288 results about "Heart rate measurement" patented technology

A biometric monitoring device measuring various biometric information is provided that allows the person to take and/or display a heart rate reading by a simple user interaction with the device, e.g., by simply touching a heart rate sensor surface area or moving the device in a defined motion pattern. Some embodiments of this disclosure provide biometric monitoring devices that allow a person to get a quick heart rate reading without removing the device or interrupting their other activities. Some embodiments provide heart rate monitoring with other desirable features such as feedback on data acquisition status.

Accurate occurrences of pulsation per unit time, that is, a heart rate is measured with a burden on a subject person being reduced to be very small and without being susceptible to body vibrations accompanying exercise. A heart rate monitor is produced, in which a light-emitting element 11 and a light-receiving element 12 are fitted to a head of a human body, light from the light-emitting element 11 is reflected at or transmitted through a subcutaneous artery 4 and/or blood running in the subcutaneous artery, the reflected or transmitted light is detected at the light-receiving element 12, and by using a CPU 14, the pulsation of the subcutaneous artery 4 and/or a change in bloodstream running in the subcutaneous artery 4 is measured from a change in intensity of the light detected at the light-receiving element 12, a pulse rate of the change in the bloodstream per unit time is calculated from this measured value, and the calculated pulse rate of the change in the bloodstream per unit time is regarded as a heart rate.

Methods for heart rate measurement based on pulse oximetry are provided that can tolerate some degree of relative displacement of a photoplethysmograph (PPG) heart rate monitor device. In some methods, artifact compensation based on a reference signal is performed on the PPG signal data to remove artifacts in the signal that may be caused, for example, by changes in ambient light and/or motion of a person wearing the monitor device. The reference signal used for artifact compensation may be generated using an LED of a complementary wavelength to that of the LED used to generate the PPG signal, or by driving an LED at a lower current than the current applied to generate the PPG signal.

A method and a system for heart rate measurement are provided. The method includes: capturing at least one image, detecting skin-like points by using a skin color detector, labeling the skin-like points and tracking at least one target to be measured, taking statistics on color values of the target at multiple time points, measuring the heart rate through frequency transformation. The method and the system are easy to setup fully an automatic contact-free measurement of multiple persons' heart rates at a time, and applicable in multiple regions of human body for heart rate measurement such as head and neck, arm, and palm regions.

A continuous, non-invasive fetal heart rate measurement is produced using one or more ultrasonic transducer array patches that are adhered or attached to the mother. Each ultrasound transducer array is operated in an autonomous mode by a digital signal processor to obtain data from which fetal heart rate information can be derived. Each ultrasonic transducer array patch comprises a multiplicity of subelements that are switchably reconfigurable to form elements having different shapes, e.g., annular rings. Each subelement comprises a plurality of interconnected cMUT cells that are not switchably disconnectable. The use of cMUT patches will provide the ability to interrogate a three-dimensional space electronically (i.e. without mechanical beam steering) with ultrasound, using a transducer device that is thin and lightweight enough to stick to the patient's skin like an EKG electrode. The ultrasound device can track the fetal heart in three-dimensional space as it moves due to the mother's motion or the motion of the unborn child within the womb.

What is disclosed is a system and method for automatically removing undesirable periodic or random background noise from heart rate measurement signals obtained from a video camera, ambient illuminator and other unknown electromagnetic sources to improve the overall reliability of biomedical measurements. In one embodiment, a time varying video image acquired over at least one imaging channel of a subject of interest is received. The video images are then segmented into a first region comprising a localized area where plethysmographic signals of the subject can be registered and a second region comprising a localized area of the environment where the plethysmographic signals cannot be registered. Both of the regions are exposed to the same environmental factors. The segmented video signals are pre-processed and the processed signals are subtracted from each other to generate an environmentally compensated signal. The environmentally compensated signal is then communicated to a computer system.

