31 results about "Base heart" patented technology

A method to obtain a patient based organ model from patient data, having steps of obtaining a computerized organ model based upon at least one data set of patients, the computerized organ model having a set of classifiers that are used to determine physical parameters of the patients heart, placing the patient in a diagnostic scanner device, taking representative data images of a patients organ while changing position of the image scan, the data images taken with ECG synchronization; and preparing the patient based organ model by evaluating the representative data images of the patients organ with the set of classifiers in the computerized organ model.

A valve sizer for determining an appropriate replacement valve size when performing a heart valve replacement procedure is provided. In one version the valve sizer has a hollow shaft with proximal and distal ends. A movable sizing element couples to the distal end of the shaft and is radially expandable between first, contracted and second, expanded positions. An actuator assembly on a handle includes an actuator coupled to a clutch member via a ball-spring-detent clutch. A rod extends through the shaft and maintains a fixed distance between the handle and a distal hub in the sizing element. Movement of the actuator causes axial movement of the shaft, thereby causing radial expansion of sizing petals relative to the hub. The clutch slips when a predetermined reaction force from the surrounding valve annulus is met by the petals.

Disclosed are cellulose-based pliable, porous and non-porous prosthesis structures that can be formed to various geometries such as thin films, membranes, hollow tubes, heart valves, including an aortic heart valve. Also disclosed are methods for preparing a cellulose-based porous prosthesis structure.

The invention provides a human face video image based heart rate detection system which comprises a video recording module, a face recognition module, an RGB separation module, an independent component analysis module and a physiological parameter quantization module. The video recording module, the face recognition module, the RGB separation module, the independent component analysis module and the physiological parameter quantization module are connected successively. The heart rate detection methods include steps of video recording, face recognition, RGB separation, independent component analysis and decomposition, physiological parameters quantification. The system and the method have the advantages of high calculation efficiency, effectively overcoming the influence of human face contour, light and other environmental factors. The system can also remind real-time cardiovascular changes, solve the problem of inaccurate measuring results due to the discomfort of a patient to contact detection, and has a large application prospect in remote medical care.

Disclosed are cellulose-based pliable, porous and non-porous prosthesis structures that can be formed to various geometries such as thin films, membranes, hollow tubes, heart valves, including an aortic heart valve. Also disclosed are methods for preparing a cellulose-based porous prosthesis structure.

The invention discloses a sound signal based heart rate monitoring method. The sound signal based heart rate monitoring method includes: emitting frequency modulated continuous waves outwards througha loudspeaker; receiving sound wave signals through a microphone, wherein the sound wave signals include reflected sound wave signals obtained by human thoracic cavity reflection of the frequency modulated continuous waves and direct sound wave signals formed by the frequency modulated continuous waves directly reaching the microphone from the loudspeaker, and the reflected sound wave signals include heartbeat reflected sound wave signals and breath reflected sound wave signals; processing the sound wave signals to obtain the heartbeat. The invention further discloses a sound signal based heart rate monitoring device and a sound signal based heart rate monitoring system. By the sound signal based heart rate monitoring method, heartbeat monitoring based on sound signals is realized, a noncontact heartbeat monitoring means is provided, and convenience in monitoring and operation and low cost are realized.

A cardiac rhythm management system acquires atrial heart rate variability data. The system provides a graphic or other indication of patient well-being based on the atrial heart rate variability data. Such atrial heart rate variability information provides an indication of the autonomic balance between the sympathetic and parasympathetic / vagal components of the autonomic nervous system. One example of the system also provides time-domain processing of frequency components of the atrial heart rate interval signal to obtain the indication of patient well-being.

A user-friendly and statistic based heart rate variability analytical method includes the following steps of capturing an electrocardiogram signal of a person, performing analog-to-digital conversion of the electrocardiogram signal, selecting the peaks of the electrocardiogram signal, calculating the standard deviation of the heights, durations and inter-peak intervals of the peaks, removing the peaks whose heights, durations or inter-peak duration fall beyond a first predetermined standard deviation, sampling and interpolating the qualified peaks to form a consecutive peak signal, and performing spectrum analysis to the peak signal in frequency domain.

