可应用于智能服装的监测心率模块监测位置及评价研究

发布时间：2017-12-28 18:40

本文关键词：可应用于智能服装的监测心率模块监测位置及评价研究　出处：《东华大学》2017年硕士论文　论文类型：学位论文

【摘要】：在智能科技高速发展的大环境下,智能服装成为服装行业的一个新的研究热点,其在运动领域与健康监护领域逐渐发展成熟,已有较多研究成果;在前人学者大量研究的基础上,本文从现有智能服装的关键技术、心率监测方法、心率监测位置与监测模块方面归纳总结,对心率监测模块与服装结合的位置进行相关研究。论文选择医用动态心电图Holter的三通道和十二通道导联线贴电极的17个不同位置为心率监测位置;通过静、动态实验获取心率监测模块与服装结合的最佳位置;最后借助验证实验,验证结果的准确性和可靠性。本文的主要研究内容如下:(1)预实验初步筛选实验监测有效位置。通过对1个实验对象,静、动态实验,静坐、平躺、步行和跑步动作下,用S标准仪监测的心率值和在17个位置上用R监测的心率值,进行SPSS相关性分析,并从17个位置筛选出与标准值相关性好的位置,得出静坐动作下P1、P12、P13和P17监测位置;平躺动作下的P1、P6、P12和P13监测位置;步行动作下的P1、P16和P17监测位置;跑步动作下的P1、P6监测位置。(2)静、动态实验得出最佳监测位置。通过对10个实验对象,再次进行静、动态实验后,利用相关性分析方法分析得出在静坐动作下,P1位置监测的心率值为最佳;在平躺动作下,P6位置监测的心率值为最佳;在步行动作下,P1和P17位置上监测的心率值为最佳;在跑步动作下,P6位置上监测的心率值为最佳。(3)实验数据分析。采用SPSS回归分析方法,对各个动作下,标准值和选择的位置上所监测的心率值,进行回归分析,并得出标准心率值和监测心率值之间的关系。(4)设置静坐动作为S、平躺动作为L、步行动作为W和跑步动作为R;设置P1、P6和P17为x_a、x_b和x_c。分析出的回归方程如下:在静坐动作下的回归方程为,y_S=58.139+0.230x_a;在平躺动作下的回归方程为,y_L=60.641+0.203x_b;在步行动作下的回归方程为,y_W=45.077+0.346x_a+0.161x_c;在跑步动作下的回归方程为,y_R=104.493+0.206x_b。(5)验证实验。利用威尔科克森符号等级检验与符号检验两种方法,验证表明P1、P6和P17位置上监测的心率值是有效可靠的。最终主观评价可监测心率服装的穿着舒适性,并搭建在静坐、平躺、步行和跑步动作下的心率监测系统。
[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.
【学位授予单位】：东华大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TS941.7

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