CN203944108U - Fitness system with physical ability diagnosis function - Google Patents
Fitness system with physical ability diagnosis function Download PDFInfo
- 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
- identification
- exercise
- 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
Links
- 238000003745 diagnosis Methods 0.000 title claims description 18
- 230000033001 locomotion Effects 0.000 claims abstract description 17
- 238000013500 data storage Methods 0.000 claims abstract description 14
- 238000004364 calculation method Methods 0.000 claims abstract description 12
- 238000010248 power generation Methods 0.000 claims abstract description 11
- 238000006243 chemical reaction Methods 0.000 claims abstract description 10
- 238000001514 detection method Methods 0.000 claims abstract description 10
- 235000019577 caloric intake Nutrition 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 3
- 230000006378 damage Effects 0.000 abstract description 3
- 208000027418 Wounds and injury Diseases 0.000 abstract description 2
- 208000014674 injury Diseases 0.000 abstract description 2
- 230000007105 physical stamina Effects 0.000 abstract 1
- 230000008901 benefit Effects 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 208000025978 Athletic injury Diseases 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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
Description
技术领域technical field
本实用新型涉及一种健身系统,特别涉及利用量测运动时的生理讯号,并藉由可拓识别模块来判断用户的体能与心跳状态以及运动锻炼等级的健身系统。The utility model relates to a body-building system, in particular to a body-building system which utilizes physiological signals measured during exercise, and uses an extension identification module to judge a user's physical ability, heartbeat state, and exercise level.
背景技术Background technique
健身器材的目的就是为了提升一般使用者的运动体能进而达到健康体能标准。使用健身器材应视用户当时的体适能状况设定一适当的运动等级,让用户在可以承受负荷的情况下充份而适当地运动,并且有计划地提升使用者的体适能。The purpose of fitness equipment is to improve the physical fitness of ordinary users and then reach the standard of healthy physical fitness. When using fitness equipment, an appropriate exercise level should be set according to the physical fitness of the user at that time, so that the user can exercise adequately and appropriately under the condition that the user can bear the load, and the physical fitness of the user can be improved in a planned way.
目前虽然有多种方法可以侦测使用者运动时的生理状态,但都仅是量测运动后的生理讯号,例:心跳、消耗的热量等基本生理信息,无法有效评估及预判使用者之体能情况,以做事先预防提醒。At present, although there are many methods to detect the physiological state of the user during exercise, they only measure the physiological signals after exercise, such as basic physiological information such as heartbeat and calories burned, and cannot effectively evaluate and predict the user's physical condition. Physical condition, as a precautionary reminder in advance.
综观前所述,是故,本实用新型之创作人经多年苦心潜心研究、思索并设计一种具有体能诊断功能的健身系统,以针对现有技术之缺失加以改善,进而增进产业上之实施利用。In view of the foregoing, therefore, the inventor of the utility model has painstakingly researched, pondered and designed a fitness system with a physical diagnosis function for many years, so as to improve the deficiencies of the existing technology, and further enhance the implementation and utilization of the industry .
实用新型内容Utility model content
有鉴于上述习知之问题,本实用新型之目的系提出一种具有体能诊断功能的健身系统,利用可拓识别模块给予实时回馈,提供适当之修正运动模式或运动强度建议,增加健身效率与避免运动伤害。In view of the above known problems, the purpose of this utility model is to propose a fitness system with a physical fitness diagnosis function, which uses an extension recognition module to give real-time feedback, and provides appropriate suggestions for correcting exercise patterns or exercise intensity, increasing fitness efficiency and avoiding exercise harm.
