本文關(guān)鍵詞：可應(yīng)用于智能服裝的監(jiān)測(cè)心率模塊監(jiān)測(cè)位置及評(píng)價(jià)研究　出處：《東華大學(xué)》2017年碩士論文　論文類(lèi)型：學(xué)位論文

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【摘要】：在智能科技高速發(fā)展的大環(huán)境下,智能服裝成為服裝行業(yè)的一個(gè)新的研究熱點(diǎn),其在運(yùn)動(dòng)領(lǐng)域與健康監(jiān)護(hù)領(lǐng)域逐漸發(fā)展成熟,已有較多研究成果;在前人學(xué)者大量研究的基礎(chǔ)上,本文從現(xiàn)有智能服裝的關(guān)鍵技術(shù)、心率監(jiān)測(cè)方法、心率監(jiān)測(cè)位置與監(jiān)測(cè)模塊方面歸納總結(jié),對(duì)心率監(jiān)測(cè)模塊與服裝結(jié)合的位置進(jìn)行相關(guān)研究。論文選擇醫(yī)用動(dòng)態(tài)心電圖Holter的三通道和十二通道導(dǎo)聯(lián)線貼電極的17個(gè)不同位置為心率監(jiān)測(cè)位置;通過(guò)靜、動(dòng)態(tài)實(shí)驗(yàn)獲取心率監(jiān)測(cè)模塊與服裝結(jié)合的最佳位置;最后借助驗(yàn)證實(shí)驗(yàn),驗(yàn)證結(jié)果的準(zhǔn)確性和可靠性。本文的主要研究?jī)?nèi)容如下:(1)預(yù)實(shí)驗(yàn)初步篩選實(shí)驗(yàn)監(jiān)測(cè)有效位置。通過(guò)對(duì)1個(gè)實(shí)驗(yàn)對(duì)象,靜、動(dòng)態(tài)實(shí)驗(yàn),靜坐、平躺、步行和跑步動(dòng)作下,用S標(biāo)準(zhǔn)儀監(jiān)測(cè)的心率值和在17個(gè)位置上用R監(jiān)測(cè)的心率值,進(jìn)行SPSS相關(guān)性分析,并從17個(gè)位置篩選出與標(biāo)準(zhǔn)值相關(guān)性好的位置,得出靜坐動(dòng)作下P1、P12、P13和P17監(jiān)測(cè)位置;平躺動(dòng)作下的P1、P6、P12和P13監(jiān)測(cè)位置;步行動(dòng)作下的P1、P16和P17監(jiān)測(cè)位置;跑步動(dòng)作下的P1、P6監(jiān)測(cè)位置。(2)靜、動(dòng)態(tài)實(shí)驗(yàn)得出最佳監(jiān)測(cè)位置。通過(guò)對(duì)10個(gè)實(shí)驗(yàn)對(duì)象,再次進(jìn)行靜、動(dòng)態(tài)實(shí)驗(yàn)后,利用相關(guān)性分析方法分析得出在靜坐動(dòng)作下,P1位置監(jiān)測(cè)的心率值為最佳;在平躺動(dòng)作下,P6位置監(jiān)測(cè)的心率值為最佳;在步行動(dòng)作下,P1和P17位置上監(jiān)測(cè)的心率值為最佳;在跑步動(dòng)作下,P6位置上監(jiān)測(cè)的心率值為最佳。(3)實(shí)驗(yàn)數(shù)據(jù)分析。采用SPSS回歸分析方法,對(duì)各個(gè)動(dòng)作下,標(biāo)準(zhǔn)值和選擇的位置上所監(jiān)測(cè)的心率值,進(jìn)行回歸分析,并得出標(biāo)準(zhǔn)心率值和監(jiān)測(cè)心率值之間的關(guān)系。(4)設(shè)置靜坐動(dòng)作為S、平躺動(dòng)作為L(zhǎng)、步行動(dòng)作為W和跑步動(dòng)作為R;設(shè)置P1、P6和P17為x_a、x_b和x_c。分析出的回歸方程如下:在靜坐動(dòng)作下的回歸方程為,y_S=58.139+0.230x_a;在平躺動(dòng)作下的回歸方程為,y_L=60.641+0.203x_b;在步行動(dòng)作下的回歸方程為,y_W=45.077+0.346x_a+0.161x_c;在跑步動(dòng)作下的回歸方程為,y_R=104.493+0.206x_b。(5)驗(yàn)證實(shí)驗(yàn)。利用威爾科克森符號(hào)等級(jí)檢驗(yàn)與符號(hào)檢驗(yàn)兩種方法,驗(yàn)證表明P1、P6和P17位置上監(jiān)測(cè)的心率值是有效可靠的。最終主觀評(píng)價(jià)可監(jiān)測(cè)心率服裝的穿著舒適性,并搭建在靜坐、平躺、步行和跑步動(dòng)作下的心率監(jiān)測(cè)系統(tǒng)。
[Abstract]:The rapid development of science and technology in the smart environment, smart clothing has become a new hotspot in the field of garment industry, and health care in the field of sports development, there have been many research achievements; based on the previous scholars on the research, this paper from the key technology, the existing intelligent clothing monitoring of heart rate and heart rate monitoring method the location and monitoring module are summarized, the research of heart rate monitoring module and the position of clothing. 17 different positions the three channel medical ambulatory ECG Holter and twelve channel lead wire electrode paste for heart rate monitoring position; the best position through static and dynamic experiments to get the heart rate monitoring module combined with clothing; finally, by means of experiment, accuracy and reliability of test results. The main contents of this paper are as follows: (1) preliminary screening of the effective location of the experimental monitoring. In the 1 experiment, static and dynamic experiment, sit, lie, walking and running movement, and in 17 place with the R S standard for monitoring heart rate monitor heart rate, SPSS correlation analysis, and from the 17 locations selected good correlation of the position and standard value. The action of P1, P12, in P13 and P17 monitoring position; lying under the action P1, P6, P12 and P13 monitoring position; walking action of P1, P16 and P17 P1, P6 position monitoring; monitoring the running position. (2) the optimal monitoring position is obtained by static and dynamic experiments. In the 10 experiment, again by static and dynamic experiment, using the correlation analysis method of sit in action, P1 position monitoring heart rate is the best; in the flat action, P6 position monitoring heart rate is the best; in walking action, P1 and P17 position monitoring heart rate for the best; in the running, the P6 position monitoring heart rate is the best. (3) analysis of experimental data. The SPSS regression analysis method was used to analyze the heart rate of each action under the standard value and the selected location, and the relationship between the standard heart rate and the heart rate monitoring was obtained. (4) setting the sedentary action for S, flat lying action for L, walking action for W and running action is R; P1, P6 and P17 are x_a, x_b, and x_c. The following regression equation analysis: regression equation in meditation under the action, y_S=58.139+0.230x_a; regression equation in flat action for y_L=60.641+0.203x_b; the regression equation in the walking motion, y_W=45.077+0.346x_a+0.161x_c; regression equation in running the y_R=104.493+0.206x_b. (5) verification experiment. By using two methods of Wilcock Sen symbol grade test and symbol test, it is proved that the heart rate of P1, P6 and P17 is effective and reliable. The final subjective evaluation can monitor the wearing comfort of heart rate clothing and set up the heart rate monitoring system under the action of sitting, lying down, walking and running.
【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TS941.7

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1 郭蕓鑫;可應(yīng)用于智能服裝的監(jiān)測(cè)心率模塊監(jiān)測(cè)位置及評(píng)價(jià)研究[D];東華大學(xué);2017年

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本文編號(hào)：1346959