CN203944108U - Fitness system with physical ability diagnosis function - Google Patents

Fitness system with physical ability diagnosis function Download PDF

Info

Publication number
CN203944108U
CN203944108U CN201420226446.1U CN201420226446U CN203944108U CN 203944108 U CN203944108 U CN 203944108U CN 201420226446 U CN201420226446 U CN 201420226446U CN 203944108 U CN203944108 U CN 203944108U
Authority
CN
China
Prior art keywords
physiological parameter
module
physical efficiency
sporter
matter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201420226446.1U
Other languages
Chinese (zh)
Inventor
邹朝圣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Application granted granted Critical
Publication of CN203944108U publication Critical patent/CN203944108U/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Landscapes

  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The utility model provides a body-building system with physical stamina diagnostic function, it contains motion module, energy conversion module, calorie calculation module, physiological parameter and listens module, can extend identification module and data storage module. Wherein, the user operates the exercise module, the energy conversion module converts the power generation efficiency and the consumed calorie, the physiological parameter detection module measures the physiological signal during exercise, the extension identification module judges the physical ability, the heartbeat state and the exercise level of the user, and provides a proper exercise mode or exercise intensity suggestion, thereby increasing the exercise efficiency and avoiding the exercise injury. Furthermore, the exercise electric energy converted by the energy conversion module can be fed back to the body-building system.

