EMG SIGNAL PROCESSING TECHNIQUES WITH APPLICATION IN REHABILITATION
DOI:
https://doi.org/10.24867/23RB02SeguljevKeywords:
Electromyography, muscle activity, signal processing, rehabilitation systemsAbstract
This paper provides an overview of modern rehabilitation devices based on electromyography (EMG). Different methods of processing these signals enable better diagnosis of neuromuscular disorders. The combined use of EMG with other electrodiagnostic tools has resulted in a large number of studies to discover and evaluate new approaches to rehabilitation.
References
[1] Konard, P. “The ABC of EMG: A Practical Introduction to Kinesiological Electromyography”. Noraxon Inc. USA, version 1.0. (2005).
[2] Hatice Tankisi, David Burke, Liying Cui, Mamede de Carvalho, Satoshi Kuwabara, Sanjeev D. Nandedkar, Seward Rutkove, Erik Stålberg, Michel J.A.M. van Putten, Anders Fuglsang-Frederiksen, “Standards of instrumentation of EMG” January 2020. Aarhus University, Aarhus, Denmark
[3] Rubin, D. I. “Needle electromyography: Basic concepts” Handbook of Clinical Neurology, 243–256, (2019).
[4] Vladimir Medved, Sara Medvedev, Ida Kovac “Critical Appraisal of Surface Electromyography (sEMG) as a Taught Subject and Clinical Tool in Medicine and Kinesiology” Faculty of Kinesiology, University of Zagreb, Zagreb, Croatia October 2020
[5] Nizam U. Ahamed, Kenneth Sundaraj, R.Badlishah Ahmad, Sivadev Nadarajah “Wire-Driven Mechanism for Finger Rehabilitation Device” Journal of Physical Therapy Science, December 2011
[6] Rakesh Pilkar, Kamyar Momeni, Arvind Ramanujam, Manikandan Ravi, Erica Garbarini and Gail F. Forrest “Use of Surface EMG in Clinical Rehabilitation of Individuals With SCI: Barriers and Future Considerations”, Front. Neurol., 18th December 2020.
[7] Shahrol Mohamaddan, T. Komeda “Wire-driven mechanism for finger rehabilitation device”, August 2010.
[8] Gui Yin, Xiaodong Zhang, Dawei Chen, Hanzhe Li, Jiangcheng Chen, Chaoyang Chen and Stephen Lemos “Processing Surface EMG Signals for Exoskeleton Motion Control” Front Neurorobot. 2020;
[9] Robert A. Hintermeister, Gregory W. Lange, MS, Jeanne M. Schultheis, Michael J. Bey, MS, and Richard J. Hawkins, MD “Electromyographic Activity and Applied Load During Shoulder Rehabilitation Exercises Using Elastic Resistance”, The American Journal of Sports Medicine, November 17th, 2016.
[2] Hatice Tankisi, David Burke, Liying Cui, Mamede de Carvalho, Satoshi Kuwabara, Sanjeev D. Nandedkar, Seward Rutkove, Erik Stålberg, Michel J.A.M. van Putten, Anders Fuglsang-Frederiksen, “Standards of instrumentation of EMG” January 2020. Aarhus University, Aarhus, Denmark
[3] Rubin, D. I. “Needle electromyography: Basic concepts” Handbook of Clinical Neurology, 243–256, (2019).
[4] Vladimir Medved, Sara Medvedev, Ida Kovac “Critical Appraisal of Surface Electromyography (sEMG) as a Taught Subject and Clinical Tool in Medicine and Kinesiology” Faculty of Kinesiology, University of Zagreb, Zagreb, Croatia October 2020
[5] Nizam U. Ahamed, Kenneth Sundaraj, R.Badlishah Ahmad, Sivadev Nadarajah “Wire-Driven Mechanism for Finger Rehabilitation Device” Journal of Physical Therapy Science, December 2011
[6] Rakesh Pilkar, Kamyar Momeni, Arvind Ramanujam, Manikandan Ravi, Erica Garbarini and Gail F. Forrest “Use of Surface EMG in Clinical Rehabilitation of Individuals With SCI: Barriers and Future Considerations”, Front. Neurol., 18th December 2020.
[7] Shahrol Mohamaddan, T. Komeda “Wire-driven mechanism for finger rehabilitation device”, August 2010.
[8] Gui Yin, Xiaodong Zhang, Dawei Chen, Hanzhe Li, Jiangcheng Chen, Chaoyang Chen and Stephen Lemos “Processing Surface EMG Signals for Exoskeleton Motion Control” Front Neurorobot. 2020;
[9] Robert A. Hintermeister, Gregory W. Lange, MS, Jeanne M. Schultheis, Michael J. Bey, MS, and Richard J. Hawkins, MD “Electromyographic Activity and Applied Load During Shoulder Rehabilitation Exercises Using Elastic Resistance”, The American Journal of Sports Medicine, November 17th, 2016.
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Published
2023-08-03
Issue
Section
Biomedical Engineering
