68 results about "Heart rate variation" patented technology

The invention provides an electrocardiosignal processing method and an electrocardiosignal processing system which are applicable to the technical field of data processing. The electrocardiosignal method includes: collecting electrocardiosignals; preprocessing collected electrocardiosignals; disintegrating preprocessed electrocardiosignals into single-cycled electrocardiosignal groups and subjecting each single-cycled electrocardiosignal in the single-cycled electrocardiosignal groups to normalization processing; performing the single-cycled electrocardiosignal subjected to the normalization processing to polynomial fitting to acquire fitting parameters; allowing pre-established disaggregated models to perform classification and identification on the electrocardiosignals according to the fitting parameters to acquire identification results. The polynomial fitting parameters adopted as feature vectors of electrocardiosignal classification are better in robustness, and errors brought by baseline drift of the electrocardiosignals and heart rate variation can be effectively avoided through the normalization processing performed on the single-circled electrocardiosignals.

The invention relates to a method, equipment implementing the method, and a computer software product, the method generating exercise instructions for a physical exercise. The method comprises determining the standard condition value of a heart rate parameter in a user-specific performance monitor by measuring the user's heart rate wherein the standard condition value of the heart rate parameter is a function of the standard condition value of the heart rate variation; performing comparison between the standard condition value of the heart rate parameter and a standard condition reference value of the heart rate parameter; and generating exercise instruction information for at least one future physical exercise on the basis of the comparison.

Monitoring apparatus (4) for monitoring a user's heart rate and / or heart rate variation, the apparatus comprising: a capacitor (22) which is position able on or near a body part of a person, for example a person's limb, for example an arm (3), such that an electrical capacitance of the capacitor (22) is influenced by blood pressure pulses of blood running through the body part, wherein the apparatus (4) further comprises a data processor (26) for determining the heart rate and / or heart rate variation from changes in the capacitance of the capacitor (22).

The invention relates to a real-time blood pressure monitoring and timely remote service device with an acceleration transducer and a system thereof. The real-time blood pressure monitoring can be used for dynamically monitoring physiological parameters of human bodies such as blood pressure, heart rate and the like in real time, a pressure-frequency conversion method is used for converting a pressure signal into a frequency signal which has strong anti-interference capacity, thus enhancing the anti-interference capacity of the real-time blood pressure monitoring. An oscillography-based blood pressure measurement improvement algorithm effectively optimizes use of an internal memory space. The acceleration transducer can judge motion state of a tested person and control startup of blood pressure measurement to enhance measurement efficiency and save power. A GSM module sends monitoring data to a remote service platform, the heart rate data of the tested person are analyzed, and the system compares and selects the blood pressure data according to a preset heart rate variation threshold, removes abnormal blood pressure data, and stores the useful data. An intelligent signal analysis and processing program automatically analyzes the blood pressure data and sends alarm information to the tested person at proper time.

The invention provides a bioinformation sesor. In a bioinformation sensor, it is judged whether or not the heart beat can be detected by a steering wheel sensor (step S11); and if not (step S11: No), it is judged whether or not the heart beat can be detected by a seat-installed pressure sensor according to the output from an acceleration sensor (step S12) and according to the range of the heart rate variation acquired from the output from the steering wheel sensor (step S18).

The dynamic characteristic analysis method of real-time tendency of heart state includes: obtaining electorcardiac waveform with multipath electorcardiac amplifier and 12-bit A / D converter; forming time sequence related heart rate variation scatter diagram by means of space-time correlation technology and scatter diagram technology; extracting time sequence related characteristic parameters, short time-real time characteristic conversion illustration parameter and quantized space-time parameter indexes of characteristic illustration via automatic and manual interaction; classifying the illustration and quantized space-time parameters in artificial neural network; and describing dynamic characteristics and relevant invariance characteristics of heart rate variation in a nine-dimensional and a five-dimensional space with two independent curve surfaces and their boundary to represent the heart function.