The invention relates to an electrocardiogram-based heart rate analysis method and equipment, wherein the heart rate analysis method comprises the following steps: obtaining particular cardiac cycle data based on electrocardiogram; drawing a heart rate scatter diagram based on the cardiac cycle data; respectively connecting two scatter points adjacent in time domain in the heart rate scatter diagram to obtain a plurality of vectors; drawing a fence diagram of vectors in chronological order of the appearance of vectors, wherein the chronological order of the appearance of vectors is consistent with the chronological order of the appearance of the scatter points for forming the vectors; judging whether the cardiac cycle data is in a predetermined range of normal values; drawing the cardiac cycle data beyond the range of normal values in the fence diagram based on the time correspondence. According to the invention, the cardiac cycle data in the electrocardiogram are superimposed into the fence diagram of the vectors, so that doctors can not only see the starting point of sustained arrhythmia visually, but also see the duration of sustained arrhythmia, so as to be beneficial to the diagnosis of doctors.

A blood flow rate measurement system measures fluid flow rate in a blood vessel having a catheter-based heart pump inserted therein, without relying on measurements of electric current drawn by a motor that drives the heart pump. A turbine is disposed at or near a distal end of the heart pump catheter. Blood or other fluid flowing through the blood vessel urges blades of the turbine to rotate. The turbine is mechanically coupled to a signal generator, which generates a signal indicative of a rotational speed of the turbine, which is dependent, at least in part, on speed of the fluid flowing through the blood vessel. A tachometer, external to the body of the patient, calculates the blood flow rate from the rotational speed of the turbine. In some cases, the blades are collapsible, to reduce diameter of the turbine, thereby facilitating insertion of the system into the blood vessel.

A method and apparatus for determining a heart rate of a biological body are disclosed. In the method and apparatus, light having a first wavelength and light having a second wavelength are emitted at the biological body. The first wavelength is associated with a first absorption coefficient for blood components and the second wavelength is associated with a second absorption coefficient for the blood components that is less than the first absorption coefficient. A first reflected signal is captured as a result of the light having the first wavelength being reflected from the biological body and a second reflected signal is captured as a result of the light having the second wavelength being reflected from the biological body. A heart rate signal is obtained based on the first and second reflected signals. A heart rate of the biological body is determined based on the heart rate signal.

A system and method for camera-based heart rate tracking. The method includes: determining bit values from a set of bitplanes in a captured image sequence that represent the HC changes; determining afacial blood flow data signal for each of a plurality of predetermined regions of interest (ROIs) of the subject captured by the images based on the HC changes; applying a band-pass filter of a passband approximating the heart rate to each of the blood flow data signals; applying a Hilbert transform to each of the blood flow data signals; adjusting the blood flow data signals from revolving phase-angles into linear phase segments; determining an instantaneous heart rate for each the blood flow data signals; applying a weighting to each of the instantaneous heart rates; and averaging the weighted instantaneous heart rates.

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.

A method to obtain a patient based organ model from patient data, having steps of obtaining a computerized organ model based upon at least one data set of patients, the computerized organ model having a set of classifiers that are used to determine physical parameters of the patients heart, placing the patient in a diagnostic scanner device, taking representative data images of a patients organ while changing position of the image scan, the data images taken with ECG synchronization; and preparing the patient based organ model by evaluating the representative data images of the patients organ with the set of classifiers in the computerized organ model.

