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• W2227346085 abstract "Mikkola, Sakari 2012. Comparison of acceleration and EMG signals in quantifying physical activity. Master‟s thesis. Department of biology of physical activity. University of Jyvaskyla. 60 pages. A lack of proper physical activity is increasing problem in the world. According to WHO around 31% of people aged over 15 were insufficiently active in 2008. The lack of physical activity has been identified as a fourth leading risk factor for global mortality and it is responsible of a great deal of costs of the public health sector in the future. Therefore a new technology is developed to quantify physical activity. The purpose of this study was to examine new kind of technology for measuring physical activity. Intelligent clothing (shorts with embedded EMG textile electrodes) is a new invention which measures EMG activity of right and left quadriceps femoris and hamstring muscles. EMG activity from the four muscles was compared to 3-D acceleration activity through the cross-correlation and integral analyses. Measurements were up to 12 hours long. 20 measurements of 12 study subjects were used in cross-correlation analyses. The influence of the number of recording channels on cross-correlation was also examined. In integral analyses group 1 (n=20) and group 2 (n=5) were analyzed separately because unfortunate baseline shift appeared in EMG signals in group 1 during the study, thus, results of group 1 are not completely reliable. Cross-correlation analyses indicated fair correlation between acceleration and EMG signals r=0,62. The reduction of EMG recording channels from four to two had only slight influence on crosscorrelation (0,58<r<0,60). Integral analyses pointed out strong match (90%) between the integrals of acceleration and EMG signals in group 2. According to this study, shorts with embedded textile electrodes could be used to quantify physical activity like accelerometers. However, a lot of research and technical development have to be made if long-term measurements will be executed." @default.
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• W2227346085 date "2012-01-01" @default.
• W2227346085 modified "2023-09-23" @default.
• W2227346085 title "Comparison of acceleration and EMG signals in quantifying physical activity" @default.
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