Performance Analysis of Artificial Neural Network for Hand Movement Detection from EMG Signals

Abstract

This paper emphasizes on the hand movement recognition using artificial neural network (ANN). It shows the methodology that analyses and classifies the electromyography (EMG) signals using neural networks to control multifunction prostheses. The control of these prostheses can be made using myoelectric signals taken from surface electrodes. The linear neural network was employed in the EMG signal classification system as EMG signals contain many artifacts and noise, so linear classification helps to give the accurate classification results which can be further used for myoelectric controls. The experimental results show a promising performance in the classification of hand movements based on EMG pattern. The hand movements used were Flexion and Extension of wrist, Flexion and Extension of elbow, Closing and opening of hand, and the Supination and Pronation of forearm.

KEYWORDS:

• Artificial Neural Network
• Classification
• EMG
• Prosthetic

Acknowledgments

The authors acknowledge the support of all volunteers who participated in the study. This work is an extended version of the conference paper entitled, ‘Comparative study and feature extraction of the muscle activity patterns in healthy subjects,’ by A. Saikia, S. Mazumdar, N. Sahai, S. Paul, D. Bhatia. International Conference on Signal Processing and Integrated Networks (SPIN), pp. 147–51, IEEE, 2016”. The authors would like to acknowledge the above-mentioned paper and all its authors.

Additional information

Funding

This study is funded by a research grant (Ref: BT/532/NE/TBP/2013) from the Department of Biotechnology (DBT), Government of India to the University.

Notes on contributors

Angana Saikia

Angana Saikia is currently pursuing her PhD in the Department of Biomedical Engineering, NEHU, Shillong. Previously, she was working as a senior research fellow (SRF), Department of Biomedical Engineering, NEHU, Shillong. She completed her BE in applied electronics and instrumentation from Guwahati University, Assam, in 2011 and her MTech in bioelectronics from Tezpur Central University, Assam, India in 2014. Email: [email protected]

Sushmi Mazumdar

Sushmi Mazumdar is currently working as project assistant (PA) in the Department of Biomedical Engineering, NEHU, Shillong. She worked as a trainee in Biomedical Engineering Department of Vijaya Hospital Chennai. She completed her BTech in biomedical from Sathyabama University, Chennai, India in 2014. She is presently pursuing her MTech in nanotechnology from the Department of Nanotechnology, NEHU, Shillong. Email: [email protected]

Nitin Sahai

Nitin Sahai is currently working as assistant professor in the Department of Biomedical Engineering, NEHU, Shillong. Previously he worked as an assistant professor of Lovely Professional University, Jalandhar, India. He completed his BTech in biotechnology from Uttar Pradesh Technical University in 2007 and MTech in biomedical engineering from Motilal Nehru National Institute of Technology, Allahabad, India in 2010. He has several research papers in reputed international journals with teaching experience of five years. His areas of interests include biomechanics, computer aided tissue engineering and biomaterials.

Sudip Paul

Sudip Paul is currently working as assistant professor in the Department of Biomedical Engineering, NEHU, Shillong. He completed his BTech in Biomedical Engineering from West Bengal University of Technology, India in 2007 and MTech in biomedical engineering from Banaras Hindu University, India in 2009. He completed his PhD from IIT (BHU). He has several research papers in reputed journals in the field of electrophysiology, biomedical instrumentation, biomedical signal processing, artificial organ and rehabilitation system. Email: [email protected]

Dinesh Bhatia

Dinesh Bhatia pursued his PhD in biomechanics and rehabilitation engineering from MNNIT, Allahabad, India in 2010 with bachelor's (2002) and master's degree (2004) in biomedical engineering from Mumbai University. He completed his MBA from IMT Ghaziabad in 2007. He is currently working as associate professor and head, Department of Biomedical Engineering, North Eastern Hill University (NEHU), Shillong, Meghalaya, India since August 2013. Additionally, he is the coordinator, Career and Counselling Cell, NEHU, Shillong since May 2014 and looking after training, counselling and placement of students of the University. He was selected for the “Young Scientist Award (BOYSCAST)” in (2011–2012) by the Government of India to pursue research in osteoarthritis for one year at Adaptive Neural Systems Laboratory, Biomedical Engineering Department, Florida International University, Miami, FL, USA. He is also the recipient of “INAE Fellowship Award” in 2011 by Indian National Academy of Engineering. He was selected as one of the 12 young Biomedical scientists by the ICMR, Govt. of India to pursue research fellowship (2014–2015) in the field of sensory prosthetics at University of Glasgow, Scotland, UK. He has several research papers in reputed journals, conference, seminars and symposia and books with teaching and research experience of more than 12 years. His interest areas are medical instrumentation, biomechanics and rehabilitation engineering, medical informatics, signal and image processing, and marketing and international business. Email: [email protected]