64 results about "Target heart rate" patented technology

A control system for controlling an electric bicycle is provided, which includes an electric bicycle, an information processing unit, a monitoring device, an input device, and a display. The electric bicycle and the information processing unit exchange information with each other, and the information includes operation data on the electric bicycle, control data for the electric bicycle, exercise programs. The monitoring device monitors bodily condition of a bicycle rider, and communicates the monitored data with the information processing unit and the electric bicycle. Operations of the electrical bicycle are controlled by collected information and data. The operations of the electric bicycle include a power output level, gear shift, RPM, speed, and acceleration, and the operations of the electrical bicycle are controlled so as to keep a heart rate of the bicycle rider at a target heart rate.

Described is a motivational fitness device, which controls the audio output of a television or audio component in response to the heart rate. The user must exercise in their specific heart rate target training range to keep their entertainment device turned on at an enjoyable volume. A heart rate sensing device relays heart rate to a processor unit. The processor receives and compares the user's heart rate to the specified target range and sends control signals (or not) to the entertainment device. If the user's heart rate drops below the target range, the volume of the audio output of their entertainment device will gradually decrease until the user reacquires their target. Conversely, if the user is exercising too vigorously, the volume will increase, motivating the user to reacquire their target heart rate range.

A user's personal biometric information such as age, sex, weight, height as well as the user's lifestyle information, such as daily caloric input, job description, smoker status and physical fitness, is uploaded onto a host computer. Target heart rate, energy and / or caloric consumption levels related to desired fitness and weight loss goals for a particular individual are then selected having regard to fitness levels for an individual of comparable age, and consuming similar calories are then downloaded to a caloric monitoring unit. The caloric monitoring unit is provided for measuring the user's heart rate and dynamic energy and / or caloric expenditure over one to four weeks. The caloric monitoring unit includes a heart rate monitor, a unit accelerometer, a global positioning system (GPS), and an audio and / or video output. The audio / video output is operable to provide information and / or motivational prompts to the user in the event the heart rate, energy expenditure and / or caloric expenditure falls below or exceeds pre-selected target expenditures over a particular time segment of the selected time period having regard to the calories which are consumed. A display provides a continuously updated visual indication of whether or not the use has achieved the pre-selected optimum caloric burn or energy expenditure for that particular time segment. An internal calendar / clock, a processor and / or memory in the caloric monitoring unit compares measured heart rate and energy expenditures for multiple time segments against target levels stored as the user-specific fitness programme tailored to achieve the desired weight loss. The comparison is then used to generate compliance output data to either the user and / or a nutritionist.

Exercise systems and methods are provided that create and run exercise programs that are custom tailored to individual users. An exercise program for a specific user is based upon the user's average work heart rate and recovery heart rate. The exercise programs may include a series of workouts for the user to perform. Each workout requires the user to exercise at various intensity levels so that the user's heart rate moves between different predetermined target heart rate zones. The target heart rate zones are calculated from data relating to the user's average work heart rate and recovery heart rate. As the user's fitness level changes, the user's average work heart rate and recovery heart rate also change. Creation of new exercise programs uses the most current heart rate data to calculate the target heart rate zones, thereby continuously tailoring the exercise programs to the user.

The invention relates to a method for automatically controlling speed and gradient of an electric treadmill according to the heart rate of a body-builder, which comprises the following steps of: setting ten kinds operating time in five grades; confirming a five-grade Q value; inputting age and sex; calculating a target heart rate B value by a CPU; starting the whole treadmill and improving speed by 0.5km / h per minute when the heart rate does not reach the B value; automatically shutting down under the condition that the heart rate exceeds the B value when the speed is 1 km / h, and the gradient is 0 percent; improving the gradient by 0.5 percent per minute under the condition that the heart rate does not reach the B value yet when the speed is increased to 6km / h, improving the speed according to the grade difference when the gradient reaches 15 percent and the heart rate does not reach the B value yet, keeping unchanged under the condition that the heart rate does not reach the B value yet when the speed is 7km / h, automatically reducing the speed and shutting down when reaching the total running time, and the like. The invention can automatically control and adjust the speed and the gradient of the treadmill and the running time at each time interval intelligently according to the heart rate, lead the body-builder to run according to a reasonable program meeting the self physical ability, meet the running requirements of different body-builders or the same body-builder in different physical states and achieves the aim of scientific exercise.

The invention provides a device and a system for adaptively adjusting pacing frequency. The device comprises a band-pass filter, an over-threshold value detecting and counting unit, a heart rate adaptation unit and a smooth transition unit, wherein the band-pass filter is used for performing band-pass filtering on an acceleration signal sensed by an acceleration transducer; the over-threshold value detecting and counting unit is used for acquiring an exercise intensity estimated value of a human body based on the filtered acceleration signal; the heart rate adaptation unit is used for acquiring a corresponding target heart rate according to a predefined adaptive curve based on the exercise intensity estimated value, wherein the adaptive curve consists of a sub-usual heart rate section which gradually ascends, a platform-shaped usual heart rate section, a super-usual heart rate section which gradually ascends, and a platform-shaped upper limit heart rate section; and the smooth transition unit is used for updating the pacing frequency by employing an approximation curve according to the current pacing frequency and a target heart rate. By the device and the system, the exercise intensity of the human body can be sensitively captured in real time; and therefore, the target heart rate is rapidly adapted, the pacing frequency is updated, and smooth transition from the current pacing frequency to the target heart rate is realized.

A user's personal biometric information such as age, sex, weight, height as well as the use's lifestyle information, such as job description, smoker status and physical fitness, and any injury or malady type is uploaded onto a host computer. Target heart rate, energy and / or caloric consumption levels related to wellness or rehabilitation goals for a particular job type and injury are then selected having regard to fitness levels for an individual of comparable age, performing a similar job function are then downloaded to a wearable monitoring unit. The wearable monitoring unit (WMU) is provided for measuring the user's heart rate and dynamic energy and / or caloric expenditure over one to four weeks. The wearable monitoring unit includes a heart rate monitor, a unit accelerometer, a global positioning system (GPS), one or more force-micro-sensors, and an audio and / or video output. The audio / video output is operable to provide information and / or motivational prompts to the user in the event the heart rate, energy expenditure and / or caloric expenditure falls below or exceeds preselected target expenditures over a particular time segment of the selected time period. A display provides a continuously updated visual indication of whether or not the use has achieved the preselected optimum caloric bum or energy expenditure for that particular time segment. The WMU is provided with an internal calendar / clock, a processor and / or memory The processor compares wellness or measured heart rate and energy expenditure for multiple time segments against target levels stored as the user-specific wellness or rehabilitative physiotherapy programme tailored to provide the maximum therapeutic benefit to the user. The comparison is then used to generate compliance output data to either the user and / or the employer.

The invention discloses a dynamic evaluation method for the cardiac reserve function of healthy pregnant women in moderate-intensity exercises, belonging to the technical field of pregnancy healthcare of pregnant women and particularly exercise healthcare of pregnant women. The method is characterized by being realized in a cardiac reserve function computer evaluation system when the pregnant women take moderate-intensity exercises and comprising the following steps: determining the healthy pregnant women from the personal medical information of the pregnant women sequentially according to the health hierarchical screening rule and pregnant-women risk grouping rule; screening out low-risk pregnant women of which the D / S value is less than 1.0 during exercises by a classifying rule based on the ratio D / S of the diastole time limit to systole time limit according to the pulse wave data measured in exercises; detecting the cardiac reserve function and target heart rate range of the pregnant women by using pulse waves for other healthy pregnant women, and calculating the target heart rate intensity range according to the two modules; and evaluating the exercise time by a pregnant-women exercise time evaluation module according to the international exercise standard for the pregnant women so as to obtain an exercise prescription composed of the target heart rate intensity range and exercise cardiac reserve function value to guarantee effective and safe exercises of the pregnant women.

The invention discloses a cardiopulmonary endurance training strength control method based on an intelligent rowing machine and applicable to common crowds. According to a cardiopulmonary endurance result and a training target heart rate curve of a subject based on rowing machine tests, a motion strength control curve of practical training is calculated, the subject is guided to receive targeted aerobic endurance training on the rowing machine through sound, light and video signals so that the practical heart rate curve can be consistent with the target heart rate curve, the individuation and the differentiation of cardiopulmonary endurance training are achieved, and the effectiveness and the safety of training are improved.

A sound-output-control device including an acquisition unit which acquires an anaerobic threshold, a reception unit which receives an input about exercise intensity, a calculation unit which calculates a value indicating a target heart rate of a user on the basis of the acquired anaerobic threshold and the received exercise-intensity input, a detection unit which detects a value indicating the current tempo of a physical exercise done by the user, and a control unit that controls a sound output on the basis of a result of a comparison of the target heart-rate value calculated by the calculation unit and the current physical-exercise-tempo value detected by the detection unit, so as to lead a heart rate of the user so that the heart rate of the user attains the target heart rate is provided.

The invention discloses a physical education intelligent system based on a sports bracelet and a network cloud platform, relating to the field of Internet of Things information processing. The physical education intelligent system includes a bracelet end, a cloud platform and a Web end. The bracelet end and the cloud platform are connected through a narrow band Internet of Things (NB-IOT) technology, and the Web end and the cloud platform are connected through an Internet network. According to the invention, a modern biomedical sensing technology and a modern information and communication technology are utilized to combine the sports bracelet with the network cloud platform, the physical education intelligent system for analyzing and evaluating the teaching effect of a physical education class based on a target heart rate (THR) is established, by means of the individual evaluation standard, the exercise condition of an exerciser is evaluated simply, conveniently and accurately, supervision, analysis and evaluation of exercise individuals and groups are achieved, and scientific early warning of exercise dangerous situations is achieved.

The invention discloses a personalized exercise target heart rate design system and its use method, including a health terminal device and a system platform, the system platform is used to give a heart rate prescription according to the user's health data and exercise purpose; the health terminal device It is used for real-time data measurement of the user's heart rate. The present invention collects the user's personal physiological indicators, biochemical indicators, exercise level, medical history and other data, and conducts scientific analysis and evaluation according to the prescribed standards in medical prevention and treatment guidelines and standards, classifies according to the standards of each data index, and classifies users with different combinations crowd. According to the group of people, the personalized sports target heart rate is formulated for users, and the physical condition of users is detected in real time to ensure the effect of sports intervention, reduce sports injuries, and reduce sports costs.

The invention discloses an effective exercising evaluating method based on cardiovascular endurance grade and RPE (retina pigment epithelium) feedback. The effective exercising evaluating method comprises the following steps of monitoring the heart rate of exercising through a heart rate monitor, recording the exercising data in the exercising process of a user, and scoring the RPE after the exercising is fished; automatically feeding back according to the RPE scores, and adjusting the target heart rate and exercising intensity. The effective exercising evaluating method has the advantage thatby combining with intelligent equipment, the self exercising process can be continuously adjusted so as to reach the safest and effective exercising intensity, and ensure the scientific and reasonable exercising.

A sound-output-control device including an acquisition unit which acquires an anaerobic threshold, a reception unit which receives an input about exercise intensity, a calculation unit which calculates a value indicating a target heart rate of a user on the basis of the acquired anaerobic threshold and the received exercise-intensity input, a detection unit which detects a value indicating the current tempo of a physical exercise done by the user, and a control unit that controls a sound output on the basis of a result of a comparison of the target heart-rate value calculated by the calculation unit and the current physical-exercise-tempo value detected by the detection unit, so as to lead a heart rate of the user so that the heart rate of the user attains the target heart rate is provided.