A device, such as an implantable cardiac device, and methods for determining heart rate recovery of a patient after exercise. Specifically, the method includes identifying a first heart rate indicative of exercise, a second heart rate indicative of a slow-down in exercise, and using the first and second heart rates to determine a measure of heart rate recovery. The first heart rate may be identified when a heart rate measurement and/or an activity level exceeds a predetermined threshold. The second heart rate may be identified based when a heart rate measurement and/or the activity level falls below a predetermined threshold. The device includes hardware and/or software for performing the described methods.

A device, such as an implantable cardiac device, and methods for determining exercise diagnostic parameters of a patient are disclosed. Specifically, a maximum observed heart rate of a patient during exercise can be identified when an activity level and a heart rate measurement of the patient exceed predetermined thresholds. Included are methods for filtering out premature heartbeats or noise from the maximum heart rate determination. Methods of determining other exercise parameters, such as workload are also disclosed. The device includes hardware and/or software for performing the described methods.

The embodiment of the invention discloses a non-contact heart rate measurement method and a device based on Euler image magnification, used for solving the technical problems existing in the existingnon-contact heart rate measurement method that the heart rate is great in same-frequency noise interference and is greatly influenced by an environment temperature, isolation signal authenticity lacksjudgment and the like. The non-contact heart rate measurement method and device based on Euler image magnification in the embodiment of the invention comprises the following steps: S1, magnifying tiny change of radial artery jump in a video through an Euler image magnification technology; S2, performing luminance variance statistics on a video frame pixel point luminance channel after magnifyingthe tiny change of radial artery jump in a time domain, performing skin segmentation on the video frame subjected to magnification of the tiny change of radial artery jump, and extracting a radial artery jump area; and S3, performing time-frequency analysis on the radial artery jump area so as to calculate the heart rate.

The invention discloses an intelligent electrocardiograph monitoring device based on a potential and photoelectric detection method. The intelligent electrocardiograph monitoring device comprises a watch body and a watch cover. Two electrodes are positioned on the lower side of the watch body, and a third electrode positioned on the watch cover needs to be pressed by fingers when in use. When the electrode on the watch cover is touched by the fingers, the device can sense finger touch automatically and collect electrocardiograms. When the electrode on the watch cover is not touched by the fingers, the device is automatically switched into a photoelectric mode to enable a photoelectric driving module to drive a photoelectric emitting tube, a photoelectric receiving tube can transmit received photoelectric signals to a signal amplification module, the signals enter an analog-to-digital conversion module to be converted into digital signals after passing a signal filtering module, and finally, the digital signals are processed by a processor to acquire photoelectric volume tracing waves for heart rate calculation. The intelligent electrocardiograph monitoring device has the greatest advantage that heart rate measurement can be directly completed by a single hand, and can automatically identify connection of electrocardiograph electrodes.

The invention relates to a non-contact heart rate measurement method based on a visual camera, comprising the following steps: determining a region of interest ROI, processing pixel signals, and extracting heart rate information. The invention utilizes a camera to collect a video image of an object. Then, for these images, color enhancement is performed on the captured images, and the selected ROIis located. Then the effective signal is extracted and the heart rate is obtained by band-pass filter and Fast Fourier Transform. The experimental results show that this method can measure heart rateeffectively. Therefore, the non-contact heart rate measurement is realized.

The invention discloses a detecting rapid heart rate of multiple people method based on video, relating to technical field of human health monitoring. The non-contact method is used to collect the video data of the subjects through camera, and the color space of the video data is converted from RGB to HSV, so that the heart rate of several people can be measured quickly. The detecting rapid heart rate of multiple people method based on video is characterized that though detecting and tracking the multiple face region of input video by camera or existing video, face regions are segmented. The temporal data sequence of the face region is extracted and processed. Then, the heart rate is extracted into the frequency domain. Compared with the prior art, the detecting rapid heart rate of multiple people method, based on improved face detection algorithm and improved tracking algorithm and using multithreaded method to accelerate, can realize the rapid heart rate detection of multiple people, shorten the time of heart rate measurement, and improve the detection efficiency of physiological signals.