Description

The body-building system with performance diagnosis function
Technical field
The utility model relates to a kind of body-building system, particularly utilizes the physiological signal while measuring motion, and by extension distinguish module, judges the body-building system of user's physical efficiency and heartbeat state and motion exercise grade.
Background technology
The object of body-building apparatus is exactly in order to promote user's motion physical efficiency and then to reach healthy physical efficiency standard.Use body-building apparatus to set a suitable sport rank depending on the suitable energy of user's body at that time situation, allow user in the situation that can bearing load, fill part and suitably motion, and in a planned way promote user's the suitable energy of body.
Although the physiological status while at present having several different methods can detect user to move, but be only all to measure post exercise physiological signal, example: the basic physiological information such as heat of heartbeat, consumption, cannot Efficient Evaluation and anticipation user's physical efficiency situation, to do advance preventing, remind.
Take a broad view of front described in, hereat, the creator of the utility model concentrates on studies, thinks and design a kind of body-building system with performance diagnosis function through pains for many years, improved, and then the enforcement in enhancement industry utilizes with the disappearance for prior art.
Utility model content
Because above-mentioned known problem, the object system of the utility model proposes a kind of body-building system with performance diagnosis function, utilize extension distinguish module to give real-time feedback, suitable correction motion pattern or exercise intensity suggestion is provided, increase body-building efficiency and avoid athletic injury.
According to the object of the utility model, propose a kind of body-building system with performance diagnosis function, it comprises motion module, energy conversion module, calorie calculating module, physiological parameter detecting module, extension distinguish module and data storage module.Motion module system operates for sporter.Energy conversion module is that the motion energy that converting motion module produces according to sporter's motor performance is converted into motion electric energy, and calculates its generating efficiency and motion electric energy is stored.Calorie calculates module can be according to generating efficiency to calculate sporter's the calorie of consumption.Physiological parameter detecting module system detecting sporter is in preoperative the first physiological parameter and the second physiological parameter after spacing after a while.Extension distinguish module system can open up matter-element model according to opening up Theoretical Construction, matter-element model be can open up and the first matter-element and the second matter-element comprised, when sporter's operational movement module, receive and consumed calorie, the first physiological parameter and the second physiological parameter, and differentiate and physiological parameter classification to pick out sporter's physical efficiency according to opening up matter-element model.Data storage module system stores the first physiological parameter, the second physiological parameter, physical efficiency discriminating and physiological parameter classification.Wherein motion electric energy system supply electric power gives a calorie calculating module, physiological parameter detecting module, extension distinguish module and data storage module.
Preferably, the first physiological parameter or the second physiological parameter can be sporter's heart rate variability degree, and described heart rate variability degree comprises heart rate (HR), very low frequencies difference power (DVLF), high frequency power (HF), the interval standard deviation (SDNN) of R-R or coefficient of variation value difference (DCV).
Preferably, the first matter-element system is denoted as:
Wherein, E is this first matter-element, physical efficiency differentiates that i is that i physical efficiency differentiated, Wi1 is the minimum movement heart rate in i physical efficiency differentiated, Wi2 is the maximal exercise heart rate in i physical efficiency differentiated, Xi1 is the minimum winding number in i physical efficiency differentiated, Xi2 is the maximum winding number in i physical efficiency differentiated, Yi1 is that the minimum in i physical efficiency differentiated is trampled voltage, Yi2 is that the maximum in i physical efficiency differentiated is trampled voltage, Zi1 is the minimal consumption calorie in i physical efficiency differentiated, and Zi2 is the maximum consumption calorie in i physical efficiency differentiated.
Preferably, the second matter-element system is denoted as:
Wherein, H is the second matter-element, physiological parameter classification j is j physiological parameter classification, Vj1 is the minimum very low frequencies difference power (DVLF) in j physiological parameter classification, Vj2 is the maximum very low frequencies difference power (DVLF) in j physiological parameter classification, Hj1 is the minimum high frequency power (HF) in j physiological parameter classification, Hj2 is the maximum high frequency power (HF) in j physiological parameter classification, Sj1 is the interval standard deviation (SDNN) of the minimum R-R in j physiological parameter classification, Sj2 is the interval standard deviation (SDNN) of the maximum R-R in j physiological parameter classification, Dj1 is the minimum very low frequencies difference power (DVLF) in j physiological parameter classification, and Dj2 is the maximum very low frequencies difference power (DVLF) in j physiological parameter classification.
Preferably, the body-building system with performance diagnosis function of the utility model more comprises display module, can show sporter's the second physiological parameter, physical efficiency discriminating and physiological parameter classification.
Preferably, display module more comprises alarm module to remind sporter to note.
Preferably, time interval system sets according to sporter's condition.
Preferably, data storage module more comprises communication module to transmit data to server.
The main purpose of the utility model ties up in a kind of body-building system with performance diagnosis function is provided, and is not affecting under existing function, and it can have following a plurality of advantage:
1. monitoring in real time: can give real-time feedback according to the information that can open up recognition module interpretation, suitable correction motion pattern or exercise intensity suggestion is provided, increase body-building efficiency and avoid athletic injury.
2. be good for and examine energy storage: integrate health examination and the large module of movement power generation two, see through the state that the physiological parameter signal while measuring motion moves instantly with analysis, and utilize kinergety to reclaim converting electrical energy supply, and by display module to allow user understand self physical ability situation.
In order to allow the gain after above-mentioned purpose, technical characterictic and actual enforcement more become apparent, will be that assist a ruler in governing a country with better enforcements example that correspondence is correlated with graphic carries out more detailed explanation below.
Accompanying drawing explanation
Fig. 1 is the block diagram with the body-building system of performance diagnosis function of the present utility model.
Description of reference numerals: motion module 10, energy conversion module 20, calorie calculate module 30, physiological parameter detecting module 40, extension distinguish module 50, data storage module 60, motion energy 101, motion electric energy 201, generating efficiency 205, consume calorie the 301, first physiological parameter 401, second physiological parameter 402, can open up matter-element model 51, the first matter-element 511, the second matter-element 512, physical efficiency differentiate 521, physiological parameter classification 522.
The specific embodiment
Preferred embodiment the utility model is described in further detail to contrast accompanying drawing combination below; and the accompanying drawing that wherein used; be only the use of signal and aid illustration book; may not be for the true ratio after the utility model enforcement and precisely configuration, therefore should not limit to protection domain of the present utility model with regard to ratio and the configuration relation of accompanying drawing.