The invention discloses a system capable of providing appropriate aerobic exercise amount for a user. The system comprises a central processing unit, a heart rate detecting band, an exercise action library, an exercise detecting module, an exercise guiding module, an exercise self-assessment module and steps, wherein the heart rate detecting band, the exercise action library, the exercise detecting module, the exercise guiding module and the exercise self-assessment module are connected with the central processing unit. The resting heart rate of the user is detected according to the heart ratedetecting band to determine an exercise target heart rate interval, and thus the safe exercise time within a period is obtained; the current exercise time is determined by detecting the immediate heart rate in the exercise process of the user; accordingly the residual aerobic exercise amount of the user in the period is calculated according to the safe exercise time. The user can obtain healthierexercise guidance through real-time exercise monitoring, analysis and feedback, the phenomenon is avoided that blind exercise causes poor exercise effect or improper exercise harms the body, the usercan adjust aerobic exercise suitable for him / her according to his / her exercise intensity and time, exercise can be more scientific and targeted, and the purpose of scientific exercise is achieved.

The invention discloses a heart rate measuring method, a device thereof, computer equipment and a storage medium, which relate to the field of artificial intelligence. The heart rate measuring methodincludes: acquiring a target amplitude spectrum according to a heart rate measuring signal, where the target amplitude spectrum includes a signal point, and a coordinate value of the signal point includes an amplitude value and a frequency value; obtaining a maximum value signal point in the signal point according to the amplitude value and the frequency value of the signal point; obtaining a preset number of maximum value signal points to-be-observed from the maximum value signal point, wherein the amplitude value of the maximum value signal to-be-observed is greater than the amplitude valueof the other remaining maximum value signal points; according to the amplitude value of the maximum value signal point to-be-observed, searching the target maximum value signal point of dominant heartrate measurement in the to-be-observed maximum value signal point; and the target heart rate value is obtained according to the target maximum value signal point. The heart rate measuring method caneffectively perform heart rate measurement in actual processing to ensure the accuracy of heart rate measurement.

The embodiment of the invention provides a contactless heart rate testing method and related equipment. The method and the related equipment are used for greatly improving the accuracy and reliabilityof recognition of a heart rate. The method includes the steps of collecting heart rate data of a person whose heart rate is about to be tested through a preset sensor; determining a heart rate prediction convolutional neural network CNN model; inputting the heart rate data into the heart rate prediction CNN model to output a periodic curve; converting the periodic curve to a target heart rate through Fourier transform, wherein the target heart rate is the heart rate of the person whose heart rate is about to be tested.

The invention relates to a control method of a load movement device and a system thereof. The method comprises the following steps: acquiring a high-frequency QRS electrocardiosignal of a testee in a motion stage; acquiring a maximum heart rate value of the testee in a first preset time period in the exercise stage; and when the control module receives that the maximum heart rate value does not reach the first target heart rate value, controlling the motion stage to run for a second preset time period. In the physical examination process, by obtaining the high-frequency QRS electrocardiosignals, namely the QRS electrocardiosignals with the frequency being 100 HZ or above, of the testee, the accuracy of recognizing the heart health condition during physical examination can be greatly improved.

The invention relates to the technical field of signal processing. The invention aims to provide a multi-target heart rate and breath measuring method and system matched with different radar bandwidths. Therefore, accurate non-contact measurement of heart rates and breath of a plurality of target human bodies is realized. According to the technical scheme, the method comprises the following stepsof: transmitting an electromagnetic wave signal to a to-be-measured space through a radar transmitter configured as a first bandwidth, and processing a received first echo signal reflected by each target human body to obtain position information of each target human body in the to-be-measured space; configuring a radar transmitter as a second bandwidth, and performing radar beam forming accordingto the position direction of each target human body in the to-be-measured space; processing second echo signals to obtain an echo sequence of each target human body; and obtaining breath characteristic signals and heart rate characteristic signals from the echo sequence, and performing noise reduction and fast Fourier transform on the two types of characteristic signals to restore breath and heartbeat motion information. According to the invention, the accuracy of breath and heartbeat measurement is improved.