根据本实用新型之目的提出一种具有体能诊断功能的健身系统,其包含运动模块、能量转换模块、卡路里计算模块、生理参数侦测模块、可拓识别模块以及数据储存模块。运动模块系供运动者操作使用。能量转换模块系转换运动模块根据运动者之运动操作所产生的运动动能将其转换为运动电能,并计算其发电效率且将运动电能加以储存。卡路里计算模块可根据发电效率以计算出运动者的已消耗卡路里。生理参数侦测模块系侦测运动者在操作前的第一生理参数及经过一段时间间距后的第二生理参数。可拓识别模块系依据可拓理论建构可拓物元模型,可拓物元模型包含第一物元及第二物元,于运动者操作运动模块时,接收已消耗卡路里、第一生理参数以及第二生理参数,并根据可拓物元模型以辨识出运动者的体能鉴别及生理参数类别。数据储存模块系储存第一生理参数、第二生理参数、体能鉴别及生理参数类别。其中运动电能系供应电力予卡路里计算模块、生理参数侦测模块、可拓识别模块及数据储存模块。According to the purpose of this utility model, a fitness system with physical fitness diagnosis function is proposed, which includes a motion module, an energy conversion module, a calorie calculation module, a physiological parameter detection module, an extension identification module and a data storage module. The exercise module is used by athletes. The energy conversion module converts the motion kinetic energy generated by the athlete's motion operation into motion electric energy, calculates its power generation efficiency and stores the motion electric energy. The calorie calculation module can calculate the consumed calories of the exerciser according to the power generation efficiency. The physiological parameter detection module detects the first physiological parameter of the exerciser before the operation and the second physiological parameter after a period of time. The extension recognition module constructs the extension matter-element model based on the extension theory. The extension matter-element model includes the first matter-element and the second matter-element. When the athlete operates the exercise module, it receives the calories consumed, the first physiological parameters and The second physiological parameter, and according to the extension matter-element model, the physical fitness identification and the physiological parameter category of the athlete are identified. The data storage module stores the first physiological parameter, the second physiological parameter, physical fitness identification and physiological parameter category. Among them, the sports power supply power to the calorie calculation module, physiological parameter detection module, extension identification module and data storage module.
优选地,第一生理参数或第二生理参数可为运动者的心率变异度,所述之心率变异度包含心率(HR)、极低频功率差(DVLF)、高频功率(HF)、R-R区间标准偏差(SDNN)或是变异系数值差(DCV)。Preferably, the first physiological parameter or the second physiological parameter can be the heart rate variability of the athlete, and the heart rate variability includes heart rate (HR), very low frequency power difference (DVLF), high frequency power (HF), R-R interval Standard Deviation (SDNN) or Coefficient of Variation Value Difference (DCV).
优选地,第一物元系标示为:Preferably, the first matter-element system is marked as:
其中,E系为该第一物元,体能鉴别i系为第i个体能鉴别,Wi1系为在第i个体能鉴别内的最小运动心率,Wi2系为在第i个体能鉴别内的最大运动心率,Xi1系为在第i个体能鉴别内的最小回转数,Xi2系为在第i个体能鉴别内的最大回转数,Yi1系为在第i个体能鉴别内的最小踩踏电压,Yi2系为在第i个体能鉴别内的最大踩踏电压,Zi1系为在第i个体能鉴别内的最小消耗卡路里,而Zi2系为在第i个体能鉴别内的最大消耗卡路里。Among them, the E series is the first matter element, the physical ability identification i series is the identification of the i-th individual, the Wi1 series is the minimum exercise heart rate within the i-th individual identification, and the Wi2 series is the maximum exercise within the i-th individual identification. Heart rate, Xi1 is the minimum number of rotations within the i-th individual identification, Xi2 is the maximum number of rotations within the i-th individual identification, Yi1 is the minimum pedaling voltage within the i-th individual identification, Yi2 is The maximum stepping voltage within the identification of the i-th individual, Zi1 is the minimum calorie consumption within the i-th individual identification, and Zi2 is the maximum calorie consumption within the i-th individual identification.