Advantage of the present utility model, feature and the technical method reaching are explained in more detail and are easier to understand with reference to exemplary embodiments and accompanying drawing, and the utility model or can multi-formly realize, therefore should not be understood the embodiment that only limits to this place statement, on the contrary, for affiliated technical field technical staff, the embodiment providing will make originally to provide more thorough and pass on category of the present utility model comprehensively and intactly, and the utility model will only be defined by claims.
Refer to Fig. 1, it is the block diagram of the body-building system with performance diagnosis function of the utility model.In figure, can know, the body-building system with performance diagnosis function comprises motion module 10, energy conversion module 20, calorie calculating module 30, physiological parameter detecting module 40, extension distinguish module 50 and data storage module 60.Motion module 10 is the operation for a sporter, and motion module 10 can be the sports equipment that gyrobus or exercycle etc. can add electricity generation module.
The motion energy 101 being produced when energy conversion module 20 is converting motion module 10 according to sporter's motor performance is reclaimed and is converted to motion electric energy 201, and sees through and calculate generating efficiency 205 to analyze winding number, the output current of motion module 10 runnings and to trample the parameters such as voltage.The floating voltage that energy conversion module 20 more can be produced motion module 10 through charge controller converts burning voltage to and is stored in battery, and can utilize the equipment such as transforming circuit and current transformer so that motion electric energy 201 is used for city's electric loading and USB load.Wherein motion electric energy 201 can directly be supplied electric power to system module uses such as a calorie calculating module 30, physiological parameter detecting module 40, extension distinguish module 50 and data storage modules 60.
It is to calculate sporter's the calorie of consumption 301 according to generating efficiency 205 that calorie calculates module 30, its principle is utilize output current and trample the data such as voltage, in the hope of instantaneous power and by integral operation, convert energy to, then convert the calory count that sporter consumes to.
40 of physiological parameter detecting modules are to apply to detect sporter in preoperative the first physiological parameter 401 and the second physiological parameter 402 after a time interval.So time interval can be set voluntarily according to sporter's condition, and can survey sampling frequency by set amount.Wherein the first physiological parameter 401 or the second physiological parameter 402 be by the electro-cardio signal that measures sporter to analyze heart rate variability degree, heart rate variability degree comprises the physiological parameter signal characteristics such as heart rate (HR), very low frequencies difference power (DVLF), high frequency power (HF), the interval standard deviation (SDNN) of R-R and coefficient of variation value difference (DCV).
Extension distinguish module 50 is the identification module that utilization can be opened up the construction of theoretical institute, extension distinguish module 50 comprises can open up matter-element model 51, matter-element model 51 be can open up and the first matter-element 511 and the second matter-element 512 comprised, when sporter's operational movement module 10, can receive and consume calorie the 301, first physiological parameter 401 and the second physiological parameter 402, and according to opening up matter-element model 51 to pick out sporter's physical efficiency discriminating 521 and physiological parameter classification 522.
Wherein the first matter-element 511 is to be denoted as:
Wherein, E is the first matter-element 511, physical efficiency differentiates that i521 can be i physical efficiency and differentiates 521, Wi1 can be i physical efficiency and differentiates the minimum movement heart rate in 521, Wi2 can be i physical efficiency and differentiates the maximal exercise heart rate in 521, Xi1 can be i physical efficiency and differentiates the minimum winding number in 521, Xi2 can be i physical efficiency and differentiates the maximum winding number in 521, the minimum that Yi1 can be in i physical efficiency discriminating 521 is trampled voltage, the maximum that Yi2 can be in i physical efficiency discriminating 521 is trampled voltage, Zi1 can be i physical efficiency and differentiates the minimal consumption calorie in 521, and Zi2 can be the maximum consumption calorie in i physical efficiency discriminating 521.
Wherein the second matter-element 512 is to be denoted as:
Wherein, H is the second matter-element 512, physiological parameter classification j522 can be j physiological parameter classification 522, Vj1 can be the minimum very low frequencies difference power (DVLF) in j physiological parameter classification 522, Vj2 can be the maximum very low frequencies difference power (DVLF) in j physiological parameter classification 522, Hj1 can be the minimum high frequency power (HF) in j physiological parameter classification 522, Hj2 can be the maximum high frequency power (HF) in j physiological parameter classification 522, Sj1 can be the interval standard deviation (SDNN) of minimum R-R in j physiological parameter classification 522, Sj2 can be the interval standard deviation (SDNN) of maximum R-R in j physiological parameter classification 522, Dj1 can be the minimum very low frequencies difference power (DVLF) in j physiological parameter classification 522, and Dj2 can be the maximum very low frequencies difference power (DVLF) in j physiological parameter classification 522.
Extension distinguish module 50 is to consume after the characteristic acquisition of the parameters such as calorie the 301, first physiological parameter 401 and the second physiological parameter 402, substitution can be opened up in matter-element model 51 again the first matter-element 511 and the second matter-elements 512 carry out analytic operation with identification interpretation, and the physical efficiency that can obtain sporter differentiates 521 and the information such as physiological parameter classification 522.
60 of data storage modules are to store the data such as the first physiological parameter 401, the second physiological parameter 402, physical efficiency discriminating 521 and physiological parameter classification 522.Wherein data storage module 60 more can comprise display module and differentiates 521 and information during the motion such as physiological parameter classification 522 to show in real time sporter's the second physiological parameter 402, physical efficiency.Moreover data storage module 60 more can comprise communication module to transmit data to server, to carry out data backup or to be uploaded to space, high in the clouds.And display module more can comprise alarm module to give real-time feedback according to the information of extension distinguish module 50 interpretations, suitable correction motion pattern or exercise intensity suggestion is provided, increase body-building efficiency and avoid athletic injury.
Native system system utilizes physiological signal and the generating efficiency while measuring motion, by extension distinguish module, judge again user's physical efficiency and heartbeat state and motion exercise grade, and suitable correction motion pattern or exercise intensity suggestion can be provided in real time, increase body-building efficiency and avoid athletic injury.
Above content is in conjunction with concrete preferred embodiment further detailed description of the utility model, can not assert that concrete enforcement of the present utility model is confined to these explanations.For the utility model person of ordinary skill in the field; without departing from the concept of the premise utility; can also make some being equal to substitutes or obvious modification, and performance or purposes identical, all should be considered as belonging to protection domain of the present utility model.