The present invention relates to a driving comfort based two-lane highway traffic safety evaluation method. In the method, a cooperative oscillation model of driver comfort in the prior art is used as a basis, and the cooperative oscillation model is further optimized according to comprehensive effects of four factors, i.e., a person, a vehicle, a road and an environment, on a heart rate variation rate of a driver to obtain a two-lane cooperative oscillation model. The model uses the heart rate variation rate of the driver as a reference, the heart rate variation rates of different drivers driving under different environmental conditions are analyzed by using a driving simulation chamber; the effects of the environmental factors on the heart rate variation rate of the driver are fully taken into consideration; and therefore a quantitative relationship between the environment factors and the heart rate variation rate of the driver is obtained, achieving higher accuracy.

A fatigue driving monitoring device includes a detector wearable on any part of a driver's body and a receiver disposed in the body of a vehicle or mounted in the body of the vehicle in a plug-in manner. The receiver is connected to the detector. The detector serves to detect the physiological data of the driver, such as heart rate, blood oxygen, heart rate variation and blood pressure. The physiological data are transmitted to the receiver via a transmission system and then the main control motherboard of the detector calculates, evaluates, analyzes and judges the current fatigue state of the driver. In case the detector detects that the driver is in a high-fatigue state or reaches a warning value, the receiver immediately actively emits a warning signal to remind the driver and a message is also transmitted to a control center to perform proper action.

The embodiment of the invention provides a detection method and device for atrial fibrillation. The method includes the steps that all R-R intervals in all signal units in an ECG signal to be detected are obtained; according to heart rate variation features reflected by the R-R intervals in all the signal units, whether all the signal units are at a suspected atrial fibrillation stage or not is judged; for the signal unit which is already determined to be at the suspected atrial fibrillation stage, all the R-R intervals in the signal unit are analyzed and processed through a presetting algorithm so that whether atrial fibrillation happens in the signal unit or not can be determined; for the boundary between the signal unit where atrial fibrillation is determined to happen and the signal unit where atrial fibrillation is determined not to happen in the ECG signal to be detected, all the R-R intervals in a signal section containing the boundary are extracted; according to the heart rate variation features reflected by all the R-R intervals in the signal section, the ECG signal to be detected is determined to be located on the atrial fibrillation boundary in the signal section. According to the technical scheme, the atrial fibrillation position of the ECG signal is detected, the detection process is simple, and the atrial fibrillation boundary can be accurately positioned.

The invention relates to a system and a method for implementing detection on a pulse and a heart rate and monitoring on an emotion and a fatigue degree. The system comprises an optical detection module, a pulse wave signal calculation module, a heart rate and heartbeat interval calculation module, a heart rate variation index calculation module and an emotion and fatigue degree estimation module, wherein the optical detection module is used for detecting information about skin surface light intensity variation caused by variation of a blood-flow volume in blood vessels of a user after light of at least one LED (Light-Emitting Diode) irradiates the surface of skin; the pulse wave signal calculation module is used for acquiring a pulse wave signal according to the light intensity variation information; the heart rate and heartbeat interval calculation module is used for calculating the heart rate and interval time of each stroke of heartbeat; the heart rate variation index calculation module is used for carrying out analysis on a heart rate or heartbeat time interval sequence to obtain related indexes of heart rate variation; the emotion and fatigue degree estimation module is used for estimating the fatigue degree and the emotion state according to the related indexes of the heart rate variation. The system and method for implementing detection on the pulse and the heart rate and monitoring on the emotion and the fatigue degree, which adopt the structure, are greatly improved in comfort and convenience, are economic and practical and have a wider application range.

The invention discloses a portable sentiment analyzer and a sentiment analysis method. The portable sentiment analyzer comprises a heart rate variation sensor for acquiring heart rate signals of a tested target, a skin conductivity sensor for acquiring skin conductivity signals and a center control system for receiving and processing the signals. The sentiment analysis method includes acquiring physiological signals of the tested target and judging sentiment changes of the tested target according to information reflected from the physiological signals, so that doctors can interfere in negative physiological states of patents according to sentiment changes of the patents, and physiological treatment effect is better.

Method and system for non-linear modeling of physiological behavior, such as R-R intervals, in implantable devices, such as a rate responsive pacemakers, comprising a comprehensive modeling and optimization methodology based on fractional calculus and constrained finite horizon optimal control theory that allows for allows for fine-grain optimization of pacemaker response to heart rate variations; and the theoretical basis on which a hardware implementation of the fractional optimal controller that can respond to changes in the heart rate dynamics. Present invention describes a fractal approach to pacemaker control based on the constrained finite horizon optimal control problem. This is achieved by modeling the heart rate dynamics via fractional differential equations. Also, by using calculus of variations, the invention describes how the constrained finite horizon optimal control problem can be reduced to solving a linear system of equations. Finally, the invention describes the theoretical basis on which a hardware implementation become possible.

