Evaluation of different methods of lifting heavy objects by means of amplitude and frequency characteristics of electromyography signals
Subject Areas : Medical Engineering and Sports Medicine Equipment IndustriesBahar Kheradmand 1 , Arshia Mohammadkhani 2 , Sara Seyf 3 , Mahsa khalili 4 , babak Rezae Afshar 5
1 - B.Sc. Student of Biomedical Engineering (Bioelectric), Sciences and Research Branch, Islamic Azad University, Tehran, Iran.
2 - B.Sc. Student of Biomedical Engineering (Bioelectric), Sciences and Research Branch, Islamic Azad University, Tehran, Iran.
3 - B.Sc. Student of Biomedical Engineering (Bioelectric), Sciences and Research Branch, Islamic Azad University, Tehran, Iran.
4 - B.Sc. Student of Biomedical Engineering (Bioelectric), Sciences and Research Branch, Islamic Azad University, Tehran, Iran.
5 - Asisstant Professor of Biomedical Engineering, School of rehabilitation, Iran University of Medical Sciences, Tehran, Iran.
Keywords: Electromyography, Lifting Heavy Objects, Ergonomics, RMS, Signal amplitude, Signal frequency,
Abstract :
Lifting heavy objects without skill, carries a very high risk and causes injury to the back muscles. Electromyography can provide the best method of lifting heavy objects. In this study, four healthy females (1 female, 40 years old and 3 females, 20±3 years old) and six healthy men (2 men, 50±5 years old and 4 men, 20±5 years old) voluntarily participated, by obtaining four different electromyography signals. The obtained data were windowed every 15.5 seconds and the 4th order Butterworth filter was applied to the data. Then the variance, RMS and average of the data were calculated. The most muscle activation happened in performing ergonomic movement, which shows that in this case, the least pressure is applied to other muscles. Future studies can be defined on the impact of using the exoskeleton in identifying and assisting in load carrying movement.
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