EMG-based analysis of change in muscle activity during simulated driving

Summary Extensive usage of computers could cause fatigue and even lead to musculo-skeletal injuries. Onset of fatigue can be determined by analyzing biosignals like surface electromyogram (sEMG), electrocardiogram (ECG), electroencephalogram (EEG) and electrooculogram (EOG). Physiological parameters such as pressure, respiration rate and oxygen debt have also been used to estimate the onset of fatigue and recovery time. Other than these measures, behavioral analysis using video and subjective analysis have also been used extensively to detect onset of fatigue. In this study, muscle activity changes in the shoulder and neck muscles while gaming in an automobile simulator, using sEMG, are analyzed. Two groups of professional and non-professional drivers participated in this study. Statistically significant (p

[1]  R R Knipling,et al.  A HOLISTIC APPROACH TO OPERATOR ALERTNESS RESEARCH , 1995 .

[2]  Alwin Luttmann,et al.  Electromyographical indication of muscular fatigue in occupational field studies , 2000 .

[3]  George A. Bekey,et al.  A stochastic model of skeletal muscle based on motor unit properties , 1970 .

[4]  M. P. J. M. Van Riel,et al.  Improving the sitting posture of CAD/CAM workers by increasing VDU monitor working height , 1992 .

[5]  M A Schier,et al.  Changes in EEG alpha power during simulated driving: a demonstration. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[6]  Dimitrios Moshou,et al.  Dynamic muscle fatigue detection using self-organizing maps , 2005, Appl. Soft Comput..

[7]  R H Westgaard,et al.  Muscle Activity as a Releasing Factor for Pain in the Shoulder and Neck , 1999, Cephalalgia : an international journal of headache.

[8]  J. S. Petrofsky,et al.  Frequency and amplitude analysis of the EMG during exercise on the bicycle ergometer , 1979, European Journal of Applied Physiology and Occupational Physiology.

[9]  Byung-Chan Min,et al.  Effects of oxygen concentrations on driver fatigue during simulated driving. , 2005, Applied ergonomics.

[10]  Dinesh Kant Kumar,et al.  Wavelet analysis of surface electromyography , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[11]  A. Antoniadis,et al.  Relation between heart rate variability and training load in middle-distance runners. , 2000, Medicine and science in sports and exercise.

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

[13]  C. N. Christakos,et al.  Lumped and population stochastic models of skeletal muscle: Implications and predictions , 2004, Biological Cybernetics.

[14]  J. Mizrahi,et al.  A model of fatigue and recovery in paraplegic's quadriceps muscle subjected to intermittent FES. , 1996, Journal of biomechanical engineering.

[15]  G. Kecklund,et al.  Sleepiness in long distance truck driving: an ambulatory EEG study of night driving. , 1993, Ergonomics.

[16]  W Laurig,et al.  Electromyographical study on surgeons in urology. II. Determination of muscular fatigue. , 1996, Ergonomics.

[17]  A. Craig,et al.  Reproducibility of the spectral components of the electroencephalogram during driver fatigue. , 2005, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[18]  D. Winter,et al.  Models of recruitment and rate coding organization in motor-unit pools. , 1993, Journal of neurophysiology.

[19]  L. Fleisher,et al.  Anesthesiologists and Acute Perioperative Stress: A Cohort Study , 2002, Anesthesia and analgesia.

[20]  T Fernández,et al.  Test-retest reliability of EEG spectral parameters during cognitive tasks: II. Coherence. , 1993, The International journal of neuroscience.

[21]  J. Quintern,et al.  A physiologically based model of muscle activation verified by electrical stimulation , 1997 .

[22]  M Hagberg,et al.  Muscular endurance and surface electromyogram in isometric and dynamic exercise. , 1981, Journal of applied physiology: respiratory, environmental and exercise physiology.

[23]  Roman Rosipal,et al.  Measures and Models for Estimating and Predicting Cognitive Fatigue , 2004 .

[24]  Yaw-Huei Hwang,et al.  Electromyographical assessment on muscular fatigue--an elaboration upon repetitive typing activity. , 2004, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[25]  M. Ozturk,et al.  Evaluation of blood lactate in young men after wingate anaerobic power test , 1998 .

[26]  A. Craig,et al.  Driver fatigue: electroencephalography and psychological assessment. , 2002, Psychophysiology.

[27]  Tzyy-Ping Jung,et al.  EURASIP Journal on Applied Signal Processing 2005:19, 3165–3174 c ○ 2005 Hindawi Publishing Corporation Estimating Driving Performance Based on EEG Spectrum Analysis , 2005 .

[28]  Lafrance,et al.  Diurnal variations in the waking EEG: comparisons with sleep latencies and subjective alertness , 2000, Journal of sleep research.

[29]  H Ramon,et al.  Validation of the wavelet spectral estimation technique in biceps brachii and brachioradialis fatigue assessment during prolonged low-level static and dynamic contractions. , 2004, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[30]  M. Zwarts,et al.  Long‐lasting supernormal conduction velocity after sustained maximal isometric contraction in human muscle , 1993, Muscle & nerve.

[31]  Pell Km,et al.  Mechanical model of skeletal muscle. , 1972 .

[32]  P J Sparto,et al.  Wavelet and short-time Fourier transform analysis of electromyography for detection of back muscle fatigue. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[33]  L. Stovner,et al.  Pain induced by low‐grade stress in patients with fibromyalgia and chronic shoulder/neck pain, relation to surface electromyography , 2006, European journal of pain.

[34]  S. Karlsson,et al.  Mean frequency and signal amplitude of the surface EMG of the quadriceps muscles increase with increasing torque--a study using the continuous wavelet transform. , 2001, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[35]  Venkatesh Balasubramanian,et al.  Ergonomic assessment of bar cutting process in construction , 2006 .

[36]  M L Hull,et al.  Muscle force as affected by fatigue: mathematical model and experimental verification. , 1993, Journal of biomechanics.

[37]  Kelvin E. Jones,et al.  The scaling of motor noise with muscle strength and motor unit number in humans , 2004, Experimental Brain Research.

[38]  J. Schumacher,et al.  Chapter 27 – Anesthesia and Analgesia , 2006 .