A monitoring apparatus (4) monitors a user's heart rate and / or heart rate variation. The apparatus includes a capacitor (22) which is positionable on or near a body part of a person, for example a person's limb, for example an arm (3), such that an electrical capacitance of the capacitor (22) is influenced by blood pressure pulses of blood running through the body part. The apparatus (4) also includes a data processor (26) for determining the heart rate and / or heart rate variation from changes in the capacitance of the capacitor (22).

A health care system and method using human body indexes acquired from human body information are disclosed. The present health care method includes receiving human body information, calculating a human body index based on the received human body information, generating a health care program based on the calculated human body index and providing the generated health care program to a user. By this system and method, it becomes possible to measure and monitor stress / fatigue / health indexes of a user in living environments, thereby effectively supporting well-being life of the user.

A method and instrument for detecting and analyzing the predication degree index of cardiacrhythm variability features that the predication degree is used as the index of detecting and analyzing cardiac rhythm variability. Said method includes such steps as using dynamic electrocardiograph to record cardioelectric signals, automatically recognizing dynamic cardioelectric RR gap, forming time sequence RRi, and calculating non-linear predication degree PI.

Monitoring apparatus (4) for monitoring a user's heart, the apparatus comprising several sensors (14, 16) for measuring changes in an electrical parameter of a user's arm (20), from which changes an electrocardiogram, heart rate and / or heart rate variation of the user's heart are determinable. The apparatus further comprises a data processor (28) for determining the electrocardiogram, the heart rate and / or heart rate variation from the changes the electrical parameter; and an output device (32) for making knowable to the user the electrocardiogram, heart rate and / or heart rate variation. A basic idea of the present invention is, to use only a single wristband, particularly a wrist watch, having all the means to monitor the user's heart, without using for example a chest band. Herein, the single wristband is at least provided with the at least one sensor and particularly also comprises the data processor, and more particularly also comprises the output device.

The invention provides a water heater system. The water heater system comprises wearable intelligent equipment and a water heater, the wearable intelligent equipment comprises a heart rate detection module which detects heart rate data of a user in bath, the water heater communicates with the wearable intelligent equipment and used for analyzing the heart rate data of the user in the bath so as to generate a heart rate variation analyzing result and adjusting the temperature of output hot water according to the heart rate variation analyzing result. The water heater system has the advantage that accidents resulted from abnormality of heart rate variation of the user in the bath can be avoided to a certain degree. The invention further provides the wearable intelligent equipment, the water heater and an output hot water temperature adjusting method.

The embodiment of the invention discloses a method and device for acquiring a heart rate variation characteristic parameter. The method comprises the following steps of: calculating and obtaining a heart rate variation signal in a time domain according to a human physiological signal; carrying out time-frequency conversion on the heart rate variation signal in the time domain, and selecting a power spectrum subsequence reflecting heart rate variation from a converted power spectrum sequence according to a frequency characteristic of the heart rate variation; accumulating power values at frequency points upwards from a lowest frequency point of the power spectrum subsequence, and accumulating power values at frequency points downwards from a highest frequency point to obtain a first frequency point when the ratio of the accumulated power value to the total power value is more than a low frequency search ratio and a second frequency point when the ratio of the accumulated power value to the total power value is more than a high frequency search ratio; and obtaining the difference between the second frequency point and the first frequency point to obtain the frequency band width of the power spectrum subsequence, and the frequency band width is the characteristic parameter. According to the embodiment of the invention, the characteristic parameter can reflect periodic variation of the heart rate variation and also can reflect a position relationship between a main peak value and a secondary peak value.

The present invention provides an apparatus for measurement of heart rate variability, comprising a main body of a earphone to be inserted into a patient's ear, a light source disposed on one side of the main body, emitting light projected onto the skin of the patient's ear, and a sensor disposed on the same side of the main body with the light source, receiving a reflection light from the skin of the patient's ear, and accordingly generating and transmitting a sensing signal to an analyzer for measurement of the heart rate variability. Thus, the heart rate variability of the patient can be measured by operation of the light source and the sensor when the patient is listening to the music through the earphone. In this way, true heart rate variability, without being affected by the patient's nervousness or impatience, can be derived.

