39 results about "Heart rate average" patented technology

Pacing systems are disclosed including detectors for detecting the presence of electromagnetic interference and setting an interference state pacing mode and pacing rate. The interference state pacing mode and pacing rate are altered as a function of patient pacemaker dependency and the prevailing mean heart rate. When pacemaker dependency exists, the pacing rate is maintained and even increased from the prevailing mean heart for the duration of the interference state. When the patient is determined to not be pacemaker dependent, pacing is inhibited or suspended for the duration of the interference state.

The present invention relates to an apparatus and method capable of detecting a heartbeat using a photoplethysmography (PPG) even under a motion of a user. A primary object of the present invention is to allow the heartbeat of the user to be effectively detected from a PPG signal even under the motion. The object of the present invention is accomplished by the following process of acquiring the PPG signal from the user through a PPG sensor unit, detecting candidate heartbeat sequences from the PPG signal after calculating an expected mean interbeat interval through a signal processing technique based on the wavelet transformation and an autocorrelation function, and extracting an optimal heartbeat sequence or mean heart rate from the candidate heartbeat sequences.

A method and apparatus for measuring the biological condition of an animal by acquiring and analyzing its biological signals are provided. The biological signals from skin temperature, a photoplenthysmogram (PPG), an electrocardiogram (ECG), electrodermal activity (EDA), an electromyogram (EMG), and an electrogastrogram (EGG) are detected using a biological signal detection unit which is attached to the animal's skin. Feature vectors, including the mean heart rate of the photoplenthysmogram and its standard deviation, the very low frequency, low frequency, and high frequency components of heart rate variability, the frequency and mean amplitude of skin conductance responses, and the mean and maximum skin temperatures, are extracted from the detected biological signals. The biological condition, including needs and emotions, of the animal as to whether or not the animal feels hunger or fear, how much the animal is stressed, or whether or not the animal needs to have a bowel movement, is determined using a pattern classifier which has learned reference vectors, which reflect the behaviors, needs, and emotions of different kinds of animals for various biological conditions and are stored in a predetermined database. Therefore, the biological condition of the animal can be determined through instrumental communication, not through human languages, and the breeding of pets can be efficiently managed.

The invention relates to a wearable heart rhythm monitoring device. The wearable heart rhythm monitoring device comprises a processor, as well as a heart rate sensor, a motion sensor, at least two electrocardioelectrodes, a storage and an electrocardiogram recording module which communicate with the processor, wherein the processor comprises an average heart rate computation module, a normal heart rate variation range computation module, a heart rate classification module and a rapid heart rate motion check module; the storage is used for receiving and storing data information. The wearable heart rhythm monitoring device can be worn by a user for a long time, and the daily life of the user is not influenced; meanwhile, the monitoring device carries out monitoring from the point of view of medical science, can collect all key data including the heart rate, the motion, the electrocardiogram and the oxygen saturation relevant to the arrhythmia, and can automatically monitor and record the arrhythmia incident found in the heart rate monitoring process; the monitoring device automatically analyzes each heartbeat from many dimensions, and accurately classifies the heartbeats, and thus various potential arrhythmia problems are found.

The invention belongs to the field of data identification, particularly relates to a non-contact heart rate measurement method, system and device based on an end-to-end network, and aims to solve theproblem of how to perform non-contact heart rate measurement in a non-contact manner and improve the robustness and generalization ability of the measurement method. The method comprises the steps ofobtaining a to-be-detected video frame sequence containing face information, obtaining a face region-of-interest image sequence through a face detection model based on the to-be-detected video frame sequence, obtaining a face key point position sequence through a face key point model, and obtaining an average heart rate value in a time period through the trained end-to-end double-branch network based on the face region-of-interest image sequence.. The robustness and generalization ability of the non-contact heart rate detection method are improved, the heart rate range capable of being accurately measured is expanded, and the heart rate measurement accuracy is improved.