The invention relates to the field of intelligent training instruments, and provides a method for adjusting the speed and slope gradient of a treadmill in real time according to heart rate change, wherein the method comprises the steps: S201, monitoring and acquiring the current heart rate of a user during exercise in real time, and executing S202 to S205 if the current heart rate of the user is not within the target heart rate range of the user; S202, calculating the difference between the current heart rate and the target heart rate range mean value; S203, establishing a polynomial formula according to the test heart rate, the test intensity, the resting heart rate and the resting intensity of the user; S204, according to the difference between the current heart rate and the target heartrate range mean value and the polynomial formula, calculating to obtain the difference value between the current strength of the treadmill and the target strength, and obtaining the target strength according to the current strength of the treadmill and the difference value; and S205, converting the target strength into a target speed and a target slope gradient through a strength-speed / slope gradient conversion formula. According to the method, the speed and / or slope gradient of the treadmill can be dynamically adjusted, and individual, fine and rapid heart rate adjustment requirements are met.

The invention provides a fitness auxiliary system combined with an adaptive exercise prescription. The system comprises a mobile-end device for collecting heart rate and step number data of a user during exercise; a PC-end system for analyzing and processing the data collected from the mobile-end device and obtaining the user self-adaptive exercise prescription; a wireless communication module for achieving the data transmission between the mobile-end device and the PC-end system; the data of the daily exercises of an exerciser using a target heart rate as the standard is collected, an exercise growth curve suitable for the exerciser is fitted, and the self-adaptive exercise prescription is obtained. According to the fitness auxiliary system combined with the adaptive exercise prescription, the tedious processes of having to do a lot of physical tests in the early stage of the exercise prescription are reduced, and the exercise prescription work is completed through the user exercise for short time and the feedback of the exercise conditions only; meanwhile the mobile-end device and the PC-end system are combined, and the scientific fitness effect for the user can be achieved more effectively.

The invention discloses a heart rate value determination method and device, wearable electronic equipment and a medium, and belongs to the technical field of heart rate monitoring. The method comprises the following steps: respectively acquiring a target PPG signal and a target motion signal corresponding to a user; inputting the target PPG signal and the target motion signal into a target deep learning network model to obtain a first heart rate value; and determining a target heart rate value based on the first heart rate value and N historical heart rate values, wherein N is a positive integer.

The invention provides a detection kit and a computing method for assessing a maximal heart rate and a target heart rate of a human body. According to the gene detection kit for assessing the maximal heart rate of the human body provided by the invention, the kit comprises a kit body and reagents which are kept individually in the kit body, wherein the reagents include (1) a PCR reaction (polymerase chain reaction) primer group in accordance with SNP (single nucleotide polymorphism) sites of four genes, (2) a PCR amplification reagent, and (3) an agarose gel electrophoresis analysis reagent. Through the design of the PCR primers, a plurality of PCR amplification reactions can be synchronously implemented on a same PCR instrument, related genes of a tested object are detected with high efficiency and specificity, and genetic factors of the maximal heart rate are obtained upon analysis, so that a reasonable heart rate range suitable for bodybuilding exercise is provided for the tested object; therefore, corresponding heart health risks are assessed and corresponding strategies are adopted to avoid invalid, and even harmful, ways. Meanwhile, a heart rate index in a training stage is also provided for professional athletes.

The invention discloses a non-contact type heart rate measurement method based on CMOR wavelets. The method comprises steps as follows: firstly, a 60s testee face video in an AVI format is recorded with natural light as a light source, the recorded video is detected, the detected human face area is outlined and cut out by a polygon and set as a reconstructed face image, and then the eyes, the nose, the mouth and the center point of the face are selected as tracking characteristic points; the reconstructed face image is converted into YCbCr space for skin detection; Cg channel green concentration deviation is sequentially recorded for other frames except the face in the recorded video; the Cg channel green concentration deviation is taken as an original PPG signal and subjected to band-passfiltering processing, noise signals outside pass bands are filtered out, and a target heart rate signal is obtained; and the target heart rate signal is subjected to CMOR wavelet analysis to obtain awavelet time-frequency graph. The heart rate can be accurately measured in real time, and the defects that a conventional peak interval algorithm has larger error and a heart rate parameter as a dominant component in a period of time can only be extracted by Fourier transform are overcome.

