TWM478203U - Fitness system with physical ability diagnosis function - Google Patents
Fitness system with physical ability diagnosis function Download PDFInfo
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本創作係揭露一種具有體能診斷功能的健身系統，特別尤指利用量測運動時之生理訊號，藉由可拓識別模組來判斷使用者的體能與心跳狀態以及運動鍛鍊等級。This creation system discloses a fitness system with physical fitness function, especially for measuring the physiological signal during exercise, and determining the physical fitness and heartbeat state of the user and the exercise exercise level by the extension recognition module.
健身器材的目的就是為了提昇一般使用者的運動體能進而達到健康體能之標準。使用健身器材應視使用者當時的體適能狀況設定一適當的運動等級，讓使用者在可以承受負荷之情況下充份而適當地運動，並且有計劃地提昇使用者的體適能。
The purpose of fitness equipment is to improve the physical fitness of the average user and to achieve the standard of physical fitness. The use of fitness equipment should be based on the user's physical fitness at the time to set an appropriate level of exercise, allowing the user to fully and properly exercise under load, and to systematically improve the user's physical fitness.
目前雖然有多種方法可以偵測使用者運動時之生理狀態，但都僅是量測運動後之生理訊號，例: 心跳、消耗的熱量等基本生理資訊，無法有效評估及預判使用者之體能情況，以做事先預防提醒。
At present, although there are many ways 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, which cannot effectively evaluate and predict the physical fitness of the user. The situation is to make a precautionary reminder.
綜觀前所述，是故，本創作之創作人經多年苦心潛心研究、思索並設計一種具有體能診斷功能的健身系統，以針對現有技術之缺失加以改善，進而增進產業上之實施利用。
As mentioned above, it is true that the creators of this creation have painstakingly studied, thought and designed a fitness system with physical diagnostic function to improve the lack of existing technology and enhance the implementation and utilization of the industry.
有鑑於上述習知之問題，本創作之目的係提出一種具有體能診斷功能的健身系統，利用可拓識別模組給予即時回饋，提供適當之修正運動模式或運動強度建議，增加健身效率與避免運動傷害。
In view of the above-mentioned problems, the purpose of the present invention is to provide a fitness system with physical fitness diagnosis function, which utilizes the extension recognition module to provide instant feedback, and provides appropriate correction exercise mode or exercise intensity suggestions to increase fitness efficiency and avoid sports injuries. .
根據本創作之目的提出一種具有體能診斷功能的健身系統，其包含運動模組、能量轉換模組、卡路里計算模組、生理參數偵測模組、可拓識別模組以及資料儲存模組。運動模組係供運動者操作使用。能量轉換模組係轉換運動模組根據運動者之運動操作所產生之運動動能將其轉換為運動電能，並計算其發電效率且將運動電能加以儲存。卡路里計算模組可根據發電效率以計算出運動者的已消耗卡路里。生理參數偵測模組係偵測運動者在操作前的第一生理參數及經過一時間間距後之第二生理參數。可拓識別模組係依據可拓理論建構可拓物元模型，可拓物元模型包含第一物元及第二物元，於運動者操作運動模組時，可接收已消耗卡路里、第一生理參數以及第二生理參數，並根據可拓物元模型以辨識出運動者的體能鑑別及生理參數類別。資料儲存模組係儲存第一生理參數、第二生理參數、體能鑑別及生理參數類別。其中運動電能係供應電力予卡路里計算模組、生理參數偵測模組、可拓識別模組及資料儲存模組。
According to the purpose of the present invention, a fitness system with a physical diagnosis function is provided, which comprises a motion module, an energy conversion module, a calorie calculation module, a physiological parameter detection module, an extension recognition module and a data storage module. The motion module is for the operator to operate. The energy conversion module converts the motion module into kinetic energy according to the kinetic energy generated by the motion of the athlete, and calculates the power generation efficiency and stores the kinetic energy. The calorie calculation module calculates the calorie burned by the athlete based on the power generation efficiency. The physiological parameter detecting module detects the first physiological parameter of the athlete before the operation and the second physiological parameter after a time interval. The extension recognition module is based on the extension theory to construct the extension matter element model. The extension matter element model includes the first matter element and the second matter element, and can receive the calories burned when the exerciser operates the motion module. The physiological parameter and the second physiological parameter are based on the extensional matter model to identify the physical fitness and physiological parameter categories of the athlete. The data storage module stores the first physiological parameter, the second physiological parameter, the physical fitness identification and the physiological parameter category. The sports power supply power to the calorie calculation module, the physiological parameter detection module, the extension identification module and the data storage module.