The invention relates to the field of electronic measurement, and discloses a heart rate measurement method and a heart rate measurement device. The method comprises the following steps that a green light source is sent to a living body, in addition, reflecting light signals of the living body on green light are received; the reflecting light signals are subjected to conversion processing, and in addition, corresponding electric signals are obtained; the electric signals are subjected to multi-point sampling, and in addition, the heart rate data is obtained through being calculated according to an internal algorithm, wherein the internal algorithm is selected through analyzing auxiliary signals provided by an auxiliary sensor module by a miniature controller. The technical scheme provided by the invention is adopted, the heart rate can be measured both statically and dynamically, and in addition, one or several auxiliary sensors can be selected and matched for improving the dynamic heart rate output accuracy. In addition, besides the dynamic measurement improvement, the method and the device also have the advantages of self adaptability to the organism measured parts and different skin colors and the like.

A living body measurement system including a cerebral blood volume measurement unit for measuring a regional cerebral blood volume of a subject, an arterial pressure/heart rate measurement unit for measuring an arterial pressure and/or a heart rate of the subject, an analysis unit for analyzing signals measured by the cerebral blood volume measurement unit and the arterial pressure/heart rate measurement unit, an extraction unit for extracting information concerning a regional cerebral vascular state of the subject on the basis of an output of the analysis unit, and a display unit for displaying a measurement result measured by the cerebral blood volume measurement unit and/or the arterial pressure/heart rate measurement unit, an analysis result analyzed by the analysis unit, or an extraction result extracted by the extraction unit.

The invention discloses a smartwatch wrist watch heart rate measurement optimizing method and system based on wrist watch tightness degree and used for solving the problem of low accuracy rate of heart rate measurement in a movement state. The method comprises the steps that S1, a state of a user is obtained; S2, whether the user is in the movement state or not is judged, and if the user is in the movement state, a watchband is tightened; if the user is not in the movement state, whether a heart rate measurement function is started or not is judged, and if the heart rate measurement function is started, the watchband is tightened; if not, the watchband is loosened. By the adoption of the smartwatch wrist watch heart rate measurement optimizing method, tight combination of the wrist watchband can be kept in different state, and wearing comfort in a quiet state is kept. Accurate smartwatch wrist watch heart rate measurement in the movement state is achieved by intelligently adjusting the tightness degree of the watchband, and the influence on heart rate measurement of relative movements of a wrist watch and the arm in movement is effectively prevented.

The invention discloses a heart rate detection method, system and equipment based on PPG and a storage medium. The method comprises the steps that skin coarse detection is conducted on an input facialimage to obtain an interested skin area image; spatial pixel averaging is conducted on the green channel of the skin area image, and interpolation calculation is conducted on the facial image with apreset frame number to obtain a time sequence signal containing cardiac impulse information; filtering treatment is conducted on the time sequence signal using continuous wavelet transform to obtain impulse waves; a heart rate value is obtained by using Fourier transform to achieve the non-contacting type body heart rate measurement, the accuracy of the measuring result is high, and the method canbe applied to the fields of medicine, polygraph test and the like.

The invention belongs to the technical field of computer vision, deep learning and medicine, particularly relates to a non-contact heart rate measurement method, system and device based on a face image, and aims to solve the problems that an existing non-contact heart rate measurement method based on an image is greatly influenced by ROI selection, environment and other factors, and the measurement accuracy is low. The heart rate calculation error rate is large, and the real-time performance is low are solved. The method comprises the steps of obtaining a face position from a face video through face key point detection and positioning, and extracting a face local ROI area frame by frame as network model input; on the basis of a convolution and time sequence network cascade model, dividingheart rate intervals into different interval categories, embedding a channel attention network SENet into a convolution module, weights are learned according to the channel importance degree, and finally acquiring the heart rate interval categories corresponding to input videos. CNN feature extraction and the LSTM long-short-term memory neural network are combined, and the channel attention network is embedded, so that heart rate non-contact measurement with low error rate and high efficiency is realized.

