A wearable EMG sensor for continuous wrist neuromuscular activity for monitoring
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.
Authors
- Karan Dhingra
- Lalita Chilmakuri
- Divyansh Shokeen
- Paakhi Gupta
- Harmankaur Harjeetsingh Wadhwa
- Saloni Verma
- Ayush Kumar Mishra
Institutions
- University of Ottawa (CA)
- Cornell University (US)
- Oldham Council (GB)
- University of Cincinnati (US)
Publication Details
- Journal
- Journal of Knowledge Learning and Science Technology ISSN 2959-6386 (online)
- Published
- 2024-09-14
- DOI
- https://doi.org/10.60087/jklst.v3.n4.p148
- Citations
- 3
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.55