較佳地，第一生理參數或第二生理參數可為運動者的一心率變異度，心率變異度包含心率(HR)、極低頻功率差(DVLF)、高頻功率(HF)、R-R區間標準差(SDNN)或是變異係數值差(DCV)。Preferably, the first physiological parameter or the second physiological parameter may be a heart rate variability of the athlete, and the heart rate variability includes a heart rate (HR), an extremely low frequency power difference (DVLF), a high frequency power (HF), and an RR interval standard. Difference (SDNN) or coefficient of variation value (DCV).
較佳地，第一物元係標示為:Preferably, the first matter element is labeled as:
其中，E係為該第一物元，體能鑑別i係為第i個體能鑑別，Wi1係為在第i個體能鑑別內的最小運動心率，Wi2係為在第i個體能鑑別內的最大運動心率，Xi1係為在第i個體能鑑別內的最小回轉數，Xi2係為在第i個體能鑑別內的最大回轉數，Yi1係為在第i個體能鑑別內的最小踩踏電壓，Yi2係為在第i個體能鑑別內的最大踩踏電壓，Zi1係為在第i個體能鑑別內的最小消耗卡路里，而Zi2係為在第i個體能鑑別內的最大消耗卡路里。Wherein, the E is the first matter element, the physical fitness identification i is the i-th individual can be identified, the Wi1 is the minimum exercise heart rate in the i-th individual, and the Wi2 is the maximum exercise in the i-th individual. Heart rate, Xi1 is the minimum number of revolutions in the i-th individual, Xi2 is the maximum number of revolutions in the i-th individual, and Yi1 is the minimum stepping voltage in the i-th individual. Yi2 is The maximum treading voltage within the i-th individual can be identified, Zi1 is the minimum calorie calories within the i-th individual, and Zi2 is the maximum calorie count within the i-th individual.
較佳地，第二物元係標示為:Preferably, the second matter element is labeled as:
其中，H係為該第二物元，生理參數類別j係為第j個生理參數類別，Vj1係為在第j個生理參數類別內的最小極低頻功率差(DVLF)，Vj2係為在第j個生理參數類別內的最大極低頻功率差(DVLF)，Hj1係為在第j個生理參數類別內的最小高頻功率(HF)，Hj2係為在第j個生理參數類別內的最大高頻功率(HF)，Sj1係為在第j個生理參數類別內的最小R-R區間標準差(SDNN)，Sj2係為在第j個生理參數類別內的最大R-R區間標準差(SDNN)，Dj1係為在第j個生理參數類別內的最小極低頻功率差(DVLF)，而Dj2係為在第j個生理參數類別內的最大極低頻功率差(DVLF)。
Wherein H is the second matter element, physiological parameter category j is the jth physiological parameter category, Vj1 is the minimum extremely low frequency power difference (DVLF) in the jth physiological parameter category, and Vj2 is in the first Maximum extreme low frequency power difference (DVLF) in j physiological parameter categories, Hj1 is the minimum high frequency power (HF) in the jth physiological parameter category, and Hj2 is the maximum height in the jth physiological parameter category Frequency power (HF), Sj1 is the minimum RR interval standard deviation (SDNN) in the jth physiological parameter category, and Sj2 is the maximum RR interval standard deviation (SDNN) in the jth physiological parameter category, Dj1 The minimum extremely low frequency power difference (DVLF) within the jth physiological parameter category, and Dj2 is the maximum extremely low frequency power difference (DVLF) within the jth physiological parameter category.
較佳地，本創作之具有體能診斷功能的健身系統更包含顯示模組，可顯示運動者的第二生理參數、體能鑑別以及生理參數類別。
Preferably, the fitness system with the physical diagnosis function of the present invention further comprises a display module, which can display the second physiological parameter, the physical fitness identification and the physiological parameter category of the athlete.
較佳地，顯示模組更包含警示模組以提醒運動者注意。
Preferably, the display module further includes an alert module to alert the athlete to the attention.
較佳地，時間間距係依運動者之身體狀態設定。
Preferably, the time interval is set according to the physical state of the athlete.
較佳地，資料儲存模組更包含通訊模組以傳送資料至伺服器。
Preferably, the data storage module further comprises a communication module for transmitting data to the server.
