCN111657889AComfortable and safe normal driving environmentIntuitive reflection of fatigueDiagnostic recording/measuringSensorsDriver/operatorTraffic crash
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.
Owner:DALIAN UNIV OF TECH

Radar based respiration and heartbeat signal detection method and system

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.
Owner:ARMY MEDICAL UNIV

Millimeter wave radar device, method and system for vital sign monitoring

InactiveCN112472051APrecise monitoring of breathingAccurate heart rate monitoringAssess restrictionSensorsHuman bodyRadar systems
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.
Owner:山东润一智能科技有限公司

Narrow-beam millimeter-wave human heartbeat/respiratory sign monitoring device with controllable irradiation direction

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.
Owner:BEIHANG UNIV

Non-contact far-field multi-human-body respiration heart rate monitoring method based on millimeter waves

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.
Owner:路晟悠拜(重庆)科技有限公司

Life signal feature extraction method based on line spectrum tracking

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.
Owner:SOUTHEAST UNIV

Heart rate detection method based on depth camera and millimeter wave radar

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.
Owner:宁波春建电子科技有限公司

Method for monitoring vital signs of multiple moving persons based on millimeter wave radar

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.
Owner:南京六季光电技术研究院有限公司 +1

Intelligent wearable device and intelligent wearable control system

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.
Owner:SHENZHEN JIN KANG TE INTELLIGENT TECH CO LTD

Intelligent early warning pillow based on respiration and heart rate, method, electronic device and medium

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.
Owner:SHENZHEN ZHENYUAN TIANCHENG TECH CO LTD +1

Non-contact child pain recognition method and system

The invention relates to a non-contact child pain recognition method and system, and the method comprises the steps: continuously detecting the facial micro-expression and body posture of a target infant through a camera, continuously detecting the heartbeat frequency and respiratory frequency of the target infant through radar waves, and further, according to the detected facial micro-expression, the body posture, the heartbeat frequency, the breathing frequency and a preset pain index calculation rule, obtaining the current pain index of the target infant through calculation, then judging whether the current pain index of the target infant is not smaller than a preset early warning threshold value or not, and if the current pain index of the target infant is not smaller than a preset early warning threshold value,sending out an early warning signal; otherwise, not sending out the early warning signal. The camera and the radar waves are responsible for detection work, uninterrupted detection can be achieved, medical workers are liberated, the emergency situation of the baby cannot be missed, the baby can be taken care of more comprehensively, in addition, the subjectivity of manual scoring is eliminated when the pain index is calculated, and the evaluation result is more reliable.
Owner:深圳市医创加科技有限公司
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