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http://dx.doi.org/10.5370/KIEE.2017.66.12.1815

A Basic Correlational Study of the Relationship between Maximum Muscle Power and EMG  

Lee, Sung-bok (Dept. of Electronic Engineering, College of Engineering, Dankook University)
Kim, Dong-jun (Dept. of Electronic Engineering, Cheongju University)
Kim, Kyung-Ho (Dept. of Electronic Engineering, College of Engineering, Dankook University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.66, no.12, 2017 , pp. 1815-1820 More about this Journal
Abstract
In this paper, a study was conducted to estimate the maximum muscle strength which is a standard for selecting exercise intensity in weight training. We designed a device that estimates the muscle fatigue from the EMG signal, expecting to show a correlation between peak muscle strength and fatigue. Curl - Dumbbell was performed using a 4 kg dumbbell and the frequency change of the EMG was observed. At this time, the designed device acquires the signal using the MCU and finally Matlab was used to confirm the change in the center frequency value. The results of 10 subjects were analyzed using SPSS regression analysis. The statistical results showed a correlation of $R^2$ 0.583 and Significant probability of 0.010, and the relation of Y = 8.144-2.097 (slope (MDF)) was obtained. In conclusion, if the wearable device is manufactured in the form of a wearable device and the user can recommend the exercise intensity, the system will be able to retry the more efficient exercise.
Keywords
EMG; Weigth training; One repetition maximum; Muscle fatigue;
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