Claims (8)

1. a body-building system with performance diagnosis function, is characterized in that, described system bag is containing ﹕
Motion module, for sporter's operation;
Energy conversion module, with change described motion module according to sporter's the motion energy that operation was produced into motion electric energy, and calculate generating efficiency and store motion electric energy;
Calorie calculate module, according to described generating efficiency to calculate sporter's the calorie of consumption;
Physiological parameter detecting module, detecting sporter is in preoperative the first physiological parameter and the second physiological parameter after spacing after a while;
Extension distinguish module, comprise and can open up matter-element model, matter-element model be can open up and the first matter-element and the second matter-element comprised, when sporter operates described motion module, receive and consumed calorie, the first physiological parameter and the second physiological parameter, and differentiate and physiological parameter classification to pick out sporter's physical efficiency according to opening up matter-element model; And
Data storage module, stores the first physiological parameter, the second physiological parameter, physical efficiency discriminating and physiological parameter classification;
Wherein motion electric energy calculates a module, physiological parameter detecting module, extension distinguish module and data storage module for supply electric power gives calorie.
2. there is as claimed in claim 1 the body-building system of performance diagnosis function, it is characterized in that, described the first physiological parameter or the second described physiological parameter are sporter's heart rate variability degree, and heart rate variability degree comprises heart rate (HR), very low frequencies difference power (DVLF), high frequency power (HF), the interval standard deviation (SDNN) of R-R or coefficient of variation value difference (DCV).
3. have as claimed in claim 1 the body-building system of performance diagnosis function, wherein it is characterized in that, described the first matter-element system is denoted as:
Wherein, E is the first matter-element, physical efficiency differentiates that i is that i physical efficiency differentiated, Wi1 is the minimum movement heart rate in i physical efficiency differentiated, Wi2 is the maximal exercise heart rate in i physical efficiency differentiated, Xi1 is the minimum winding number in i physical efficiency differentiated, Xi2 is the maximum winding number in i physical efficiency differentiated, Yi1 is that the minimum in i physical efficiency differentiated is trampled voltage, Yi2 is that the maximum in i physical efficiency differentiated is trampled voltage, Zi1 is the minimal consumption calorie in i physical efficiency differentiated, and Zi2 is the maximum consumption calorie in i physical efficiency differentiated.
4. have as claimed in claim 1 the body-building system of performance diagnosis function, wherein it is characterized in that, described the second matter-element system is denoted as:
Wherein, H is the second matter-element, physiological parameter classification j is j physiological parameter classification, Vj1 is the minimum very low frequencies difference power (DVLF) in j physiological parameter classification, Vj2 is the maximum very low frequencies difference power (DVLF) in j physiological parameter classification, Hj1 is the minimum high frequency power (HF) in j physiological parameter classification, Hj2 is the maximum high frequency power (HF) in j physiological parameter classification, Sj1 is the interval standard deviation (SDNN) of the minimum R-R in j physiological parameter classification, Sj2 is the interval standard deviation (SDNN) of the maximum R-R in j physiological parameter classification, Dj1 is the minimum very low frequencies difference power (DVLF) in j physiological parameter classification, and Dj2 is the maximum very low frequencies difference power (DVLF) in j physiological parameter classification.
5. have as claimed in claim 1 the body-building system of performance diagnosis function, it is characterized in that, described system more comprises a display module, to show sporter's the second physiological parameter, physical efficiency discriminating and physiological parameter classification.
6. have as claimed in claim 5 the body-building system of performance diagnosis function, it is characterized in that, described display module more comprises alarm module to remind sporter to note.
7. have as claimed in claim 1 the body-building system of performance diagnosis function, it is characterized in that, described time interval is set according to sporter's condition.
8. have as claimed in claim 1 the body-building system of performance diagnosis function, it is characterized in that, described data storage module more comprises communication module to transmit data to server.
CN201420226446.1U 2014-01-21 2014-05-05 Fitness system with physical ability diagnosis function Expired - Fee Related CN203944108U (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TW103201255U TWM478203U (en) 2014-01-21 2014-01-21 Fitness system with physical ability diagnosis function
TW103201255 2014-01-21