优选地,第二物元系标示为:Preferably, the second matter-element system is marked as:
其中,H系为第二物元,生理参数类别j系为第j个生理参数类别,Vj1系为在第j个生理参数类别内的最小极低频功率差(DVLF),Vj2系为在第j个生理参数类别内的最大极低频功率差(DVLF),Hj1系为在第j个生理参数类别内的最小高频功率(HF),Hj2系为在第j个生理参数类别内的最大高频功率(HF),Sj1系为在第j个生理参数类别内的最小R-R区间标准偏差(SDNN),Sj2系为在第j个生理参数类别内的最大R-R区间标准偏差(SDNN),Dj1系为在第j个生理参数类别内的最小极低频功率差(DVLF),而Dj2系为在第j个生理参数类别内的最大极低频功率差(DVLF)。Among them, the H series is the second matter element, the physiological parameter category j is the jth physiological parameter category, the Vj1 series is the minimum very low frequency power difference (DVLF) in the jth physiological parameter category, and the Vj2 series is the jth physiological parameter category. The maximum very low frequency power difference (DVLF) within a physiological parameter category, Hj1 is the minimum high frequency power (HF) in the j physiological parameter category, and Hj2 is the maximum high frequency power in the j physiological parameter category Power (HF), Sj1 is the smallest R-R interval standard deviation (SDNN) in the jth physiological parameter category, Sj2 is the largest R-R interval standard deviation (SDNN) in the jth physiological parameter category, Dj1 is The minimum very low frequency power difference (DVLF) in the jth physiological parameter category, and Dj2 is the maximum very low frequency power difference (DVLF) in the jth physiological parameter category.
优选地,本实用新型之具有体能诊断功能的健身系统更包含显示模块,可显示运动者的第二生理参数、体能鉴别以及生理参数类别。Preferably, the fitness system with physical fitness diagnosis function of the present invention further includes a display module, which can display the second physiological parameter, physical fitness identification and physiological parameter category of the exerciser.
优选地,显示模块更包含警示模块以提醒运动者注意。Preferably, the display module further includes a warning module to remind athletes to pay attention.
优选地,时间间距系依运动者之身体状态设定。Preferably, the time interval is set according to the physical state of the athlete.
优选地,数据储存模块更包含通讯模块以传送数据至服务器。Preferably, the data storage module further includes a communication module for sending data to the server.
本实用新型之主要目的系在于提供一种具有体能诊断功能的健身系统,在不影响既有的功能下,其可具有下述多个优点:The main purpose of this utility model is to provide a fitness system with the function of physical fitness diagnosis. Without affecting the existing functions, it can have the following advantages:
1.实时监控:能根据可拓辨识模块判读之信息给予实时回馈,提供适当之修正运动模式或运动强度建议,增加健身效率与避免运动伤害。1. Real-time monitoring: It can give real-time feedback based on the information interpreted by the extension identification module, and provide appropriate suggestions for correcting exercise patterns or exercise intensity, increasing fitness efficiency and avoiding sports injuries.
2.健诊储能:整合健康检查及运动发电两大模块,透过量测运动时之生理参数讯号以分析运动当下之状态,并利用运动能量回收转换电能供应,并藉由显示模块以让用户了解自身体能状况。2. Energy storage for health diagnosis: Integrate two modules of health check and exercise power generation, analyze the current state of exercise by measuring physiological parameter signals during exercise, and use exercise energy recovery to convert electric energy supply, and use the display module to let Users understand their own physical condition.
为了让上述目的、技术特征以及实际实施后之增益性更为明显易懂,于下文中将系以较佳之实施范例辅佐对应相关之图式来进行更详细之说明。In order to make the above purpose, technical features and benefits after actual implementation more obvious and easy to understand, a better implementation example will be used to assist the corresponding drawings for a more detailed description below.
附图说明Description of drawings
图1是本实用新型的具有体能诊断功能的健身系统之方块图。Fig. 1 is a block diagram of the fitness system with physical fitness diagnosis function of the present invention.
