International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly Peer-reviewed / Refereed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since  2013

Abstract: The Electromyogram (EMG) technique is commonly used to assess muscle health and identify nerve and muscle tissue issues. In this paper, a project is presented that employs a specialized EMG sensor as a tool for recording, analyzing, and presenting muscle activity in real-time. This monitoring can help for analyzing different neuromuscular diseases.The project uses an IoT approach to acquire and transmit EMG signals wirelessly to a live EMG reading is recorded using the Wi-Fi-enabled NodeMCU and Arduino and then sent to a remote server in our case ThingSpeak server with the help of IoT concepts which helps in the telemetry of the obtained remote ThingSpeak server, as well as displaying the live recordings on a PC through the Arduino serial plotter. This technology could assist in monitoring a patient's progress remotely, without the need for physiotherapists to be physically present. Therefore, this project aims to develop an IoT-Based EMG monitoring device for the analysis of EMG signals.

Keywords: Internet Of Things(IOT), