37 results about "Heart rate average" patented technology

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 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 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 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 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.

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.

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 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 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.