The invention provides a sleep state judging method, a sleep state judging device, a computer device and a readable storage medium. The sleep state judging method comprises the following steps: acquiring heart rate information and movement information of a user during each preset period within the preset time period, wherein the heart rate information comprises the heart rate average value, heartrate standard value and heart rate variability; and when the movement information is matched with first preset movement information, determining a sleep standard parameter according to the first heartrate average value, wherein the first heart rate average value is the heart rate average value within the first period, and the first period is the preset period corresponding to the movement information. With the technical scheme provided by the invention, the sleep standard parameter is determined according to the heart rate information and movement information the user during sleep, so that the reliability of the judging basis for the sleep state is improved, further, the judging accuracy and convenience for the sleep state of the user are improved, and finally, the use experience of the user is promoted.

The invention provides a cross-modal-mapping-based heart rate estimation method for ballistocardiogram signals. The method is used for solving the technical problem in the prior art that the accuracyof heart rate estimation is relatively low. The method comprises the implementation steps: acquiring the ballistocardiogram signals and heart pulse signals; filtering the ballistocardiogram signals; acquiring a training sample set and a testing sample set by using periodic prior knowledge of the ballistocardiogram signals; constructing a cross-modal mapping model based on periodicity and amplitudecharacteristics of the ballistocardiogram signals; training the cross-modal mapping model; and carrying out calculating by a peak searching algorithm and an average heart rate method, thereby obtaining a heart rate estimated value of the ballistocardiogram signals. According to the method, an idea of cross-modal mapping is introduced into heart rate estimation of the ballistocardiogram signals, and the ballistocardiogram signals are mapped into the heart pulse signals by using a one-dimensional convolutional neural network so as to lower difficulty of heartbeat detection; and meanwhile, the problem in the prior art that the ballistocardiogram signals corresponding to the same heart rate value are relatively large in difference is avoided, and the accuracy of heart rate estimation is improved to a great extent.

The invention discloses a face video heart rate estimation system and method based on token learning, and the method comprises the steps: 1, inputting a face video, and carrying out the face key point detection of each frame of the video; 2, acquiring a face region of interest by using the face key points, and extracting a multi-scale space-time diagram of the face video through color space conversion and pixel average pooling operation; 3, constructing a neural network model based on token learning to learn the multi-scale space-time diagram, and predicting an rPPG signal of the face video by using the trained neural network model based on token learning; and 4, carrying out peak point detection on the rPPG signal of the face video, and calculating a corresponding average heart rate value. According to the method, face video heart rate estimation is realized by using the neural network model based on token learning, so that the accuracy and robustness of face video heart rate estimation are improved.

The invention discloses an air conditioner control method, an air conditioner and a readable storage medium. The method comprises the steps that the user heart rate of a user is monitored through a heartbeat detection module; according to the ratio of the difference between the preset reference heart rate of the user and the heart rate of the user to the preset reference heart rate, operation parameters of the air conditioner are determined; and the air conditioner is controlled to operate according to the operation parameters. The operation parameters are determined through the two parameters reflecting the physical condition of the user, the determination basis of the operation parameters is more, and therefore the integrating degree of the operation condition of the air conditioner and the physical condition of the user can be improved; and moreover, the ratio of the difference between the preset reference heart rate and the heart rate of the user to the preset reference heart rate reflects the difference degree between the average heart rate in different sleep stages and the reference heart rate of the user, different reference heart rates are set for different users, and the operation parameters are determined according to the value. The parameter adjustment of the air conditioner can be more accurately and intelligently realized according to different persons, and the use experience of the user is improved.

The invention discloses an indoor thermal environment regulation and control method based on heart rate monitoring. The indoor thermal environment regulation and control method comprises the steps that indoor air moisture partial pressure Pa is calculated based on collected indoor air temperature T and indoor humidity RH; a user real-time metabolic rate estimated value M is calculated based onresting heart rate HR<o> and real-time average heart rate HR; a user thermal sensation index CPMV<0> is calculated based on the indoor air temperature T, the indoor air moisture partial pressure Paand the user real-time metabolic rate estimated value M; and an air conditioner is controlled based on the user thermal sensation index CPMV<0>. The air conditioner can be more effectively operated,regulated and controlled, and a great effect is achieved for creating a dynamic indoor thermal environment conforming to natural health. Compared with a traditional control model, the thermal sensation prediction value is more accurate, and the comfort degree of the indoor thermal environment created according to the regulation and control method is greatly improved.

