158 results about "Heart rate measure" patented technology

An apparatus, medium, and method for calculating calorie consumption of a user performing physical activity. More particularly, an apparatus, medium, and method for calculating calorie consumption can determine a user's activity pattern via an acceleration sensor attached to the user, and calculate the user's calorie consumption by using a predetermined slope value according to the activity pattern and a heart rate measured via a heart rate sensor attached to the user. Accordingly it is possible to calculate calorie consumption of a user performing physical activity by considering the user's heart rate and the type of physical activity and accurately calculate the calorie consumption by using both an acceleration sensor and a heart rate sensor.

Portable equipment including in combination a heart rate measuring device and a sound reproduction unit including means for supplying a signal representative of the sound reproduction and for supplying sound information to a sound transducer, wherein said measuring device and said sound transducer are mounted at least in part in an assembly adapted to be fixed to an ear of a wearer of the equipment and, wherein said sound reproduction unit includes means for optionally substituting for and/or superimposing on said signal representative of said sound reproduction a signal generated from signals from said measuring device and representative of said heart rate. The equipment can take the form of a walkman, for example, or a hearing aid for the hard of hearing.

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.

A biofeedback device and the light sensor used thereby are described herein that can be mounted on or integrated with eyewear such as swimming goggles. The biofeedback device may include a heart rate measurement apparatus comprising a reflected green light sensor, and first, second, and third green light emission elements. The biofeedback device may include a housing having a first portion and a second portion, which each of the first and second portions having a first side and a second side. At least a portion of the heart rate measurement apparatus may be disposed within the housing first portion and may be exposed through an opening in the second side of the housing first portion. The biofeedback device may also include an opening that allows the device to be removably engageable with at least a portion of the swimming goggles.

A Photoplethysmography-based sensor for measuring heart rate is provided herein. The sensor may include a first light source and a second light source configured to illuminate a body tissue by a first light and a second light respectively; and a first and a second light detectors, each configured to detect light comprising portions of said first light and of said second light, transferred through the body tissue; and a processor with an analog measurement part configured to: receive light intensity readings of at least a portion of light as sensed by each one of both sensors and coming from each one of both sources; and calculate a measure of tissue absorption based on ratios of light portions transmitted by each one of both sources and measured by each one of both detectors.

A biofeedback device and the reflected infrared sensor used thereby are described herein that can be mounted on or integrated with eyewear such as swimming goggles. The biofeedback device includes a heart rate measuring apparatus comprising a reflected infrared sensor, a microcontroller comprising one or more filters and one or more amplifiers, a power source in electrical communication with the heart rate measuring apparatus, and a user interface. The reflected infrared sensor is positionable to detect heart rate from the temporal artery in the head. Heart rate is then communicated to the user by one or more tactile, auditory, or visual signal elements, such as a light-emitting diode display mounted within the goggles so as to be visible to the user while swimming.

The invention discloses an intelligent fat-reducing treadmill and a body building instruction method thereof. The intelligent fat-reducing treadmill is characterized by comprising a body fat rate measuring module, an exercising heart rate measuring module, a control and processing module, a man-machine interaction module, a power module and a treadmill body. The intelligent fat-reducing treadmill is capable of providing corresponding fat-reducing exercising schemes for different users, so that more humanized and intelligent body building purposes are achieved.

The invention relates to a method applied in connection with a personal non-invasive heart rate measuring arrangement. In the method, information is supplied to the heart rate measuring arrangement to form several heart rate limit alarm pairs, each of which comprises a lower limit and an upper limit for the heart rate. Time information on each heart rate limit pair is also supplied in the method, the time information indicating a time period during which a heart rate limit alarm pair or at least one of the heart rate limits of a heart rate limit alarm pair is effective during the exercise, controlling the exercise. A heart rate limit alarm sequence progressing in accordance with the time information on the heart rate limit alarm pairs is formed in the method from the heart rate limit alarm pairs, and the heart rate limit alarm sequence is used during the exercise to control the exercise.

The invention discloses a sensing system for animal individual feed intake and health condition monitoring. The system comprises an RFID ear identifier identification module, a sensor system, an upper computer, a communication device, and a PC machine. The sensor system comprises an infrared sensor, an animal feed intake measuring module, a body temperature measuring module, and a heart rate measuring module. The animal feed intake measuring module comprises a micro vibration sensor. The body temperature measuring module comprises an infrared temperature sensor. The heart rate measuring module comprises a heart rate sensor. The upper computer is also provided with a micro-storage. A microcontroller is connected with the micro-storage. The micro-storage is connected with the PC machine through the communication device. The system and the method solve problems of real-time online detection of livestock animal feed intake and health conditions, and are suitable for long-term real-time monitoring of multi-class captive-bred animals, and greatly reduce manpower and material resources, and are beneficial for supervising growth processes and health conditions of animals.

