NEURO-MUSCULAS FATIGUE PREDICTION USING sEMG SIGNALS
Abstract & Details
Research Area
Electronics and Communication Engineering
Keywords
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Abstract
Physical activity is a necessity for the present lifestyle. Over burdening the body can be dangerous causing fatigue. Detection of such a phenomenon had been the main area of research in the bioengineering fields. To predict such muscle activity, electromyography with sophisticated machinery is being method used by medical practitioners which is not economical. The main problem associated with surface EMG signals is lower quality of the sEMG signals due to lot of noise associated with the signals. This work aims at developing a simple and cost effective hardware module that detects the muscle fatigue in human body using the surface EMG signals. The main aspect of this project is the assessment of the muscular liveliness and thus the fatigue related to it.
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Pavansimha. K | Rajarajeswari College of Engineering, Bangalore, Karnataka, India |
| 2 | Kiran. N.B | Rajarajeswari College of Engineering, Bangalore, Karnataka, India |
| 3 | Chaitra. K.N | Rajarajeswari College of Engineering, Bangalore, Karnataka, India |
| 4 | Dr. L. Swarna Jyothi | Rajarajeswari College of Engineering, Bangalore, Karnataka, India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
K, Pavansimha., N.B, Kiran., K.N, Chaitra., & L. Swarna Jyothi, Dr. (2017). NEURO-MUSCULAS FATIGUE PREDICTION USING sEMG SIGNALS. International Journal of Advance Research and Innovative Ideas In Education, 2(5), 191-196.
MLA Style
K, Pavansimha., et al. "NEURO-MUSCULAS FATIGUE PREDICTION USING sEMG SIGNALS." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 5, 2017, pp. 191-196.
IEEE Style
Pavansimha. K, Kiran. N.B, Chaitra. K.N, and Dr. L. Swarna Jyothi, "NEURO-MUSCULAS FATIGUE PREDICTION USING sEMG SIGNALS," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 5, pp. 191-196, 2017.
Vancouver Style
K Pavansimha., N.B Kiran., K.N Chaitra., L. Swarna Jyothi Dr.. NEURO-MUSCULAS FATIGUE PREDICTION USING sEMG SIGNALS. International Journal of Advance Research and Innovative Ideas In Education. 2017;2(5):191-196.
Harvard Style
K, Pavansimha., N.B, Kiran., K.N, Chaitra., & L. Swarna Jyothi, Dr. (2017) 'NEURO-MUSCULAS FATIGUE PREDICTION USING sEMG SIGNALS', International Journal of Advance Research and Innovative Ideas In Education, 2(5), pp. 191-196.
Chicago Style
K, Pavansimha., et al. "NEURO-MUSCULAS FATIGUE PREDICTION USING sEMG SIGNALS." International Journal of Advance Research and Innovative Ideas In Education 2, no. 5 (2017): 191-196.
Turabian Style
K, Pavansimha., et al. "NEURO-MUSCULAS FATIGUE PREDICTION USING sEMG SIGNALS." International Journal of Advance Research and Innovative Ideas In Education 2, no. 5 (2017): 191-196.
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