The invention provides a real-time heart beat interval measuring and calculating method for a ballistocardiogram. The real-time heart beat interval measuring and calculating method comprises the following steps of S1, collecting BCG signals; s2, preprocessing the collected BCG signals, wherein the preprocessing comprises filtering thermal noise removal and baseline processing and morphological filtering breathing interference removal processing; s3, positioning a J peak of each BCG signal in real time, and measuring a real-time JJ interval; s4, calculating an instantaneous heart rate and a multi-time scale average heart rate; s5, displaying the BCG waveform, the instantaneous heart rate and the multi-time scale average heart rate; the problems that the traditional BCG real-time heart beat detection upper limit range is too low (lower than 120 times / min), and the detection error of the continuous heart beat interval is too large during the short-time body movement interference (smaller than 4s) are also solved.

The invention discloses a sleep quality detection method, an air conditioner and a readable storage medium. According to the method, sleep heart rate data of a user is obtained through a heartbeat detection module in communication connection with the air conditioner, the duration of the user in each sleep stage and the average heart rate ratio of each sleep stage are determined according to the heart rate of the user in the sleep heart rate data, the average heart rate ratio is the ratio of the difference between preset reference heart rate of the user and the average heart rate of each sleep stage to the preset reference heart rate, and then the sleep quality of the user is determined according to the duration of the user in each sleep stage and the average heart rate ratio of each sleep stage. The division granularity of the sleep state is more refined, the evaluation dimension of the sleep quality is wider, and the evaluation basis is more, so that the accuracy of sleep quality detection can be improved; the sleep quality is evaluated according to the average heart rate ratio, the actual sleep conditions of different users can be better met, and the sleep quality of the different users can be more accurately evaluated.

The invention discloses a heart rate data acquiring method of a heart rate bracelet. The method includes that a user wears the heart rate bracelet mounted with an electrode piece which contacts with skin of the user and is used for collecting weak bioelectric signals and transmitting the bioelectric signals on the surface of the skin acquired by sensing to a signal collection module, a CAN (controller area network) communication module is utilized to transmit information to a signal processor, and the signal processor is utilized to process and integrate collected information; in the process of processing and integrating, a method of sectional measuring to acquire an average value is adopted to respectively acquire heart rate values in continuous three ten seconds and then calculate the average value of the three heart rate values, and the heart rate average value is taken as an output value. Detection data are more reliable; the heart rate data after being processed and integrated aredisplayed on a display interface, and the user can observe the heart rate data at any time and know own heart rate conditions, so that conventional methods of directly adopting heart rate sensors toacquire heart rate are changed, and production cost of the heart rate bracelet is lowered greatly.

The invention relates to a data security evaluation method and system and a storage medium, and relates to the technical field of data security, and the method comprises the steps: obtaining the operation instruction information of an operator and the current unit time average heart rate information of the operator; forming a first evaluation value according to a comparison result of the operation instruction information and preset correct operation instruction information; forming a second evaluation value according to a result whether the current unit time average heart rate information of the operator falls into a preset unit time heart rate interval range of the current time period of the operator; analyzing and acquiring a final evaluation value based on the first evaluation value and the second evaluation value by applying a preset evaluation formula; analyzing and determining whether to send early warning information to a terminal held by a person in charge according to a comparison result of the final evaluation value and a preset early warning value; and if the final evaluation value is greater than or equal to a preset early warning value, sending early warning information to a terminal held by a person in charge. The method and the device have the effect of reducing the workload of comparison and confirmation of a person in charge of the file data.

A heart rate correction method and system and a computer readable medium are provided. A heartbeat measurement signal and an acceleration detection signal are collected during a sampling time range. A credibility of an instant heart rate is determined to be credible or incredible based on the acceleration detection signal. An average heart rate is calculated by taking out one or more instant heart rate of which the credibility is determined to be credible. Whether a difference between the average heart rate and a reference heart rate exceeds a variation range is determined. When it is determined that the difference between the average heart rate and the reference heart rate exceeds the variation range, a corrected heart rate is obtained based on a correction value and the reference heart rate, and the corrected heart rate is taken as an output heart rate corresponding to the sampling time range.

The present invention provides a method for measuring and calculating real-time cardiac intervals of a ballistocardiogram, comprising the following steps: S1, collecting BCG signals; S2, performing preprocessing on the collected BCG signals, including filtering to remove thermal noise and baseline processing, and morphological filtering to remove Respiratory interference processing; S3, real-time positioning of each BCG signal J peak, measurement of real-time JJ interval; S4, calculation of instantaneous heart rate, multi-time scale average heart rate; S5, display of BCG waveform, instantaneous heart rate, multi-time scale average heart rate; solved The upper limit range of traditional BCG real-time heartbeat detection is too low (less than 120 beats / min), and it also solves the problem of excessive detection error of continuous heartbeat intervals caused by short-term body movement interference (<4s).

The invention provides a mental stress detection method and a device and electronic equipment. The method comprises the following steps: firstly, acquiring an optical volume description signal of a user, calculating a wave crest interval value according to a wave crest of the acquired optical volume description signal, and acquiring an average heart rate, low-frequency power and high-frequency power of the user according to the wave crest interval value, thereby calculating a mental stress value of the user according to the average heart rate, the low-frequency power and the high-frequency power. According to the invention, an optical volume description signal of a user is obtained; the mental pressure value of the user is calculated based on the optical volume signal, so that the user canmore visually see the mental pressure condition through the numerical value, and the sensor for acquiring the optical volume description signal is smaller in size, so that the equipment for detectingmental pressure of the user is smaller in size and convenient to carry.

A signal processing method, an apparatus and a non-transitory computer readable storage medium are provided. A plurality of segment signals are taken out based on a time series from a physiological signal, and each segment signal is determined as a desirable signal or an undesirable signal. In response to the ith segment signal is determined as the undesirable signal, under the condition of determining that both of the (i-2)th segment signal and the (i+2)th segment signal are the desirable signals, the ith segment signal is reserved. A plurality of instant heart rates are calculated based on the desirable signals and the reserved undesirable signals.

The invention provides a sleep state judging method, a sleep state judging device, a computer device and a readable storage medium. The sleep state judging method comprises the following steps: acquiring heart rate information and movement information of a user during each preset period within the preset time period, wherein the heart rate information comprises the heart rate average value, heartrate standard value and heart rate variability; and when the movement information is matched with first preset movement information, determining a sleep standard parameter according to the first heartrate average value, wherein the first heart rate average value is the heart rate average value within the first period, and the first period is the preset period corresponding to the movement information. With the technical scheme provided by the invention, the sleep standard parameter is determined according to the heart rate information and movement information the user during sleep, so that the reliability of the judging basis for the sleep state is improved, further, the judging accuracy and convenience for the sleep state of the user are improved, and finally, the use experience of the user is promoted.

The invention relates to a method for calculating a short-term heart rate by analyzing a heart shock signal. The method comprises the following steps: establishing a BCG and ECG signal database in advance, and obtaining a connectionist model of each time interval and a threshold value thereof of a BCG signal in a short term; taking one-order difference arithmetic from the BCG signal, and then converting into an energy signal; taking the maximum value in the energy signal; removing overlarge amplitude coordinate points, calculating time intervals of the rest adjacent maximum values, and substituting into the connectionist model to obtain the threshold value of each time interval; repeatedly carrying out time interval threshold value filtering until all the time intervals are respectively more than the minimum of the threshold values; and removing the time intervals more than the maximum value of the threshold values, and then calculating the average heart rate. The method provided by the invention has the advantage that the short-term average heart rate can be rapidly and accurately obtained under the condition of low calculation amount.