本創作之主要目的係在於提供一種具有體能診斷功能的健身系統，在不影響既有的功能下，其可具有下述多個優點：
The main purpose of this creation is to provide a fitness system with physical diagnostic function, which can have the following advantages without affecting the existing functions:
1. 即時監控：能根據可拓辨識模組判讀之資訊給予即時回饋，提供適當之修正運動模式或運動強度建議，增加健身效率與避免運動傷害。
1. Real-time monitoring: It can provide instant feedback according to the information that the extension identification module interprets, and provide appropriate correction sports mode or exercise intensity suggestions to increase fitness efficiency and avoid sports injuries.
2. 健診儲能：整合健康檢查及運動發電兩大模組，透過量測運動時之生理參數訊號以分析運動當下之狀態，並利用運動能量回收轉換電能供應，並藉由顯示模組以讓使用者了解自身體能狀況。
2. Health storage: integrates two modules of health check and sports power generation, analyzes the current state of motion by measuring the physiological parameter signal during exercise, and uses the energy recovery to convert the power supply, and by means of the display module Let users know their physical condition.
為了讓上述目的、技術特徵以及實際實施後之增益性更為明顯易懂，於下文中將係以較佳之實施範例輔佐對應相關之圖式來進行更詳細之說明。
In order to make the above-mentioned objects, technical features, and gains after actual implementation more obvious, a more detailed description will be given below with reference to the corresponding drawings in the preferred embodiments.
10‧‧‧運動模組
20‧‧‧能量轉換模組
30‧‧‧卡路里計算模組
40‧‧‧生理參數偵測模組
50‧‧‧可拓識別模組
60‧‧‧資料儲存模組
101‧‧‧運動動能
201‧‧‧運動電能
205‧‧‧發電效率
301‧‧‧已消耗卡路里
401‧‧‧第一生理參數
402‧‧‧第二生理參數
51‧‧‧可拓物元模型
511‧‧‧第一物元
512‧‧‧第二物元
521‧‧‧體能鑑別
522‧‧‧生理參數類別10‧‧‧Sports module
20‧‧‧Energy Conversion Module
30‧‧‧ calorie calculation module
40‧‧‧ physiological parameter detection module
50‧‧‧Extension Identification Module
60‧‧‧Data storage module
101‧‧‧Sports kinetic energy
201‧‧‧ sports power
205‧‧‧Power efficiency
301‧‧‧ has consumed calories
401‧‧‧First physiological parameters
402‧‧‧Second physiological parameters
51‧‧‧Extension material model
511‧‧‧ first item element
512‧‧‧Second matter
521‧‧‧ Physical identification
522‧‧‧Physiological parameters category
第1圖係為本創作之具有體能診斷功能的健身系統之方塊圖。Figure 1 is a block diagram of the fitness system with physical fitness diagnostics.
為利 貴審查員瞭解本創作之創作特徵、內容與優點及其所能達成之功效，茲將本創作配合附圖，並以實施例之表達形式詳細說明如下，而其中所使用之圖式，其主旨僅為示意及輔助說明書之用，未必為本創作實施後之真實比例與精準配置，故不應就所附之圖式的比例與配置關係解讀、侷限本創作於實際實施上的權利範圍。
In order to understand the creative characteristics, content and advantages of this creation and the effects that can be achieved by the examiner, the author will use the drawings in detail and explain the following in the form of the examples, and the drawings used therein The subject matter is only for the purpose of illustration and supplementary instructions. It is not necessarily the true proportion and precise configuration after the implementation of the creation. Therefore, the proportions and configuration relationships of the attached drawings should not be interpreted or limited in the actual implementation scope.
本創作之優點、特徵以及達到之技術方法將參照例示性實施例及所附圖式進行更詳細地描述而更容易理解，且本創作或可以不同形式來實現，故不應被理解僅限於此處所陳述的實施例，相反地，對所屬技術領域具有通常知識者而言，所提供的實施例將使本揭露更加透徹與全面且完整地傳達本創作的範疇，且本創作將僅為所附加的申請專利範圍所定義。
The advantages, features, and technical methods of the present invention will be more readily understood by referring to the exemplary embodiments and the accompanying drawings, and the present invention may be implemented in various forms and should not be construed as limited thereto. The embodiments set forth herein, and vice versa, will provide a more thorough and complete and complete disclosure of the scope of the present invention, and the present invention will only be The scope of the patent application is defined.