附图标记说明:运动模块10、能量转换模块20、卡路里计算模块30、生理参数侦测模块40、可拓识别模块50、数据储存模块60、运动动能101、运动电能201、发电效率205、已消耗卡路里301、第一生理参数401、第二生理参数402、可拓物元模型51、第一物元511、第二物元512、体能鉴别521、生理参数类别522。Description of reference numerals: exercise module 10, energy conversion module 20, calorie calculation module 30, physiological parameter detection module 40, extension identification module 50, data storage module 60, exercise kinetic energy 101, exercise electric energy 201, power generation efficiency 205, already Calorie consumption 301 , first physiological parameter 401 , second physiological parameter 402 , extension matter-element model 51 , first matter-element 511 , second matter-element 512 , physical fitness identification 521 , and physiological parameter category 522 .
具体实施方式Detailed ways
下面对照附图并结合优选的实施方式对本实用新型作进一步说明,而其中所使用的附图,仅为示意及辅助说明书之用,未必为本实用新型实施后的真实比例与精准配置,故不应就附图的比例与配置关系来局限本实用新型的保护范围。The utility model will be further described below with reference to the accompanying drawings and in combination with preferred embodiments, and the accompanying drawings used therein are only for illustration and auxiliary description purposes, and may not be the true proportion and precise configuration of the utility model after implementation, so it is not intended to The scope of protection of the present utility model should be limited with respect to the scale and configuration relationship of the drawings.
本实用新型的优点、特征以及达到的技术方法将参照例示性实施例及附图进行更详细地描述而更容易理解,且本实用新型或可以不同形式来实现,故不应被理解仅限于此处所陈述的实施例,相反地,对所属技术领域技术人员而言,所提供的实施例将使本提供更加透彻与全面且完整地传达本实用新型的范畴,且本实用新型将仅为权利要求书所定义。The advantages, features and technical methods of the present utility model will be described in more detail with reference to exemplary embodiments and accompanying drawings to make it easier to understand, and the utility model may be implemented in different forms, so it should not be construed as being limited thereto The embodiments stated here, on the contrary, for those skilled in the art, the provided embodiments will make this provision more thorough, comprehensive and completely convey the scope of the present utility model, and the present utility model will only be claimed defined in the book.
请参阅图1,其系为本实用新型之具有体能诊断功能的健身系统之方块图。由图中可知悉,具有体能诊断功能的健身系统包含运动模块10、能量转换模块20、卡路里计算模块30、生理参数侦测模块40、可拓识别模块50及数据储存模块60。运动模块10系供一运动者之操作,运动模块10可为飞轮车或健身车等可加设发电模块之运动设备。Please refer to FIG. 1 , which is a block diagram of a fitness system with physical fitness diagnosis function of the present invention. It can be seen from the figure that the fitness system with physical fitness diagnosis function includes a sports module 10 , an energy conversion module 20 , a calorie calculation module 30 , a physiological parameter detection module 40 , an extension identification module 50 and a data storage module 60 . The exercise module 10 is operated by an athlete, and the exercise module 10 can be exercise equipment such as a flywheel or an exercise bike that can be equipped with a power generation module.
能量转换模块20系转换运动模块10根据运动者的运动操作时所产生之运动动能101加以回收并转换成运动电能201,且透过计算发电效率205以分析运动模块10运转之回转数、输出电流及踩踏电压等参数。能量转换模块20更可透过充电控制器将运动模块10所产生之浮动电压转换成稳定电压并储存于蓄电池内,且可利用变压电路及变流器等设备以将运动电能201以供市电负载及USB负载使用。其中运动电能201可直接供应电力给卡路里计算模块30、生理参数侦测模块40、可拓识别模块50及数据储存模块60等系统模块使用。The energy conversion module 20 converts the motion kinetic energy 101 generated by the motion module 10 according to the movement of the athlete, recovers and converts it into motion electric energy 201, and analyzes the number of revolutions and output current of the motion module 10 by calculating the power generation efficiency 205 And stepping voltage and other parameters. The energy conversion module 20 can also convert the floating voltage generated by the motion module 10 into a stable voltage through the charging controller and store it in the battery, and can use equipment such as transformer circuits and converters to supply the motion electric energy 201 to the market. Electric load and USB load use. The exercise electric energy 201 can directly supply power to system modules such as the calorie calculation module 30 , the physiological parameter detection module 40 , the extension identification module 50 , and the data storage module 60 .
