EMG BASED SHORT-TERM AND LONG-TERM ANALYSIS OF MUSCLE FATIGUE DERIVED FROM AN ENDURANCE BASED EXERCISE REGIMEN
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The human muscular system is complex and multi-functional. Injuries to muscles or their neuromuscular controllers can result in impairment of various functions of the body,especially locomotion. Recovery from these injuries can be a very long and inconsistentprocess. A major cause of this is muscle fatigue. It has a significant detrimental effect on daily functional activities that require repetitive motion, postural control, or manipulation of objects. Currently, there are no objective methods to indicate how fatigue changes withexercise. The ability to detect the onset of fatigue is therefore crucial in developing a quantitative metric to identify muscle performance and its changes over a specified period of time.This study consists of the development of a wearable EMG data acquisition device which will in turn facilitate in quantification and detection of muscle fatigue during an endurance based exercise routine. Data acquisition involves the usage of standard conventional wet electrodes and custom made dry electrodes. Data are acquired from test subjects’ biceps to identify short-term and long-term changes in muscle fatigue and the subsequent resistance to it, as well as its effects on endurance based therapeutic exercise interventions. Acquisition and analysis of long term and short term data can also provide meaningful insights in determiningthe optimal endurance exercise regimen for neuromuscular rehabilitation, sports rehabilitation and also for people following any kind of exercise regimen for general fitness.