A Robust and Adaptive Algorithm for Real-time Muscle Activity Interval Detection using EMG Signals

Rabya Bahadur, Saeed ur Rehman

Abstract

Detection of Muscle Activity Interval plays a pivotal role in the design and implementation of real-time Myoelectric controlled devices and their applications. This paper presents an algorithm for real-time detection of onset/offset points in the muscles activity by employing adaptive threshold technique on the Correlation Coefficient of Taeger Kaiser Energy Operator using low cost hardware. Performance of the algorithm has also been evaluated through real-time tests carried out under various constrained scenarios and different signal to noise ratios, revealing very promising results with a maximum accuracy of 99.9% using medium or no external forces.

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Paper Citation


in Harvard Style

Bahadur R. and Rehman S. (2018). A Robust and Adaptive Algorithm for Real-time Muscle Activity Interval Detection using EMG Signals.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS, ISBN 978-989-758-279-0, pages 89-96. DOI: 10.5220/0006536200890096


in Bibtex Style

@conference{biosignals18,
author={Rabya Bahadur and Saeed ur Rehman},
title={A Robust and Adaptive Algorithm for Real-time Muscle Activity Interval Detection using EMG Signals},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,},
year={2018},
pages={89-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006536200890096},
isbn={978-989-758-279-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS,
TI - A Robust and Adaptive Algorithm for Real-time Muscle Activity Interval Detection using EMG Signals
SN - 978-989-758-279-0
AU - Bahadur R.
AU - Rehman S.
PY - 2018
SP - 89
EP - 96
DO - 10.5220/0006536200890096