The invention discloses a non-contact type heart rate measuring method based on convolutional neural network. The non-contact heart rate measuring method comprises the steps of 1, according to the peak-to-peak value spacing information of an ECG signal or a BVP signal, constructing a pre-training image for reflecting the heart rate changes of a human body; 2, adjusting the structure of a model, and initializing the convolutional neural network through parameters which are pre-trained on an ImageNet data set; 3, inputting the pre-trained image as a training set into the convolutional neural network for training, and regulating the parameters of the network; 4, generating a time and space characteristic image for reflecting the heart rate changes of the human body through real human face videos; and 5, inputting the time and space characteristic image into the convolutional neural network for training, adjusting the parameters of the network, and finally obtaining the optimal heart rateforecasting model. The non-contact type heart rate measuring method disclosed by the invention can improve the accuracy and the robustness of heart rate measurement under complex scene.

An alertness prediction bio-mathematical model for use in devices such as a wearable device that improves upon previous models of predicting fatigue and alertness by gathering data from the individual being monitored to create a more accurate estimation of alertness levels. The bio-mathematical model may be a two-process algorithm which incorporates a sleep-wake homeostasis aspect and a circadian rhythm aspect. The sleep-wake homeostasis aspect of the model is improved by using actigraphy measures in conjunction with distal skin, ambient light and heart rate measures to improve the accuracy of the sleep and wake estimations. The circadian rhythm model aspect improves fatigue prediction and estimation by using distal skin, heart rate and actigraphy data. The sleep-wake homeostasis and circadian rhythm aspects may also be combined with additional objective and subjective measures as well as information from a user to improve the accuracy of the alertness estimation even further.

The invention discloses a method for measuring a human body heart rate on basis of a mobile phone image. The method is characterized in that the method comprises the following steps of obtaining PPG signals, obtaining a finger image through a mobile phone, processing the finger image through an FFT algorithm, then carrying out filtering, and calculating power density to determine the PPG signals by utilizing the filtered PPG frequency spectrum information and combining weights of three kinds of pixel protection information; measuring the human body heart rate, detecting peak waves by analyzing the PPG signals, reducing noise signals in the PPG signals, demodulating the human body heart rate from the PPG signals, and achieving high-precision measurement on heart rate physiological parameters. The method mainly improves measured effects, and improves the precision of the existing mobile phone heart rate measuring technology and the stability of measurement, and people can effectively monitor key physical indexes representing states of chronic diseases and know own physical conditions in time and with low cost.

A wearable device for administering a pharmaceutical has a housing, a heart monitor disposed in the housing, a microprocessor connected to the heart monitor, a receptacle for holding a pharmaceutical disposed in the housing, the receptacle being in communication with a conduit leading out of the housing, an actuator connected to the receptacle and being configured to release the contents of the receptacle into the conduit upon a command from the microprocessor, and a power source disposed in the base body and being configured to power the microprocessor, the heart monitor and the actuator. The microprocessor is programmed to actuate the actuator to release the contents of the receptacle when a heart rate measured by the heart monitor falls outside a preprogrammed range.

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 discloses a heart rate monitoring wearable device and a monitoring method based on the photoelectric volumetric method. The invention is based on the photoelectric volumetric method to monitor the heart rate of the elderly in real time. The heart rate measurement module uses a heart rate sensor and embeds the heart rate sensor in a wearable watch middle. The main control chip is C8051F340, which is used to control the work of the sensor as well as signal processing and calculation. In order to make the measurement more accurate, there are two heart rate sensors on each wearable device, which measure the heart rate at the ulnar artery and the radial artery respectively. During the measurement process, due to the intentional or unintentional movement of the elderly, motion artifacts will be generated, which will affect the calculation results. Therefore, the output PPG signal needs to be processed (removing motion artifacts) after being amplified and input to the main control chip after analog-to-digital conversion. Perform heart rate calculations. The present invention uses a compressed sensing algorithm to filter the noise of the PPG signal, and since both the signal and the noise are unknown, the gradient projection algorithm is used to recover the signal, and finally the PPG signal is reconstructed.