卡路里计算模块30系根据发电效率205以计算出运动者的已消耗卡路里301,其原理是利用输出电流与踩踏电压等数据,以求得瞬时功率并藉由积分运算转换成能量,再转换成运动者所消耗之卡路里数。The calorie calculation module 30 calculates the consumed calories 301 of the exerciser based on the power generation efficiency 205. The principle is to use data such as output current and pedaling voltage to obtain instantaneous power, convert it into energy through integral calculation, and then convert it into exercise The number of calories consumed by the patient.
生理参数侦测模块40则是运用于侦测运动者在操作前的第一生理参数401及经过一时间间距后之第二生理参数402。然时间间距可依运动者之身体状态而自行设定,且可设定量测取样频率。其中第一生理参数401或第二生理参数402系藉由量测运动者之心电讯号以分析心率变异度,心率变异度包含心率(HR)、极低频功率差(DVLF)、高频功率(HF)、R-R区间标准偏差(SDNN)及变异系数值差(DCV)等生理参数讯号特征数据。The physiological parameter detection module 40 is used to detect the first physiological parameter 401 of the exerciser before the operation and the second physiological parameter 402 after a time interval. However, the time interval can be set according to the physical state of the athlete, and the measurement sampling frequency can be set. The first physiological parameter 401 or the second physiological parameter 402 is to analyze the heart rate variability by measuring the ECG signal of the exerciser. The heart rate variability includes heart rate (HR), very low frequency power difference (DVLF), high frequency power ( HF), R-R interval standard deviation (SDNN) and coefficient of variation value difference (DCV) and other physiological parameter signal characteristic data.
可拓识别模块50系利用可拓理论所建构之识别模块,可拓识别模块50包含可拓物元模型51,可拓物元模型51包含第一物元511及第二物元512,于运动者操作运动模块10时,可接收已消耗卡路里301、第一生理参数401以及第二生理参数402,并根据可拓物元模型51以辨识出运动者的体能鉴别521及生理参数类别522。The extension recognition module 50 is a recognition module constructed by using the extension theory. The extension recognition module 50 includes an extension matter-element model 51, and the extension matter-element model 51 includes a first matter-element 511 and a second matter-element 512. When the user operates the exercise module 10 , the consumed calories 301 , the first physiological parameter 401 and the second physiological parameter 402 can be received, and the physical ability identification 521 and the physiological parameter category 522 of the exerciser can be identified according to the extension matter-element model 51 .
其中第一物元511系标示为:Wherein the first matter element 511 is marked as:
其中,E为第一物元511,体能鉴别i521可为第i个体能鉴别521,Wi1可为在第i个体能鉴别521内的最小运动心率,Wi2可为在第i个体能鉴别521内的最大运动心率,Xi1可为在第i个体能鉴别521内的最小回转数,Xi2可为在第i个体能鉴别521内的最大回转数,Yi1可为在第i个体能鉴别521内的最小踩踏电压,Yi2可为在第i个体能鉴别521内的最大踩踏电压,Zi1可为在第i个体能鉴别521内的最小消耗卡路里,而Zi2可为在第i个体能鉴别521内的最大消耗卡路里。Wherein, E is the first matter element 511, and the physical ability identification i521 can be the i-th individual energy identification 521, Wi1 can be the minimum exercise heart rate in the i-th individual energy identification 521, and Wi2 can be the i-th individual energy identification 521. Maximum exercise heart rate, Xi1 can be the minimum number of revolutions within the i-th individual identification 521, Xi2 can be the maximum number of rotations within the i-th individual identification 521, Yi1 can be the minimum pedaling within the i-th individual identification 521 Voltage, Yi2 can be the maximum stepping voltage within the identification 521 of the i-th individual, Zi1 can be the minimum calorie consumption within the identification 521 of the i-th individual, and Zi2 can be the maximum calorie consumption within the identification 521 of the i-th individual .