Publications (1)

Publication Number Publication Date
CN203944108U true CN203944108U (en) 2014-11-19

Family

ID=51295588

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201420226446.1U Expired - Fee Related CN203944108U (en) 2014-01-21 2014-05-05 Fitness system with physical ability diagnosis function

Country Status (2)

Country Link
CN (1) CN203944108U (en)
TW (1) TWM478203U (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105867177A (en) * 2016-03-24 2016-08-17 天脉聚源(北京)传媒科技有限公司 Operation method and device for intelligent equipment
CN107038331A (en) * 2016-11-23 2017-08-11 阿坝师范学院 A kind of recovery and healthy instructs system
CN108926804A (en) * 2017-05-22 2018-12-04 斯贝斯拓株式会社 It can measure the non-transformer sports equipment and motion quantity measurement method of amount of exercise
CN109363688A (en) * 2018-11-28 2019-02-22 河南职业技术学院 Physical efficiency monitoring method and device in teaching process of physical education
CN109998503A (en) * 2019-04-17 2019-07-12 深圳市第二人民医院 Painless delivery intelligent monitor and control system

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105095633A (en) * 2014-05-23 2015-11-25 欧爽国际股份有限公司 Electronic device for calculating physical consumption
TWI573091B (en) * 2016-03-31 2017-03-01 Information Processing System and Method with Personalized Sports Heart Rate Model

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105867177A (en) * 2016-03-24 2016-08-17 天脉聚源(北京)传媒科技有限公司 Operation method and device for intelligent equipment
CN107038331A (en) * 2016-11-23 2017-08-11 阿坝师范学院 A kind of recovery and healthy instructs system
CN108926804A (en) * 2017-05-22 2018-12-04 斯贝斯拓株式会社 It can measure the non-transformer sports equipment and motion quantity measurement method of amount of exercise
CN108926804B (en) * 2017-05-22 2020-08-28 斯贝斯拓株式会社 Power-free sports equipment capable of measuring amount of exercise and method for measuring amount of exercise
CN109363688A (en) * 2018-11-28 2019-02-22 河南职业技术学院 Physical efficiency monitoring method and device in teaching process of physical education
CN109998503A (en) * 2019-04-17 2019-07-12 深圳市第二人民医院 Painless delivery intelligent monitor and control system
CN109998503B (en) * 2019-04-17 2021-12-17 深圳市第二人民医院 Intelligent monitoring and control system for painless delivery

Also Published As

Publication number Publication date
TWM478203U (en) 2014-05-11

Similar Documents

Publication Publication Date Title
CN203944108U (en) Fitness system with physical ability diagnosis function
CN107260139A (en) A kind of social tool sensing heart rate ring and social contact method
Lee et al. A low-power and compact-sized wearable bio-impedance monitor with wireless connectivity
CN204684572U (en) A kind of finger muscle force recovering Ball for training
CN106037140A (en) Intelligent sole and shoe for home-based care and tumble judging and alarming method
CN106725422A (en) Based on ECG detecting, display and the integral system for uploading
Wu et al. Flexible wearable sensor nodes with solar energy harvesting
Chong et al. Renewable energy from living plants to power IoT sensor for remote sensing
CN204028064U (en) A kind of portable soil humidity quick test device
CN101721230A (en) Device and method for estimating physiological age index by measuring biological impedance phase angle on human body
CN206934605U (en) A kind of humeral movement action based on myoelectricity identification is corrected and monitoring device
CN202751401U (en) Grip strength rehabilitation training instrument
CN202471837U (en) A battery internal resistance measuring circuit
CN110133530A (en) Battery state detecting device and method
CN205585996U (en) Rhythm of heart table
CN204330989U (en) A kind of accumulator overload performance pick-up unit
Wang et al. Using extension method for health analysis system of a fitness device
CN109378854A (en) Big data body-building power generation system
TWI603711B (en) Green energy simple physiological assessment device and method
CN207054915U (en) Intelligent waistband
CN204601567U (en) A kind of sport monitoring device
CN103989469A (en) Physical ability and heart strength identification system
CN204086403U (en) A kind of conductor resistance and resistivity test device thereof
CN211187243U (en) Bioelectricity detection human body resistance system in contact with skin
CN102226441A (en) Multi-functional wind-driven power generating device

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20141119

CF01 Termination of patent right due to non-payment of annual fee