The invention discloses a non-contact heart rate measurement method based on a face video image. The method comprises the following steps: acquiring multiple frames of RGB images; searching a face area of the single-frame RGB image and determining a cheek center area as an interested face area ROI1, and performing space pixel averaging on a green channel of the ROI1 to obtain an average value s1i;extracting a part of fixed background area of the single-frame RGB image as an interested background area ROI2, and performing space pixel averaging on a green channel of the ROI2 to obtain an average value s2i; integrating the plurality of s1i to obtain an effective signal flow s1, and integrating the plurality of s2i to obtain a reference noise signal flow s2; performing normalization processing on the effective signal flow s1 and the reference noise signal flow s2, and then performing noise reduction to obtain a reconstructed signal flow sign; and calculating a heart rate value according to the reconstructed signal flow sign. According to the invention, the problems of low face motion and signal-to-noise ratio and the like in heart rate monitoring based on the face video image can be effectively solved.

The invention discloses a heart rate detection method, which comprises the following steps: detecting light brightness of an environment where a detected object is located; judging whether the light brightness meets preparatory conditions or not, if not, generating infrared light; judging whether the head of the detected object is within a valid measurement working distance, if so, conducting 3D scanning on the face of the detected object so as to establish a model; on the basis of the model established through the 3D scanning, conducting face tracking by virtue of a motion tracking algorithm, and extracting motion data; recognizing the face based on the motion data, and extracting spectrum transformation data, so that original data is constituted; conducting independent component analysis on the original data so as to remove noise; and after removing the noise, conducting waveform analysis on the data through fast Fourier transform, so that real-time heart rate data is obtained. The heart rate detection method disclosed by the invention can reduce the influence of a measurement environment on measurement precision, so that the accuracy of heart rate measurement is improved. The invention also discloses a heart rate detection system.

A system for integrating heart rate measurement and identity recognition is provided. The system includes a storage unit, an image sensor, an identity recognition unit and a frequency extractor. The storage unit stores a user information database. The image sensor captures a plurality of skin images of a user during a time period. The identity recognition unit receives a physiological feature from the user and recognizes the user by comparing the physiological feature with the user information database in the storage unit. The frequency extractor obtains a frequency signal by extracting a motion signal from the skin images according to the brightness change of the different color lights in the skin images during a time period. The frequency signal represents a frequency in a specific frequency interval, and it represents heart rate information of the user. A method for use in the above-mentioned system is also disclosed.

The invention discloses a reflecting wrist type heart rate meter. The reflecting wrist type heart rate meter comprises a microprocessor, a nixie tube, an LED flickering circuit, a light-emitting diode, a light source driving circuit, a reflected light receiving circuit, a low-pass amplifying circuit, a high-pass filtering circuit and a voltage comparison circuit. The microprocessor is an STC89C52 chip. The nixie tube is used for displaying the detected heart rate value. The reflected light receiving circuit, the low-pass amplifying circuit, the high-pass filtering circuit and the voltage comparison circuit are sequentially connected. The output end of the voltage comparison circuit is connected with an external interruption interface of the microprocessor. Each external interruption corresponds to one heartbeat. The microprocessor calculates the heart rate value based on the frequency of external interruptions within a preset T, and the heart rate value obtained by calculation is displayed on the nixie tube. Every time when one external interruption happens, the microprocessor controls an LED lamp in the LED flickering circuit to flicker one time. The reflecting wrist type heart rate meter is easy to operate and high in detection precision.

The invention provides a heart rate measuring method and a heart rate measuring device based on the bioelectrical impedance technology. According to the heart rate measuring method, the bioelectrical impedance technology is adopted, specifically, an electrical impedance signal of the radial artery of the arm of a tested person is collected, then analog-digital conversion is carried out on the signal, thus an electrical impedance digital signal is obtained, and then the heart rate and heart rate variability characters are extracted from the electrical impedance digital signal. The heart rate measuring method has the characteristics of being simple and feasible, and being low in price and easy and convenient to operate, the heart rate data can be rapidly and accurately collected and analyzed, and the measurement for the tested person is realized.