Maheswaran, B., & Azgar, S., & Ramesh, K., & Yee, T., & Tadigadapa, A., & Manxhari, V. (2022, August), The Myowearable Sleeve: A Surface Electromyography Injury Prevention Device  Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40416

\bibitem{asee_peer_40416}
  Maheswaran, B., \& Azgar, S., \& Ramesh, K., \& Yee, T., \& Tadigadapa, A., \& Manxhari, V. (2022, August), \emph{The Myowearable Sleeve: A Surface Electromyography Injury Prevention Device}
  Paper presented at 2022 ASEE Annual Conference \& Exposition, Minneapolis, MN.
  10.18260/1-2--40416

Bala Maheswaran, Sakib Azgar, Kaitlyn Ramesh, Ted Yee, Ananya Tadigadapa, and Violet Manxhari.  "The Myowearable Sleeve: A Surface Electromyography Injury Prevention Device".  2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022, August.  ASEE Conferences, 2022.  https://peer.asee.org/40416 Internet.  30 Dec, 2024

\bibitem{asee_peer_40416}
  Bala Maheswaran, Sakib Azgar, Kaitlyn Ramesh, Ted Yee, Ananya Tadigadapa, and Violet Manxhari.
  "The Myowearable Sleeve: A Surface Electromyography Injury Prevention Device".
  \emph{2022 ASEE Annual Conference \& Exposition, Minneapolis, MN, 2022, August}.
  ASEE Conferences, 2022.
  https://peer.asee.org/40416 Internet.  30 Dec, 2024

@INPROCEEDINGS{asee_peer_40416
author = "Bala Maheswaran, Sakib Azgar, Kaitlyn Ramesh, Ted Yee, Ananya Tadigadapa, and Violet Manxhari"
title = "The Myowearable Sleeve: A Surface Electromyography Injury Prevention Device"
booktitle = "2022 ASEE Annual Conference \& Exposition"
year = "2022"
month = "August"
address = "Minneapolis, MN"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/40416}
number = {10.18260/1-2--40416}
}

TY  - CPAPER
AB  - Abstract

	Many injured athletes face the possibility of recurring injury while unknowingly overstraining their muscles. To help prevent such injuries, a sleeve-mounted medical device called the Myowearable was developed, able to monitor the amount of electrical stimulation in the adjacent muscle and alert the user when they are in danger of injury. Three electrodes of a surface electromyography (sEMG) sensor touching the skin record the stimulation in the muscle and send the collected data to a computer. The software on the user’s paired computer provides real-time visual and audio feedback to the user as well as analysis of the collected data to inform the user when they are more in danger of hurting themselves. 

	The current Myowearable prototype was designed to analyze stimulation in me of two easily-accessible muscles depending on where the sleeve is worn: the semimembranosus hamstring tendon or the long head of the biceps brachii. It alerts the user if they exceed an adjustable limit, predicting when they might injure themselves. In future iterations, the limit will be pre-calculated based on user characteristics. Furthermore, it has two real-time graphs: one that plots the raw values read via Bluetooth from the EMG sensor and a second smoothed graph of the data. After a data set is collected, the user can click a button on the Myowearable GUI that displays the aforementioned graphs as well two new ones. The third applies a Fourier transform to the signal to convert it to a frequency domain, and the fourth plots the mean frequency calculated per second of data. The slope of a line of best fit of the fourth graph can be used to determine the user’s current state of muscle fatigue, which can factor into an individual’s risk of injury. A commercially available and non-professional product for use during exercise such as the Myowearable will provide cost-friendly access to a tool that can greatly reduce the risk of recurring injury.

AU  - Bala Maheswaran
AU  - Sakib Azgar
AU  - Kaitlyn Ramesh
AU  - Ted Yee
AU  - Ananya Tadigadapa
AU  - Violet Manxhari
CY  - Minneapolis, MN
DA  - 2022/08/23
PB  - ASEE Conferences
TI  - The Myowearable Sleeve: A Surface Electromyography Injury Prevention Device
UR  - https://peer.asee.org/40416
DO  - 10.18260/1-2--40416
ER  -