Knee Abnormality Diagnosis Based on Electromyography Signals

Author:

Issa SaliORCID,Khaled Abdel Rohman

Publisher

Springer International Publishing

Reference23 articles.

1. International Design Foundation. Human-Computer Interaction (HCI). https://www.interaction-design.org/literature/topics/human-computer-interaction. Accessed 30 Sept 2021

2. Electrogram. https://www.merriam-webster.com/dictionary/electrogram. Accessed 30 Sept 2021

3. Raez, M.B.I., Hussain, M.S., Mohd-Yasin, F.: Techniques of EMG signal analysis: detection, processing, classification and applications. Biol. Proced. Online 8, 11–35 (2006)

4. Govindhan, A., Kandasamy, S., Satyanarayan, M., Singh, P., Aadhav, I.: Towards development of a portable apparatus for knee health monitoring. In: 3rd International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE), Noida, India. IEEE (2019)

5. Aiello, E., et al.: Visual EMG biofeedback to improve ankle function in hemiparetic gait. In: IEEE Engineering in Medicine and Biology 27th Annual Conference 2019, Shanghai, China. IEEE (2019)

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