請參閱第1圖，其係為本創作之具有體能診斷功能的健身系統之方塊圖。由圖中可知悉，具有體能診斷功能的健身系統包含運動模組10、能量轉換模組20、卡路里計算模組30、生理參數偵測模組40、可拓識別模組50及資料儲存模組60。運動模組10係供一運動者之操作，運動模組10可為飛輪車或健身車等可加設發電模組之運動設備。
Please refer to Figure 1, which is a block diagram of the fitness system with physical fitness function. As can be seen from the figure, the fitness system with physical fitness function includes a motion module 10, an energy conversion module 20, a calorie calculation module 30, a physiological parameter detection module 40, an extension recognition module 50, and a data storage module. 60. The motion module 10 is for the operation of an athlete. The motion module 10 can be a sports device such as a flywheel or an exercise bike that can be equipped with a power generation module.
能量轉換模組20係轉換運動模組10根據運動者的運動操作時所產生之運動動能101加以回收並轉換成運動電能201，且透過計算發電效率205以分析運動模組10運轉之回轉數、輸出電流及踩踏電壓等參數。能量轉換模組20更可透過充電控制器將運動模組10所產生之浮動電壓轉換成穩定電壓並儲存於蓄電池內，且可利用變壓電路及變流器等設備以將運動電能201以供市電負載及USB負載使用。其中運動電能201可直接供應電力給卡路里計算模組30、生理參數偵測模組40、可拓識別模組50及資料儲存模組60等系統模組使用。
The energy conversion module 20 is configured to recover and convert the motion kinetic energy 101 generated by the motion of the exerciser into the motion energy 201, and calculate the power generation efficiency 205 to analyze the number of revolutions of the motion module 10. Parameters such as output current and stepping voltage. The energy conversion module 20 can further 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 the transformer circuit and the converter to supply the motion energy 201. Mains load and USB load are used. The sports power 201 can directly supply power to the 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.
卡路里計算模組30係根據發電效率205以計算出運動者的已消耗卡路里301，其原理是利用輸出電流與踩踏電壓等數據，以求得瞬時功率並藉由積分運算轉換成能量，再轉換成運動者所消耗之卡路里數。
The calorie calculation module 30 calculates the calorie burned 301 of the athlete according to the power generation efficiency 205. The principle is to use the output current and the stepping voltage and the like to obtain the instantaneous power and convert it into energy by the integral operation, and then convert it into The number of calories burned by the athlete.
生理參數偵測模組40則是運用於偵測運動者在操作前的第一生理參數401及經過一時間間距後之第二生理參數402。然時間間距可依運動者之身體狀態而自行設定，且可設定量測取樣頻率。其中第一生理參數401或第二生理參數402係藉由量測運動者之心電訊號以分析心率變異度，心率變異度包含心率(HR)、極低頻功率差(DVLF)、高頻功率(HF)、R-R區間標準差(SDNN)及變異係數值差(DCV)等生理參數訊號特徵資料。
The physiological parameter detecting module 40 is configured to detect the first physiological parameter 401 of the athlete 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 sampling frequency can be set. The first physiological parameter 401 or the second physiological parameter 402 analyzes the heart rate variability by measuring the heart rate of the athlete, and the heart rate variability includes heart rate (HR), extreme low frequency power difference (DVLF), and high frequency power ( HF), RR interval standard deviation (SDNN) and coefficient of variation value (DCV) and other physiological parameters signal characteristics.
可拓識別模組50係利用可拓理論所建構之識別模組，可拓識別模組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，於運動者操作運動模組10時，可接收已消耗卡路里301、第一生理參數401以及第二生理參數402，並根據可拓物元模型51以辨識出運動者的體能鑑別521及生理參數類別522。
The extension identification module 50 is an identification module constructed by the extension theory. The extension identification module 50 includes an extension matter element model 51. The extension matter element model 51 includes a first object element 511 and a second object element 512. When the exerciser operates the motion module 10, the calories burned 301, the first physiological parameter 401, and the second physiological parameter 402 may be received, and the physical fitness identification 521 and physiological parameters of the exerciser may be identified according to the extension physical element model 51. Category 522.