The embodiment of the invention discloses a feature point detecting method and device, equipment and a storage medium. The method comprises the steps of obtaining periodical physiology signals of a testee, according to the physiology signals, determining the initial heart rate of the testee, and according to the initial heart rate, determining search parameters; based on a preset time sliding window detection strategy, detecting first limit valve points from the physiology signals, and if the first limit valve points are the neighbouring limit valve points in a search neighbouring region, determined by the first limit valve points and the search parameters, using the first limit valve points as second limit valve points; after the second limit valve points of a first preset number are obtained, according to the second limit valve points, calculating the target heart rate, and based on the target heart rate, determining the search parameter newly; and repeating the step for detecting the first limit valve points from the physiology signals based on the preset time sliding window detection strategy, until the physiology signal detection is complete, and according to the second limitvalve points, detecting feature points. According to the technical scheme of the embodiment of the invention, the effect of pinpoint detection of the feature point is achieved.

The invention belongs to the technical field of medical apparatuses and instruments and discloses an intelligent lung function training control system for the respiratory medicine department. The intelligent lung function training control system comprises an input module, a control module, a drive module, a testee, an electrocardio telemetering module, a spirometer, a recording module and a display module. The input module is connected with the control module; the control module is connected with the drive module; the drive module is connected with the testee; the testee is connected with theelectrocardio telemetering module and the spirometer; the electrocardio telemetering module and the spirometer are connected with the control module and the recording module; and the recording moduleis connected with the display module. The cardiopulmonary data like the target heart rate, the maximal training heart rate, the maximum training heart rate, the maximal systolic pressure, the diastolic pressure, the minimum oxyhemoglobin saturation, the oxygen uptake, the carbon dioxide expiratory volume and the air flow of the testee are monitored in real time and are recorded and displayed in real time in the process of training and recovering of a patient; the body condition of the testee is judged and whether the training overloads is judged according to the measured data, then the training is stopped emergently, and the health safety of the testee is protected.

The invention relates to the technical field of vehicle control, in particular to a control method and device of an excavator. The method includes the steps that after a start instruction is received,a preset number of times of heart rate values of a driver are acquired, a current target heart rate level of the driver is determined according to the preset number of times of heart rate values of the driver and basic information of the driver, a control strategy matched with the target heart rate level is determined according to the determined target heart rate level, and a driving device of the excavator is controlled according to the control strategy. According to the method, by determining the current target heart rate level of the driver, the current physical condition of the driver isdetermined, and the safety of operating and driving the excavator can be improved by controlling the driving device of the excavator according to the current physical condition of the driver.

The embodiment of the invention discloses an exercise recommendation method based on a human physiological regulation model. The method includes the following steps: the target heart rate of exerciseis derived according to the exercise effect target and the total exercise time set by a user, and human exercise thermal physiological state simulation calculation and human cardiovascular function state simulation calculation are carried out to get a simulation result of dynamic change of the heart rate under exercise condition; and the simulation result of heart rate change is compared with thetarget heart rate, if the simulation result of heart rate change is inconsistent with the target heart rate, the metabolic value is modified, and iterative calculation is carried out again by startingfrom human exercise thermal physiological state simulation, and if the simulation result of heart rate change is consistent with the target heart rate, an exercise scheme is output. In the embodimentof the invention, the method takes account of individual differences, environment and dressing conditions, prediction is carried out through computer simulation, and there is no need for users to wear a heart rate monitoring device in real time and make dynamical adjustment. The method is very convenient in use.