The invention discloses application of qi tonifying and blood activating medicines to preparing medicines for chronic arrhythmia. The qi tonifying and blood activating medicines comprises, by weight, 100-150 parts of radix astragali, 80-120 parts of radix codonopsis, 60-100 parts of radix salviae miltiorrhizae, 60-100 parts of radix puerariae, 60-100 parts of herba epimedii, 60-100 parts of fructus crataegi, 40-80 parts of radix rehmanniae, 40-80 parts of radix angelicae sinensis, 40-80 parts of rhizoma coptidis, 40-80 parts of vinegar-processed rhizoma corydalis, 40-80 parts of ganoderma, 20-30 parts of radix ginseng and 20-30 parts of radix glycyrrhizae preparata. The application has the advantages that as discovered by pharmacodynamic experimental research, definite vasodilatation effects can be realized by the qi tonifying and blood activating medicines, and obvious effects of scavenging nitrogen free radicals, hydroxyl free radicals and nitroxide free radicals can be realized by the qi tonifying and blood activating medicines; calm heart rates, total 24-hour heartbeat numbers, the maximum heart rates, the minimum heart rates and the average heart rates of chronic arrhythmia patients can be increased by the aid of the medicines, and as shown by randomized controlled trial, positive curative effects are realized by the medicines in an embodiment 1 of the invention for the chronic arrhythmia.

The invention belongs to the technical field of traditional Chinese medicine, and relates to a compound traditional Chinese medicine preparation for treating arrhythmia (premature beat). The principles of treating arrhythmia are followed in the invention: invigorating qi and resolving phlegm, tonifying Qi and promoting circulation of qi, and strengthening body resistance and eliminating evil. Astragalus membranaceus, trichosanthes kirilowii maxim, allium macrostemon and pinellia ternata are used as main herbs, and are combined with auxiliary herbs to prepare the compound traditional Chinese medicine preparation liquid, a medicated thread of the compound traditional Chinese medicine preparation is further prepared for treating arrhythmia according to the traditional Chinese medicine dialectical principle of diagnosis and treatment along meridians, and results indicate that the medicated thread of the compound traditional Chinese medicine preparation provided by the invention can be used for effectively reducing premature beat, the action of the medicated thread is similar to that of a control group propafenone, the influence on the heart rate is obviously lower than that of the propafenone, the compound traditional Chinese medicine preparation can be used for treating patients with arrhythmia (premature beat), especially patients with slower average heart rate, and can be used for reducing the premature beat on the condition of not obviously reducing the heart rates of the patients, so that the compound traditional Chinese medicine preparation has good application prospect.

A wearable physiological monitoring system comprises commercially available off-the shelf components. With the growth of interrelated systems of computing devices, mechanical and digital machines, objects, animals or people connected by the Internet, there is a significant interest in the use of wearable sensors such as cell watches, and smart phones. These wearable sensors may be used to monitor physiological signals and provide health information. An edge-intelligent Internet based wearable assists in substance-abuse detection by monitoring and interpreting an individual's physiological signals on continuous basis. The wearable device helps in monitoring cravings and substance abuse of the individual and help the healthcare provider to start an early intervention as required. The proposed system is developed as a dedicated substance abuse wearable system. An example of a wearable device is a medical quality wearable which yielded a correlation of 0.89 for accelerometer measurements and 0.92 for average heart rate measurements in tests.

The invention discloses a conditional reference heart rate sleep state monitoring method, device, equipment and medium. The method includes collecting at least one axis acceleration variation triggered by a turning motion within a preset first time period; according to the collected axis acceleration variation Determine whether to enter a suspected sleep state; if it enters a suspected sleep state, collect the heart rate within the preset second time period; calculate the average heart rate, and if the average heart rate is lower than the target heart rate, determine to enter the sleep state. The present invention judges the suspected sleep state by analyzing the amount of axial acceleration change, and then turns on the heart rate detection, so that the heart rate detection is only enabled after entering the suspected sleep state, so as to distinguish between the sleep state and the low activity state, thereby avoiding In addition to turning on the heart rate collection state for a long time, it also realizes accurate sleep monitoring.