其中第二物元512系标示为:Wherein the second matter-element 512 is marked as:
其中,H为第二物元512,生理参数类别j522可为第j个生理参数类别522,Vj1可为在第j个生理参数类别522内的最小极低频功率差(DVLF),Vj2可为在第j个生理参数类别522内的最大极低频功率差(DVLF),Hj1可为在第j个生理参数类别522内的最小高频功率(HF),Hj2可为在第j个生理参数类别522内的最大高频功率(HF),Sj1可为在第j个生理参数类别522内的最小R-R区间标准偏差(SDNN),Sj2可为在第j个生理参数类别522内的最大R-R区间标准偏差(SDNN),Dj1可为在第j个生理参数类别522内的最小极低频功率差(DVLF),而Dj2可为在第j个生理参数类别522内的最大极低频功率差(DVLF)。Wherein, H is the second matter element 512, the physiological parameter category j522 can be the jth physiological parameter category 522, Vj1 can be the minimum very low frequency power difference (DVLF) in the jth physiological parameter category 522, and Vj2 can be the The maximum very low frequency power difference (DVLF) in the jth physiological parameter category 522, Hj1 can be the minimum high frequency power (HF) in the jth physiological parameter category 522, Hj2 can be the jth physiological parameter category 522 The maximum high-frequency power (HF) in , Sj1 can be the minimum R-R interval standard deviation (SDNN) in the j physiological parameter category 522, and Sj2 can be the maximum R-R interval standard deviation in the j physiological parameter category 522 (SDNN), Dj1 may be the smallest very low frequency power difference (DVLF) within the j-th physiological parameter category 522 , and Dj2 may be the largest very low-frequency power difference (DVLF) within the j-th physiological parameter category 522 .
可拓识别模块50系将已消耗卡路里301、第一生理参数401以及第二生理参数402等参数之特征数据撷取后,再代入可拓物元模型51内之第一物元511及第二物元512进行分析运算以辨识判读,即可获得运动者之体能鉴别521及生理参数类别522等信息。The extension recognition module 50 extracts the characteristic data of parameters such as the consumed calories 301, the first physiological parameter 401, and the second physiological parameter 402, and then substitutes them into the first matter-element 511 and the second matter-element in the extension matter-element model 51. Matter element 512 conducts analysis and calculation to identify and interpret, and then obtains information such as physical fitness identification 521 and physiological parameter category 522 of the athlete.
数据储存模块60则是用以储存第一生理参数401、第二生理参数402、体能鉴别521及生理参数类别522等数据。其中数据储存模块60更可包含显示模块以实时显示运动者的第二生理参数402、体能鉴别521以及生理参数类别522等运动时之信息。再者,数据储存模块60更可包含通讯模块以传送数据至一服务器,以进行数据备份或上传至云端空间。且显示模块更可包含警示模块以根据可拓识别模块50判读之信息给予实时回馈,提供适当之修正运动模式或运动强度建议,增加健身效率与避免运动伤害。The data storage module 60 is used to store data such as the first physiological parameter 401 , the second physiological parameter 402 , physical fitness identification 521 and physiological parameter category 522 . The data storage module 60 may further include a display module to display the exerciser's second physiological parameter 402 , physical fitness identification 521 , physiological parameter category 522 and other information during exercise in real time. Moreover, the data storage module 60 can further include a communication module to transmit data to a server for data backup or upload to cloud space. Moreover, the display module can further include a warning module to give real-time feedback based on the information interpreted by the extension recognition module 50, provide appropriate suggestions for correcting exercise patterns or exercise intensity, increase fitness efficiency and avoid exercise injuries.