The invention discloses an NLARI heart rate module-based heart and an autonomic nerve function assessment method. Heart rate variation is modeled via a non-linearity autoregression integration model describing a random elastic system; and heart rate feature indexes and assessment reference range can be derived via parameter-quantization of relative functions of the heart and the autonomic nerve via the model. An assessment system formed by the heart rate feature indexes can be derived in internal-external environment of a cardiovascular system; cardiovascular system and autonomic nerve function assessment can be provided including myocardial metabolism and function, autonomic nerve system and humoral balancing adjusting functions, metabolism level and changes; and cardiogenic stroke death risk indexes can be also improved. Approximate algorithm or chip elements for frequency-domain analysis can be unnecessary, so the method is convenient and high-efficient; and the method integrates biological signal analysis technology and communication network technology, so the whole people health industry development can be promoted.

The invention provides a tilt angle sensor-based heart rate detection device and a detection method thereof, and relates to the technical field of heart rate detection. The detection device comprisesa sensor, an analog-to-digital converter, a controller, and a data transmission module which are connected sequentially, and also comprises a power supply module which is connected with the sensor, the analog-to-digital converter, the controller, and the data transmission module, wherein the sensor is a high-precision tilt angle sensor. The detection method comprises the following steps: collecting AD signals, namely placing the controller with the high-precision tilt angle sensor at the heart to collect signals and convert the signals by the analog-to-digital converter; performing amplifying,DC blocking and filtering on the converted signals by the controller to obtain discrete heart impulse signals; calculating and counting adjacent pulse interval sequences of a plurality of cycles; counting and calculating the cross-correlation of the adjacent pulse interval sequences of the cycles; counting the cycles of the adjacent pulse interval sequences with the high correlation and calculating the mean; and calculating to obtain the heart rate value.

The invention discloses a camera shooting based non-contact heart rate detection method and device, and relates to the technical field of heart rate measurement. The method includes step A, step B, step C and step D. The device includes an image collecting module, an image processing module, a display module and a treadmill control system; and the image processing module is connected to the treadmill control system, and speed control of a treadmill can be realized by outputting a control instruction to the control system. In summary, compared with existing treadmills which can provide heart rate data and the way of using chest belts, a non-contact based heart rate measurement mode can be realized through the method and the device, the noninvasive, painless and extremely convenient heart rate measurement method can be realized by using a camera, and an important physiological index can be provided when people exercise on the treadmill so that a reference for health can be made.

The invention relates to the technical field of human body physiological parameter monitoring devices, in particular to a mobile-phone-based heart rate monitoring device, which comprises a heart rate measurement device and a mobile phone interface device electrically connected with a mobile phone, wherein the heart rate measurement device is provided with a wireless transmission module; the mobile phone interface device is provided with a wireless receiving module matched with the wireless transmission module; the heart rate measurement device transmits a measured heart rate signal to the mobile phone interface device in a wireless transmission way; the mobile phone interface device processes the heart rate signal, and transmits the processed heart rate signal to the mobile phone; and the mobile phone stores and displays the heart rate signal. The heart rate measurement device transmits the measured heart rate signal to the mobile phone in the wireless transmission way, and a hear rate condition is directly displayed in real time on the mobile phone by utilizing the characteristic of data processing, storage and display capability of the mobile phone, and can be accumulated and stored for a long time for statistical analysis. The heart rate monitoring device is light, portable and convenient to test.

The invention discloses a multipath heart sound based heart sound sensor position error-correcting method. The multipath heart sound based heart sound sensor position error-correcting method comprisesthe following steps of: synchronously collecting and synchronously recording an electrocardiograph and multipath phonocardiogram, wherein each phonocardiogram corresponds to a respective an auscultatory area to separately distinguish electrocardiographic characteristics of each cardiac cycle, correspondingly searches heart-sound characteristics of each phonocardiogram according to the electrocardiographic characteristics, and distinguish whether a heart sound sensor is within a correct auscultatory area or not. The multipath heart sound based heart sound sensor position error-correcting method has the advantages of being capable of distinguishing whether each heat sound sensor is within the correct auscultatory area or not and being suitable for monitoring a heart state in a household mode.