其中第一物元511係標示為:The first matter element 511 is marked as:
其中，E為第一物元511，體能鑑別i 521可為第i個體能鑑別521，Wi1可為在第i個體能鑑別521內的最小運動心率，Wi2可為在第i個體能鑑別521內的最大運動心率，Xi1可為在第i個體能鑑別521內的最小回轉數，Xi2可為在第i個體能鑑別521內的最大回轉數，Yi1可為在第i個體能鑑別521內的最小踩踏電壓，Yi2可為在第i個體能鑑別521內的最大踩踏電壓，Zi1可為在第i個體能鑑別521內的最小消耗卡路里，而Zi2可為在第i個體能鑑別521內的最大消耗卡路里。
Wherein, E is the first matter element 511, the fitness identification i 521 can be the ith individual can identify 521, Wi1 can be the minimum exercise heart rate in the i-th individual can identify 521, Wi2 can be within the i-th individual can identify 521 The maximum exercise heart rate, Xi1 can be the minimum number of revolutions in the i-th individual can identify 521, Xi2 can be the maximum number of revolutions in the i-th individual can identify 521, and Yi1 can be the smallest in the i-th individual can identify 521 Stepping on the voltage, Yi2 can be the maximum stepping voltage in the i-th individual can identify 521, Zi1 can be the minimum consumption calories in the i-th individual can identify 521, and Zi2 can be the maximum consumption in the i-th individual can identify 521 Calories.
其中第二物元512係標示為:
其中，H為第二物元512，生理參數類別j 522可為第j個生理參數類別522，Vj1可為在第j個生理參數類別522內的最小極低頻功率差(DVLF)，Vj2可為在第j個生理參數類別522內的最大極低頻功率差(DVLF)，Hj1可為在第j個生理參數類別522內的最小高頻功率(HF)，Hj2可為在第j個生理參數類別522內的最大高頻功率(HF)，Sj1可為在第j個生理參數類別522內的最小R-R區間標準差(SDNN)，Sj2可為在第j個生理參數類別522內的最大R-R區間標準差(SDNN)，Dj1可為在第j個生理參數類別522內的最小極低頻功率差(DVLF)，而Dj2可為在第j個生理參數類別522內的最大極低頻功率差(DVLF)。
The second item 512 is marked as:
Wherein, H is the second matter element 512, the physiological parameter category j 522 can be the jth physiological parameter category 522, and Vj1 can be the minimum pole low frequency power difference (DVLF) in the jth physiological parameter category 522, and Vj2 can be The maximum extreme low frequency power difference (DVLF) in the jth physiological parameter category 522, Hj1 may be the minimum high frequency power (HF) in the jth physiological parameter category 522, and Hj2 may be in the jth physiological parameter category The maximum high frequency power (HF) within 522, Sj1 may be the minimum RR interval standard deviation (SDNN) within the jth physiological parameter category 522, and Sj2 may be the maximum RR interval criterion within the jth physiological parameter category 522 Difference (SDNN), Dj1 may be the minimum pole low frequency power difference (DVLF) within the jth physiological parameter category 522, and Dj2 may be the maximum pole low frequency power difference (DVLF) within the jth physiological parameter category 522.
可拓識別模組50係將已消耗卡路里301、第一生理參數401以及第二生理參數402等參數之特徵資料擷取後，再代入可拓物元模型51內之第一物元511及第二物元512進行分析運算以辨識判讀，即可獲得運動者之體能鑑別521及生理參數類別522等資訊。
The extension identification module 50 extracts the characteristic data of the parameters such as the calories burned 301, the first physiological parameter 401, and the second physiological parameter 402, and then substitutes the first object 511 and the first element in the extension physical element model 51. The two matter element 512 performs an analysis operation to identify the interpretation, and can obtain information such as the physical fitness identification 521 and the physiological parameter category 522 of the exerciser.
資料儲存模組60則是用以儲存第一生理參數401、第二生理參數402、體能鑑別521及生理參數類別522等資料。其中資料儲存模組60更可包含顯示模組以即時顯示運動者的第二生理參數402、體能鑑別521以及生理參數類別522等運動時之資訊。再者，資料儲存模組60更可包含通訊模組以傳送資料至一伺服器，以進行資料備份或上傳至雲端空間。且顯示模組更可包含警示模組以根據可拓識別模組50判讀之資訊給予即時回饋，提供適當之修正運動模式或運動強度建議，增加健身效率與避免運動傷害。
The data storage module 60 is configured to store data such as the first physiological parameter 401, the second physiological parameter 402, the physical fitness identification 521, and the physiological parameter category 522. The data storage module 60 may further include a display module to instantly display information of the second physiological parameter 402, the physical fitness identification 521, and the physiological parameter category 522 of the exerciser during exercise. Moreover, the data storage module 60 can further include a communication module to transmit data to a server for data backup or upload to the cloud space. The display module can further include an alert module to provide instant feedback according to the information read by the extension recognition module 50, and provide appropriate modified exercise mode or exercise intensity suggestions to increase fitness efficiency and avoid sports injuries.