The embodiment of the invention provides an emotion recognition method and device, computer equipment and a computer readable storage medium. The embodiment of the invention belongs to the technical field of image processing. The method comprises the following steps of: acquiring a plurality of fingertip images corresponding to fingertips; converting the formats corresponding to the fingertip images to obtain PPG signals corresponding to the fingertip images; extracting heart rate features and heart rate variation features from the PPG signals through a preset neural network model; according to the heart rate features and the heart rate variation features, obtaining an emotional state index corresponding to the PPG signals; and obtaining an emotional state corresponding to the emotional state index according to the emotional state index and a preset matching relationship between the emotional state index and the emotional state. According to the embodiment of the invention, the emotional state index is obtained according to the fingertip images, so that the emotional state is obtained, the objectivity of emotion recognition is improved, and the efficiency of emotion recognition canbe improved.

A health care system and method using human body indexes acquired from human body information are disclosed. The present health care method includes receiving human body information, calculating a human body index based on the received human body information, generating a health care program based on the calculated human body index and providing the generated health care program to a user. By this system and method, it becomes possible to measure and monitor stress / fatigue / health indexes of a user in living environments, thereby effectively supporting well-being life of the user.

There is provided electronic device, comprising: a receiving unit configured to receive heart rate data generated by a heart rate measuring system; a calculation unit configured to calculate heart rate variation data on the basis of the received heart rate data. The electronic device further comprises: a processing unit configured to analyse the calculated heart rate variation data in comparison with the corresponding heart rate data, and to determine at least one threshold value for fat burning on the basis of the analysis.

The invention provides a pain assessment method combining heart rate variation features and facial expression features. According to the invention, the expression feature information and the heart rate variation feature information are merged into a pain fusion feature set, and input into a SVR regression classifier for training and learning, a facial expression image sequence and the heart rate data of a patient to-be-evaluated are collected to generate a pain fusion feature set to-be-tested, and sent to a trained SVR classifier for regression prediction to complete the assessment of pain level. The pain assessment method of the fusion heart rate variation feature and the facial expression feature of the present invention can not only quickly and accurately evaluate the pain level, but also eliminates interference of light, the facial features, the physiological response characteristics, the pain tolerance and other factors on pain expression recognition, and improves the accuracy androbustness of pain assessment.

The invention relates to a heart rate measuring apparatus and a method, adapted for measuring a subject's (6) heart rate and / or heart rate variation. The heart rate measuring apparatus (1) comprises a holder (2) adapted for carrying a portion of a body part of the subject (6) lying on or resting against the holder (2), a motion sensor (4) operatively connected to the holder (2), wherein the holder (2) is adapted for being at least partly moveable in a horizontal direction relative to the ground (7), the motion sensor (4) being adapted for measuring a signal generated by a movement of the subject (6) at least partly in the horizontal direction. In this way, a reliable signal is obtained adapted for measuring the heart rate and / or heart rate variation of a subject while keeping the implementation costs low.

The invention relates to a method, equipment implementing the method, and a computer software product, the method generating exercise instructions for a physical exercise. The method comprises determining the standard condition value of a heart rate parameter in a user-specific performance monitor by measuring the user's heart rate wherein the standard condition value of the heart rate parameter is a function of the standard condition value of the heart rate variation; performing comparison between the standard condition value of the heart rate parameter and a standard condition reference value of the heart rate parameter; and generating exercise instruction information for at least one future physical exercise on the basis of the comparison.

A method for real-time detection of the mental stress state during speech through heart rate measurement is disclosed. The method comprises the steps of electrocardiosignal acquisition, R wave positioning, calculation of the heart rate, calculation of respiratory sinus arrhythmia indexes, calculation of heart rate variation indexes, and calculation of the heart rate mean value. In the non-strenuous exercise state, a short RR interval mean value and a small heart rate variation rate are shown, and (or) the situation that RR intervals are continuously lengthened or continuously shortened for many times in the adjacent intervals due to shallow and slow breathing, and it is suggested that a speaker is in a mental stress state. Particularly, the continuous variable lengthening or continuous shortening of the RR adjacency intervals occurs many times only during the speech period, which usually indicates that the speaker is in a weak mental stress state; when the first two features or all three features occur, it is suggested that the speaker is in a strong mental stress state; and when the three features do not occur, it is prompted that no mental stress occurs to the speaker. Through the detection of the small RR interval mean value, the low heart rate variability and the sinus arrhythmia indexes caused by shallow and slow breathing, and a empirical threshold method or a classical classifier is adopted, so that the method for real-time detection of the mental stress state during speech is obtained.

