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

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.

[1]  S. Ramakrishnan,et al.  Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals , 2014, Expert Syst. Appl..

[2]  H Ramon,et al.  Assessment of muscle fatigue in low level monotonous task performance during car driving. , 2005, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[3]  Mohd. Zaki Nuawi,et al.  Driving Fatigue among Long Distance Heavy Vehicle Drivers in Klang Valley, Malaysia , 2014 .

[4]  D G Stuart,et al.  Neurobiology of muscle fatigue. , 1992, Journal of applied physiology.

[5]  Karl F. Orishimo,et al.  Response of trunk muscle coactivation to changes in spinal stability. , 2001, Journal of biomechanics.

[6]  J. Fung,et al.  Posture-movement responses to stance perturbations and upper limb fatigue during a repetitive pointing task. , 2013, Human movement science.

[7]  Mohamad Khalil,et al.  Classification of the Car Seats by Detecting the Muscular Fatigue in the EMG Signal , 2005 .

[8]  Nadia W. Mullen,et al.  Physiological responses to simulated and on-road driving. , 2011, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[9]  V. Balasubramanian,et al.  Assessment of early onset of driver fatigue using multimodal fatigue measures in a static simulator. , 2014, Applied ergonomics.

[10]  S. Grenier,et al.  Acute effects of whole body vibration on directionality and reaction time latency of trunk muscles: the importance of rest and implications for spine stability. , 2013, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[11]  Jacques Duchêne,et al.  Evaluation of driver discomfort during long-duration car driving. , 2003, Applied ergonomics.

[12]  Venkatesh Balasubramanian,et al.  EMG-based analysis of change in muscle activity during simulated driving , 2007 .

[13]  Herb M Simpson,et al.  On-road and simulated driving: concurrent and discriminant validation. , 2011, Journal of safety research.

[14]  Venkatesh Balasubramanian,et al.  Detecting motorcycle rider local physical fatigue and discomfort using surface electromyography and seat interface pressure , 2014 .

[15]  Miriam González-Izal,et al.  Electromyographic models to assess muscle fatigue. , 2012, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[16]  Carina Fors,et al.  Sleepy driving on the real road and in the simulator--A comparison. , 2013, Accident; analysis and prevention.

[17]  J P Callaghan,et al.  The effects of lumbar massage on muscle fatigue, muscle oxygenation, low back discomfort, and driver performance during prolonged driving , 2006, Ergonomics.

[18]  C. Guilleminault,et al.  Fatigue, sleep restriction and driving performance. , 2005, Accident; analysis and prevention.

[19]  Abdulmotaleb El-Saddik,et al.  Towards Whole Body Fatigue Assessment of Human Movement: A Fatigue-Tracking System Based on Combined sEMG and Accelerometer Signals , 2014, Sensors.

[20]  Jacques Duchêne,et al.  A segmentation approach to long duration surface EMG recordings. , 2005, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.