A wearable EMG sensor for continuous wrist neuromuscular activity for monitoring

Authors

  • Lalita Chilmakuri Independent Researcher, Telangana, India Author
  • Ayush Kumar Mishra Independent Researcher, Odisha, India Author
  • Divyansh Shokeen Independent Researcher, Delhi, India Author
  • Paakhi Gupta Independent Researcher, Punjab, India Author
  • Harmankaur Harjeetsingh Wadhwa University of Cincinnati, Ohio, United States of America Author
  • Karan Dhingra Department of Biomedical Engineering, University of Ottawa, Ontario, Canada Author
  • Saloni Verma Department of Biomedical Engineering, Cornell University, New York, United States of America Author

DOI:

https://doi.org/10.60087/jklst.v3.n4.p148

Abstract

Carpal Tunnel Syndrome (CTS) is an entrapment neuropathy that affects 3-6% of the adult population globally. About 90% of nerve-damaging diseases are labeled CTS when diagnosed, making it one of the most prominent nerve dysfunctions in the current population metrics. CTS cases have soared in a world where digital gadgets are progressively gaining traction. There is also a high onset of CTS  in laborers specializing in fine motor skills. A patient with CTS typically entails symptoms of pain, numbness, and tingling in the wrist. However, accurate diagnosis and consistent checkups for CTS are becoming a bigger issue. In this research paper, we demonstrate the utilization of various diagnostic tests in supporting CTS diagnosis and the necessity for a monitoring system to track wrist neuromuscular activity. By analyzing traditional assessment techniques and identifying their limitations, we can enhance diagnosis, making it easier for patients to deal with the condition. This approach has culminated in the development of our prototype, BracEMG. Through a wearable EMG sensor, our prototype aims to track possible signs of CTS or other nerve dysfunctions at the wrist. The findings gained through an EMG test support our research by outlining the prevalence of CTS across different age groups and illustrating the levels of muscular activity in a graphical format. Our results demonstrate overall muscle activity at the wrist. Since no universally accepted standard for diagnosing CTS exists, we envision our work as the starting point for more extensive research. The limitations of our prototype can become the foundation for future developments in the industry revolving around CTS.

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Published

14-09-2024

How to Cite

Chilmakuri, L., Mishra, A. K., Shokeen, D. ., Gupta, P. ., Wadhwa, H. H., Dhingra, K. ., & Verma, S. (2024). A wearable EMG sensor for continuous wrist neuromuscular activity for monitoring. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 3(4), 148-159. https://doi.org/10.60087/jklst.v3.n4.p148

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