ELECTROMYOGRAPHY AS AN OBJECTIVE MEASUREMENT FOR EVALUATING PHYSICAL FATIGUE: AN OVERVIEW

Authors

  • Nor Kamaliana Khamis Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia
  • Nadzirah Basrah Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia
  • Baba Md Deros Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia
  • Mohd Zaki Nuawi Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia

DOI:

https://doi.org/10.11113/jt.v77.6888

Keywords:

EMG, fatigue, human, worker, driver

Abstract

Nowadays, the detection of human fatigue is a major concern in society, industry, road safety and transportation research, due to its effect on human performance while performing tasks. The two main objectives of this review are to extract and understand better the electromyography (EMG) procedure and to identify any pertinent issues related to EMG assessment. Eleven relevant studies were presented in this review paper, chosen from several electronic databases. This review paper describes the study design of EMG, its analysis and findings. This review has provided an insight of EMG assessment for future study, particularly on the arrangement of the study design including the muscle part and setting procedure.

References

Enoka, R. M. & Stuart, D. G. 1992. Neurobiology of muscle fatigue. Journal of Applied Physiology. 72: 1631-1648.

Dong, H., Ugalde, I., Figueroa, N. & El Saddik, A. 2014. Towards whole body fatigue assessment of human movement: a fatigue-tracking system based on combined sEMG and accelerometer signals. Sensors. 14(2): 2052–70.

Atieh, M., Youn, R., Khalil, M. & Akdag, H. 2005. Classification of the Car Seats by Detecting the Muscular Fatigue in the EMG Signal. International Journal of Computational Cognition. 3(4): 48–54.

González-Izal, M., Malanda, A., Gorostiaga, E., & Izquierdo, M. 2012. Electromyographic models to assess muscle fatigue. Journal of Electromyography and Kinesiology. 22(4): 501–12.

Khamis, N. K., Deros, B. M., Nuawi, M. Z., Omar, R. B. 2014. Driving fatigue among long distance heavy vehicle drivers in Klang Valley, Malaysia. Applied Mechanics and Materials, 663: 567-573.

Philip, P., Sagaspe, P., Moore, N., Taillard, J., Charles, A., Guilleminault, C. & Bioulac, B. (2005). Fatigue, sleep restriction and driving performance. Accident Analysis & Prevention. 37(3): 473–8.

Hostens, I. & Ramon, H. 2005. Assessment Of Muscle Fatigue In Low Level Monotonous Task Performance During Car Driving. 15: 266–274.

Balasubramanian, V. & Jagannath, M. 2014. Detecting motorcycle rider local physical fatigue and discomfort using surface electromyography and seat interface pressure. Transportation Research Part F: Traffic Psychology and Behaviour. 22: 150–158.

Kawamura, A, Maeda, C., Shirakawa, T., Ishida, T., Nakatsuji, T. and Himeno, K. 2004. Applicability of a Driving Simulator as a New Tool for the Pavement Surface Evaluation. Proceedings of the SIIV2004 International Congress.

Mayhew, D. R., Simpson, H. M., Wood, K. M., Lonero, L., Clinton, K. M. & Johnson, A. G. 2011. On-road and simulated driving: concurrent and discriminant validation. Journal of Safety Research. 42(4): 267–75.

Johnson, M. J., Chahal, T., Stinchcombe, A., Mullen, N., Weaver, B. & Bédard, M. 2011. Physiological responses to simulated and on-road driving. International Journal of Psychophysiology. 81(3): 203–8.

Hallvig, D., Anund, A., Fors, C., Kecklund, G., Karlsson, J. G., Wahde, M. & Akerstedt, T. 2013. Sleepy driving on the real road and in the simulator--A comparison. Accident; Analysis and Prevention. 50: 44–50.

Jagannath, M. & Balasubramanian, V. 2014. Assessment of early onset of driver fatigue using multimodal fatigue measures in a static simulator. Applied Ergonomics. 45(4): 1140–7.

Arora, N. & Grenier, S. G. 2013. Acute effects of whole body vibration on directionality and reaction time latency of trunk muscles: the importance of rest and implications for spine stability. Journal of Electromyography and Kinesiology. 23(2): 394–401.

Fuller, J. R., Fung, J. & Côté, J. N. 2013. Posture-movement responses to stance perturbations and upper limb fatigue during a repetitive pointing task. Human Movement Science. 32(4): 618–32.

Granata, K. P & Orishimo, K. F. 2001. Response of trunk muscle co-activation to changes in spinal stability Journal of Biomechanics

El Falou, W., Duchêne, J., Grabisch, M., Hewson, D., Langeron, Y. & Lino, F. 2003. Evaluation of driver discomfort during long-duration car driving. Applied Ergonomics. 34(3): 249–55.

Balasubramanian, V., Adalarasu, K. & Tech, M. 2007. EMG-Based Analysis Of Change In Muscle Activity During Simulated Driving. 151–158.

El Falou, W., Duchêne, J., Hewson, D., Khalil, M., Grabisch, M. & Lino, F. 2005. A segmentation approach to long duration surface EMG recordings. Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology. 15(1): 111–9.

Durkin, J. L., Harvey, A., Hughson, R. L., & Callaghan, J. P. 2014. The effects of lumbar massage on muscle fatigue, muscle oxygenation, low back discomfort, and driver performance during prolonged driving: The effects of lumbar massage on muscle fatigue, muscle oxygenation, low back discomfort, and driver performance. 37–41.

Venugopal, G., Navaneethakrishna, M. & Ramakrishnan, S. 2014. Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals. Expert Systems with Applications. 41(6): 2652–2659

Downloads

Published

2015-12-20

Issue

Section

Science and Engineering

How to Cite

ELECTROMYOGRAPHY AS AN OBJECTIVE MEASUREMENT FOR EVALUATING PHYSICAL FATIGUE: AN OVERVIEW. (2015). Jurnal Teknologi, 77(27). https://doi.org/10.11113/jt.v77.6888