The invention relates to an instant body temperature and heart rhythm associated nursing monitoring method. The method comprises the following steps: acquiring a plurality of real-time heart rates and real-time body temperatures of a target user in a first time period; judging whether the real-time heart rate has data outside a first safety interval or not, if yes, giving an abnormal alarm, judging whether the real-time body temperature has data outside a second safety interval or not, and if yes, giving an abnormal alarm; judging whether the plurality of real-time body temperatures of the user in the first time period are gradually increased or not, and if yes, continuing to obtain a plurality of real-time heart rates and real-time body temperatures of the target user in the next first time period; calculating a first average heart rate and a first average body temperature of the first first time period and a second average heart rate and a second average body temperature of the next first time period; and according to the calculated heart rate change, judging whether the heart rate change is within a change interval, and if not, giving a corresponding alarm. The heart rate and the body temperature can be monitored in an associated mode, and the monitoring effect is greatly improved.

The invention discloses a method and a device for dynamically adjusting the volume of intelligent wearable equipment and the intelligent wearable equipment. The method comprises the following steps: acquiring a heart rate average value of a wearer; the current heart rate state of the wearer is judged according to the heart rate average value of the wearer; according to the current heart rate state of the wearer, the power amplifier gain of a loudspeaker of the intelligent wearable device is adjusted, so that dynamic adjustment of the volume of the intelligent wearable device is achieved. According to the method, the volume can be dynamically adjusted in real time according to the current heart rate state of the wearer, manual participation of the wearer is not needed, the volume adjusting means are enriched, the method can be suitable for more use scenes, and the use experience of the user is greatly improved.

The invention discloses a portable Raspberry Pi-based remote heart rate detection device and method. The method comprises the following steps: step 1, acquiring a facial image of a subject in real time; step 2, face feature point detection and ROI positioning and tracking are carried out; 3, calculating an original signal; step 4, variational mode decomposition is carried out on the extracted original signal; 5, extracting a heart rate component and calculating average heart rate data; and step 6, displaying the image after face processing and the heart rate data in real time. The problem that a subject needs to be in direct contact with detection equipment in current heart rate detection is solved, accurate and automatic heart rate detection is achieved, the comfort of the subject can be greatly improved, direct contact with a person to be detected is avoided, and heart rate monitoring of the subject in a comfortable state is facilitated. The system has higher popularization and use values in daily heart rate monitoring, and has the characteristics of simple structure, convenience in carrying, easiness in debugging, high detection accuracy and the like.

The invention discloses the application of a drug for replenishing qi and activating blood in the preparation of a drug for bradyarrhythmia. The raw material medicine of the medicine for replenishing qi and promoting blood circulation is composed of: 100-150 parts by weight of astragalus, 80-120 parts by weight of Codonopsis pilosula, 60-100 parts by weight of salvia miltiorrhiza, 60-100 parts by weight of kudzu root, 60-100 parts by weight of epimedium hawthorn 60-100 parts by weight, 40-80 parts by weight of Rehmannia glutinosa, 40-80 parts by weight of Angelica sinensis, 40-80 parts by weight of Coptidis rhizome, 40-80 parts by weight of vinegar corydalis, 40-80 parts by weight of Ganoderma lucidum, 20-30 parts by weight of ginseng, Licorice 20-30 parts by weight. Pharmacodynamic experiments have found that the drug for nourishing qi and activating blood circulation of the present invention has a clear vasodilation effect, and also has obvious scavenging effects on nitrogen free radicals, hydroxyl free radicals and nitroxide free radicals. The medicine of the present invention can improve the calm heart rate, 24-hour total heart rate, the fastest heart rate, the slowest heart rate and the average heart rate of patients with bradyarrhythmia. The application of randomized controlled studies shows that the embodiment of the present invention 1 is a pair of embodiment 1 of the present invention. Bradyarrhythmia has a definite curative effect.