The invention discloses a method for estimating heart rate variation. The method comprises the following steps: a, a heart rate measuring instrument is utilized to collect accident-generating signals; b, a voting method is utilized to reconstruct a heartbeat interval in a sampling interval; c, the heartbeat interval is reconstructed in another sampling interval, the two sampling intervals have a stacking interval, and the heartbeat intervals in the two sampling intervals can be connected in series by shared accidents in the stacking interval; d, the step c is repeated until a heartbeat interval sequence with a preset time duration is formed by serial connection; and e, the heart rate variation is calculated by the heartbeat interval sequence obtained in the step d. The method for estimating the heart rate variation can be matched with a uni-lead heart rate measuring instrument for heart rate measurement, utilizes a majority decision voting process to filter noise and can be connected with a heartbeat interval with a preset time duration in series by a Window staking mechanism to further calculate the heart rate variation.

The invention discloses a device for human body vestibular function estimation and training. The device for human body vestibular function estimation and training includes a support, a pedal platformis placed at the side of the support, a protection hood surrounds the outer side of the support, a rotary support body is connected with the upper portion of the support through bolts, a heart distance control part is connected to the upper portion of the rotary support body through bolts, a seat left-right swing part is connected to the upper portion of the heart distance control part through bolts and is connected with a seat through an extrusion shaft, the front end of the seat is connected with a foot support body through a high-accuracy sliding pin roll and an electric push rod, heart rate monitoring parts are mounted on armrests of the seat, an electric appliance control part is connected to the rear side of the rotary support body through bolts, and a smart question answering systemis fixed to the upper portion of the seat through U-shaped bolts. The device for human body vestibular function estimation and training has the advantages that the defect is overcome that due to thelower automation degree of current vestibular function training devices, the training efficiency is low and a single population can be trained; the distance from the heart can be adjusted in real timeaccording to the heart rate variation range, and adjustment can be conducted in real time regarding personal tolerance ability.

The invention relates to a human motion feature analysis method based on smart watch data. The human motion feature analysis method is characterized by comprising the following steps: (1) extracting and analyzing basic data collected by adopting a smart watch and measured data, wherein the measured data comprise steps, calorie and heartbeats; (2) dividing the measured data within a certain measurement time period according to step variation and heartbeat variation, thus obtaining heartbeat data and calorie data when a sampling individual is respectively in a time period under a motion state and a time period under a normal state; (3) analyzing a human motion feature state according to the heartbeat data and the calorie data in the time periods under the motion state and the normal state, thus obtaining a corresponding relation between the motion state as well as the normal state of a human body and the variation of the heartbeats and the calorie. The human motion feature analysis method disclosed by the invention is simple and feasible, a computing result is accurate, and the human motion feature analysis method can be widely applied to the field of analysis on human motion features based on electronic data.

The invention relates to the technical field of heart rate detection, in particular to a self-adaption heart-rate-switching detection method based on a spectral pattern and a wearable heart rate detection device. Electrocardio signals obtained under colored light are subjected to fourier transformation mapping to form a spectral intensity pattern distributed according to the time-frequency point relationship, a time connecting line of user-heart-rate-frequency peak value areas in the spectral intensity pattern serves as a heart-rate variation curve, the effectiveness of heart-rate signal collection of current colored light can be judged through the continuity of the heart-rate variation curve, and optoelectronic signals collected under the current colored light is indistinct; in other words, when the heart-rate variation conditions cannot be clearly reflected, the current colored light is instantly switched into colored light with the higher penetrability for collecting the electrocardio signals to guarantee the continuity and the accuracy of heart-rate detection. For the self-adaption heart-rate-switching detection method based on the spectral pattern, a functional module framework can be combined by establishing functional modules, and implementing is carried out through computer programs stored in a readable storage medium of a computer.