本系统系利用量测运动时之生理讯号及发电效率,再藉由可拓识别模块来判断用户的体能与心跳状态以及运动锻炼等级,并可实时提供适当之修正运动模式或运动强度建议,增加健身效率与避免运动伤害。This system uses the measurement of physiological signals and power generation efficiency during exercise, and then uses the extension recognition module to judge the user's physical fitness, heartbeat status and exercise level, and can provide appropriate correction exercise mode or exercise intensity suggestions in real time, increasing Fitness efficiency and avoidance of sports injuries.
以上内容是结合具体的优选实施方式对本实用新型所作的进一步详细说明,不能认定本实用新型的具体实施只局限于这些说明。对于本实用新型所属技术领域的技术人员来说,在不脱离本实用新型构思的前提下,还可以做出若干等同替代或明显变型,而且性能或用途相同,都应当视为属于本实用新型的保护范围。The above content is a further detailed description of the utility model in combination with specific preferred embodiments, and it cannot be assumed that the specific implementation of the utility model is only limited to these descriptions. For those skilled in the technical field to which the utility model belongs, on the premise of not departing from the concept of the utility model, several equivalent substitutions or obvious modifications can be made, and the performance or use is the same, which should be regarded as belonging to the utility model. protected range.
Claims (8)
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)
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 fitness monitoring method and device during physical education teaching |
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 (1)
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 physical consumption calculation |
-
2014
- 2014-01-21 TW TW103201255U patent/TWM478203U/en not_active IP Right Cessation
- 2014-05-05 CN CN201420226446.1U patent/CN203944108U/en not_active Expired - Fee Related
Cited By (7)
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 fitness monitoring method and device during physical education teaching |
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 | |
TW474802B (en) | Sports equipment, method of fluctuating physical strength and pulse counter | |
CN104248837A (en) | Pressure sensing based player motion analysis system | |
CN104323759A (en) | Method for testing cardiorespiratory endurance based on exercise heart rate and running machine | |
CN204671798U (en) | A kind of intelligence rope skipping of measuring human body physiological parameter | |
CN204636391U (en) | A kind of undergraduate psychological based on Internet of Things and physical health evaluating system | |
JP6243761B2 (en) | Cardiopulmonary function evaluation apparatus and cardiopulmonary function evaluation method | |
CN202751401U (en) | Grip strength rehabilitation training instrument | |
CN101884832A (en) | Virtual character body-building interaction system and method thereof | |
CN205003834U (en) | Blood lactic acid threshold motion detection equipment that wearable is wireless | |
CN201876884U (en) | Comprehensive control human body constitution health detection apparatus | |
CN209285486U (en) | A Health Monitoring System Based on Respiratory Rate Index | |
CN206934605U (en) | A kind of humeral movement action based on myoelectricity identification is corrected and monitoring device | |
CN203763086U (en) | Standing balance testing and evaluation system | |
CN212880800U (en) | Visual thing of indoor motion bicycle allies oneself with device | |
CN203841684U (en) | Novel exercise and fitness monitoring device | |
CN105662455B (en) | A kind of hand-held voice broadcast heart sound detection device | |
CN211633032U (en) | Intelligent toilet lid device with health data monitoring function | |
TWI395573B (en) | Calorie consumption assessment method | |
TWI603711B (en) | Green energy simple physiological assessment device and method | |
CN206044609U (en) | Portable intelligent motion monitoring instrument | |
Mo et al. | ZigBee-based wireless multi-sensor system for physical activity assessment | |
CN205235301U (en) | Feeler lever warning tennis racket | |
CN201912098U (en) | Portable digital type human body activity level measurement device | |
CN204601567U (en) | A kind of sport monitoring 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 | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20141119 |