本系統係利用量測運動時之生理訊號及發電效率，再藉由可拓識別模組來判斷使用者的體能與心跳狀態以及運動鍛鍊等級，並可即時提供適當之修正運動模式或運動強度建議，增加健身效率與避免運動傷害。
The system uses the physiological signal and power generation efficiency during the measurement, and then uses the extension recognition module to determine the user's physical fitness and heartbeat status and exercise level, and can provide appropriate correction motion mode or exercise intensity suggestions immediately. Increase fitness efficiency and avoid sports injuries.
以上所述之實施例僅係為說明本創作之技術思想及特點，其目的在使熟習此項技藝之人士能夠瞭解本創作之內容並據以實施，當不能以之限定本創作之專利範圍，即大凡依本創作所揭示之精神所作之均等變化或修飾，仍應涵蓋在本創作之專利範圍內。
The embodiments described above are only for explaining the technical idea and characteristics of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and implement them according to the scope of the patent. That is, the equivalent changes or modifications made by the people in accordance with the spirit revealed by this creation should still be covered by the scope of the patent of this creation.
10‧‧‧運動模組 10‧‧‧Sports module
20‧‧‧能量轉換模組 20‧‧‧Energy Conversion Module
30‧‧‧卡路里計算模組 30‧‧‧ calorie calculation module
40‧‧‧生理參數偵測模組 40‧‧‧ physiological parameter detection module
50‧‧‧可拓識別模組 50‧‧‧Extension Identification Module
60‧‧‧資料儲存模組 60‧‧‧Data storage module
101‧‧‧運動動能 101‧‧‧Sports kinetic energy
201‧‧‧運動電能 201‧‧‧ sports power
205‧‧‧發電效率 205‧‧‧Power efficiency
301‧‧‧已消耗卡路里 301‧‧‧ has consumed calories
401‧‧‧第一生理參數 401‧‧‧First physiological parameters
402‧‧‧第二生理參數 402‧‧‧Second physiological parameters
51‧‧‧可拓物元模型 51‧‧‧Extension material model
511‧‧‧第一物元 511‧‧‧ first item element
512‧‧‧第二物元 512‧‧‧Second matter
521‧‧‧體能鑑別 521‧‧‧ Physical identification
522‧‧‧生理參數類別 522‧‧‧Physiological parameters category
Claims (8)
一運動模組，係供一運動者之操作；
一能量轉換模組，係轉換該運動模組根據該運動者之一操作所產生之一運動動能為一運動電能，並計算一發電效率且儲存該運動電能；
一卡路里計算模組，係根據該發電效率以計算出該運動者的一已消耗卡路里；
一生理參數偵測模組，係偵測該運動者在該操作前的一第一生理參數及經過一時間間距後之一第二生理參數；以及
一可拓識別模組，係包含一可拓物元模型，該可拓物元模型包含一第一物元及一第二物元，於該運動者操作該運動模組時，係接收該已消耗卡路里、該第一生理參數以及該第二生理參數，並根據該可拓物元模型以辨識出該運動者的一體能鑑別及一生理參數類別；
一資料儲存模組，係儲存該第一生理參數、該第二生理參數、該體能鑑別及該生理參數類別；
其中該運動電能係供應電力予該卡路里計算模組、該生理參數偵測模組、該可拓識別模組及該資料儲存模組。
A fitness system with physical diagnostic function includes:
a motion module for the operation of an athlete;
An energy conversion module converts a motion kinetic energy generated by the motion module according to one of the motions into a motion energy, and calculates a power generation efficiency and stores the motion energy;
a calorie computing module, based on the power generation efficiency, to calculate a calorie burned by the athlete;
a physiological parameter detecting module detects a first physiological parameter of the athlete before the operation and a second physiological parameter after a time interval; and an extension recognition module, including an extension a matter-element model, the extension matter element model includes a first matter element and a second object element, and when the exerciser operates the motion module, receiving the consumed calories, the first physiological parameter, and the second a physiological parameter, and according to the extension matter element model, to identify an integral identification of the athlete and a physiological parameter category;
a data storage module stores the first physiological parameter, the second physiological parameter, the physical fitness identification, and the physiological parameter category;
The sports power supply power to the calorie calculation module, the physiological parameter detection module, the extension identification module, and the data storage module.
The fitness system with physical fitness function according to claim 1, wherein the first physiological parameter or the second physiological parameter is a heart rate variability of the athlete, the heart rate variability including heart rate (HR) , very low frequency power difference (DVLF), high frequency power (HF), RR interval standard deviation (SDNN) or coefficient of variation value (DCV).
其中，E係為該第一物元，體能鑑別i係為第i個體能鑑別，Wi1係為在第i個體能鑑別內的最小運動心率，Wi2係為在第i個體能鑑別內的最大運動心率，Xi1係為在第i個體能鑑別內的最小回轉數，Xi2係為在第i個體能鑑別內的最大回轉數，Yi1係為在第i個體能鑑別內的最小踩踏電壓，Yi2係為在第i個體能鑑別內的最大踩踏電壓，Zi1係為在第i個體能鑑別內的最小消耗卡路里，而Zi2係為在第i個體能鑑別內的最大消耗卡路里。
The fitness system having the physical diagnosis function described in claim 1, wherein the first matter element is marked as:
Wherein, the E is the first matter element, the physical fitness identification i is the i-th individual can be identified, the Wi1 is the minimum exercise heart rate in the i-th individual, and the Wi2 is the maximum exercise in the i-th individual. Heart rate, Xi1 is the minimum number of revolutions in the i-th individual, Xi2 is the maximum number of revolutions in the i-th individual, and Yi1 is the minimum stepping voltage in the i-th individual. Yi2 is The maximum treading voltage within the i-th individual can be identified, Zi1 is the minimum calorie calories within the i-th individual, and Zi2 is the maximum calorie count within the i-th individual.
其中，H係為該第二物元，生理參數類別j係為第j個生理參數類別，Vj1係為在第j個生理參數類別內的最小極低頻功率差(DVLF)，Vj2係為在第j個生理參數類別內的最大極低頻功率差(DVLF)，Hj1係為在第j個生理參數類別內的最小高頻功率(HF)，Hj2係為在第j個生理參數類別內的最大高頻功率(HF)，Sj1係為在第j個生理參數類別內的最小R-R區間標準差(SDNN)，Sj2係為在第j個生理參數類別內的最大R-R區間標準差(SDNN)，Dj1係為在第j個生理參數類別內的最小極低頻功率差(DVLF)，而Dj2係為在第j個生理參數類別內的最大極低頻功率差(DVLF)。
The fitness system having the physical diagnosis function described in claim 1, wherein the second matter element is marked as:
Wherein H is the second matter element, physiological parameter category j is the jth physiological parameter category, Vj1 is the minimum extremely low frequency power difference (DVLF) in the jth physiological parameter category, and Vj2 is in the first Maximum extreme low frequency power difference (DVLF) in j physiological parameter categories, Hj1 is the minimum high frequency power (HF) in the jth physiological parameter category, and Hj2 is the maximum height in the jth physiological parameter category Frequency power (HF), Sj1 is the minimum RR interval standard deviation (SDNN) in the jth physiological parameter category, and Sj2 is the maximum RR interval standard deviation (SDNN) in the jth physiological parameter category, Dj1 The minimum extremely low frequency power difference (DVLF) within the jth physiological parameter category, and Dj2 is the maximum extremely low frequency power difference (DVLF) within the jth physiological parameter category.
The fitness system with the physical diagnosis function described in claim 1 further includes a display module that displays the second physiological parameter of the athlete, the physical fitness identification, and the physiological parameter category.
The fitness system with the physical diagnosis function described in claim 5, wherein the display module further comprises a warning module to remind the athlete of the attention.
The fitness system having the physical diagnosis function described in claim 1, wherein the time interval is set according to the physical state of the athlete.
The fitness system with the physical diagnosis function described in claim 1, wherein the data storage module further comprises a communication module for transmitting data to a server.
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Cited By (2)
| 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 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
| KR101842544B1 (en) * | 2017-05-22 | 2018-03-27 | (주)스페이스톡 | Non-power exercise equipment capable of measuring amount of exercise and the method thereof |
| 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 |
| 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 |
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| 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 |
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