The invention discloses an optoacoustic effect-based heart rate measuring method and device. The measuring method includes steps that emitting a continuous sine wave near-infrared light source to a living body, receiving sound wave radiated from the living body under the excitation of the near-infrared light, and the like. The device comprises a hollow multi-ring array detection sensor, a signal amplifier, a blocking and filtering device, a programmable gain amplifier, a micro-controller, a near-infrared module, an LCD display screen, an auxiliary sensor module, a Buzzer buzzer and the like. The device is stable in performance, simple in structure, convenient to carry, convenient to operate, capable of realizing the real-time heart rate monitoring, and capable of being broadly used for different heart rate measuring fields.

The invention discloses a human body motion energy harvesting-based heart rate measurement device, which comprises an energy management circuit module, a constant-current source chip, a sensor array patch, a signal processing and display module and four energy harvesting modules, wherein the four energy harvesting modules convert mechanical energy generated by human body motion into electric energy and transmit the electric energy into the energy management circuit module; the constant-current source chip is electrically connected with the energy management circuit module and transmits milliampere-scale current to the sensor array patch; the sensor array patch is electrically connected with the signal processing and display module; meanwhile, the sensor array patch transmits a sensor signal to the signal processing and display module; and the signal processing and display module acquires a heart rate signal of a user according to the received sensor signal and displays the heart rate signal to the user through a display screen in the signal processing and display module. According to the human body motion energy harvesting-based heart rate measurement device, the energy harvestingand converting efficiency is improved, so that self-powering of the heart rate measurement device is achieved, and the manufacturing cost is greatly reduced.

The present invention relates to a heart rate analysis method and equipment based on an electrocardiogram, wherein the heart rate analysis method includes: obtaining specific cardiac cycle data according to the electrocardiogram; drawing a heart rate scatter diagram based on the cardiac cycle data; Two adjacent scatter points to obtain multiple vectors; draw the raster diagram of the vectors in the time order of the vectors, where the time order of the vectors is consistent with the time order of the scatter points used to form the vector; determine the cardiac cycle whether the data is within the predetermined normal value range; and plot the cardiac cycle data not within the normal value range in the grid chart according to the time correspondence. The present invention superimposes the cardiac cycle data in the electrocardiogram into the vector raster diagram, so that the doctor can not only visually see the starting point of the continuous arrhythmia, but also can visually see the duration of the continuous arrhythmia, which is beneficial Doctor's diagnosis.

A system and method for camera-based heart rate tracking. The method comprises: determining, from a set of bit-planes in a captured image sequence, bit values ​​representing HC changes; determining a face for each of a plurality of predetermined regions of interest (ROIs) of a subject captured by the images based on the HC changes blood flow data signals; applying a bandpass filter approximating the passband of the heart rate to each blood flow data signal; applying a Hilbert transform to each blood flow data signal; adjusting the blood flow data signals from a rotational phase angle to linear phase segments; determining an instantaneous heart rate for each flow data signal; applying weighting to each instantaneous heart rate; and averaging the weighted instantaneous heart rates.

The invention relates to a consumption-level equipment-based heart rate state auxiliary detection system, a heart state monitoring system, a heart state monitoring method, a storage medium and a terminal, and solves the problem that a consumer cannot intuitively know the own heart rate state, the consumption-level equipment-based heart rate state auxiliary detection system comprises a heart rate data acquisition module, a heart rate data analysis module and a heart rate state output module, continuous heart rate data of a to-be-detected person is collected; smoothing each piece of heart rate data, and rounding the smoothed data to form preprocessed data; selecting data from the preprocessed data to form at least two pieces of heart rate sequence data; sequentially selecting two pieces of heart rate sequence data and calculating the correlation of the two pieces of heart rate sequence data to form a correlation coefficient sequence; performing distribution analysis through the distribution analysis model to form a heart rate analysis result; and finally, outputting a heart rate analysis result. Under the condition that the data analysis accuracy is guaranteed, different data are analyzed, the analysis result is presented to the consumer, and the consumer can conveniently understand the heart rate state of himself / herself.

According to the non-contact heart rate measurement method and device and the computer equipment, the face image is obtained in real time; the method comprises the following steps: acquiring a human face image, extracting a region of interest (ROI) of the human face image, performing image data accumulation on the ROI, performing high-quality signal region screening on the ROI when accumulation time reaches a preset time threshold value to obtain a human body photoplethysmography (PPG) signal, and performing singular spectrum analysis on the human body PPG signal to obtain a heart rate value. According to the method, the influence of the environment on the non-contact heart rate measurement is reduced and the accuracy of the non-contact heart rate measurement is improved by adopting a high-quality signal area screening and singular spectrum analysis-based heart rate calculation method.

A method of determining a heart rate of a subject, performed by at least one processor, includes obtaining video data of the subject; detecting a face of a subject in the video data; selecting at least one region of interest (ROI) in the face; acquiring a photoplethysmography (PPG) signal based on the at least one ROI; and determining the heart rate of the subject according to the PPG signal.

The invention relates to the technical field of human body physiological parameter monitoring devices, in particular to a mobile-phone-based heart rate monitoring device, which comprises a heart rate measurement device and a mobile phone interface device electrically connected with a mobile phone, wherein the heart rate measurement device is provided with a wireless transmission module; the mobile phone interface device is provided with a wireless receiving module matched with the wireless transmission module; the heart rate measurement device transmits a measured heart rate signal to the mobile phone interface device in a wireless transmission way; the mobile phone interface device processes the heart rate signal, and transmits the processed heart rate signal to the mobile phone; and the mobile phone stores and displays the heart rate signal. The heart rate measurement device transmits the measured heart rate signal to the mobile phone in the wireless transmission way, and a hear rate condition is directly displayed in real time on the mobile phone by utilizing the characteristic of data processing, storage and display capability of the mobile phone, and can be accumulated and stored for a long time for statistical analysis. The heart rate monitoring device is light, portable and convenient to test.

Disclosed is a closestool-based heart rate acquisition method comprises the following steps: acquiring a to-be-analyzed video comprising a facial image of a user according to a preset frame rate; extracting a channel image of a predetermined channel in the to-be-analyzed video to generate a channel image sequence; obtaining face color features of channel images in the channel image sequence, and determining a change period of the channel image sequence according to the color features; and determining the heart rate of the user according to the change period of the channel image sequence. Therefore, the user can complete heart rate collection without any action, and the accuracy of heart rate collection can be effectively improved through channel image analysis.

The invention discloses a DSP-based heart rate measurement device. The DSP-based heart rate measurement device comprises a DSP controller, a heart rate sensor, a signal amplification and shaping circuit, a wave trap, a storage, a displayer and a communication interface, wherein the output end of the heart rate sensor is connected with the input end of the signal amplification and shaping circuit; the output end of the signal amplification and shaping circuit is connected with the input end of the wave trap; the output end of the wave trap is connected with the input end of the DSP controller; the output end of the DSP controller is connected with the displayer and the communication interface; the storage and the DSP controller are connected. The DSP-based heart rate measurement device can accurately measure the heartbeat frequency and draw a heart sound spectrum, and can also upload power down storage and measurement data to a user mobile phone or an upper computer and give an alarm out of scope.

A method and apparatus for determining a heart rate of a biological body are disclosed. In the method and apparatus, light having a first wavelength and light having a second wavelength are emitted at the biological body. The first wavelength is associated with a first absorption coefficient for blood components and the second wavelength is associated with a second absorption coefficient for the blood components that is less than the first absorption coefficient. A first reflected signal is captured as a result of the light having the first wavelength being reflected from the biological body and a second reflected signal is captured as a result of the light having the second wavelength being reflected from the biological body. A heart rate signal is obtained based on the first and second reflected signals. A heart rate of the biological body is determined based on the heart rate signal.