The invention discloses a method for detecting whether an automobile driver steps on an accelerator by error or not. A near infrared spectrum blood oxygen monitor probe is installed and connected with a near infrared spectrum blood oxygen monitor through a data line; an acceleration sensor connected with a data processing system is installed; a pre-judgment threshold value and an error-stepping judgment threshold value are set; the pre-judgment threshold value and the error-stepping judgment threshold value are input into the data processing system; the blood oxygen saturation degree of the driver is measured every other minute, the heart rate of the driver is obtained through wavelet conversion and analysis of the data processing system, and the obtained heart rate is compared with the pre-judgment threshold value; if the instant heart rate measured for continuous fifteen times is larger than the pre-judgment threshold value, it is judged that the driver is nervous, and error stepping danger exists; the acceleration sensor starts to work, the acceleration value of an accelerator pedal is measured in real time, the instant acceleration value is compared with the error-stepping judgment threshold value by the data processing system, and it is judged that the accelerator pedal is stepped on by error if the instant acceleration value is larger than the error-stepping judgment threshold value. The invention further discloses a detection device used in the method.

The invention provides a heart rate measuring method, a heart rate measuring device and a terminal. The heart rate measuring method comprises steps of acquiring a heart rate measuring image matrix of a user via a fingerprint identifying module; acquiring a heart rate measuring parameter value according to the heart rate measuring image matrix; and determining the heart rate of the user according to the heart rate measuring parameter. In this way, in the case that additional terminal hardware cost and user consumption cost are not additionally increased, precise measurement of the heart rate of the user can be achieved by fully using the existed fingerprint identifying module of the terminal, so functions of the fingerprint identifying module and of the terminal are expanded and practicability of the fingerprint identifying module is improved, thereby improving user experience.

The invention provides a heart rate measuring method based on a mobile phone. The heart rate measuring method comprises the steps of information collecting, information processing and heart rate calculation. The invention relates to a heart rate measuring system based on the mobile phone. The heart rate measuring system comprises a camera, a flash lamp, a displaying screen and a heart rate calculating module. The camera collects light emitted by the flash lamp and reflected by a human body, a sampling signal is obtained, the heart rate calculating module conducts processing on the sampling signal, a processing signal is obtained, the heart rate calculating module obtains an amplitude-versus-frequency curve of a red component of the processing signal, a heart rate value is recorded according to the peak value of the amplitude-versus-frequency curve, and the displaying screen displays the heart rate value. The invention further relates to electronic equipment and a computer readable storage medium. The measuring tool is simple and common and convenient to carry, data management is reliable, the measuring cost is low, and the problem that the heart rate measuring precision is low by using a smart mobile phone through arrangement of a red component threshold value and a sampling frequency.

A heart-rate measuring apparatus is provided a database, acquisition unit, production unit, search unit, cross-correlation processing unit, and calculation unit. In the database, one or more sets of electrocardiogram (ECG) waveform data, serving as reference waveform data, of persons being examined are stored in advance. The acquisition unit acquires a heartbeat signal from a person being examined. The production unit produces ECG waveform data based on the acquired heartbeat signal. On the basis of the produced ECG waveform data, the search unit searches the database for reference waveform data of the person. The cross-correlation processing unit performs cross-correlation processing between the produced ECG waveform data and the searched reference waveform data, and the calculation unit calculates the heart rate based on the cross-correlated ECG waveform data using values of R-R intervals of the waveform.

The invention relates to the field of heart rate measurement, in particular to a wrist type real-time dynamic heart rate measuring method based on PPG. A transmitter control module, a receiver module, a band-pass filtering module, a signal analysis module and a frequency spectrum selection module are adopted in the method, and a final precise heart rate spectral line is obtained after a heart rate signal is sequentially processed by the modules. With the adoption of the method, no additional noise reference source is required, the operation mount is small, the operation speed is high, and the heart rate signal can be extracted more accurately and quickly under the condition that a human body keeps movement and even intense movement.

An evaluator includes a heart rate variability analyzer A having a heart rate measuring instrument, a heartbeat interval measuring instrument, a frequency analyzer, a sympathetic/parasympathetic nervous system index analyzer, and a psychiatric symptom/psychotic disorder onset risk calculator, and a random number generation analyzer having a random number input unit, a random number score calculation unit, and a display unit. Frequency analysis of a heart rate measurement and a heartbeat interval measurement of a subject is performed to determine a high-frequency index, a low-frequency index and a ratio therebetween,

The invention discloses an embedded heart rate measuring system based on vision and a measuring method thereof. Errors caused by a face detection algorithm are reduced by fixing the acquisition area of a video frame, and eliminating dynamic capture of a face scheme. Based on the change of a face location scheme, the three components of each video frame face region R, G, B are summed instead of averaged to use as a feature of the video frame. The error of the result of obtaining the heart rate by the Fourier spectrum analysis is great. The invention provides a method for calculating the heart rate, a signal peak is processed, and then the signal peak is counted to derive the heart rate value.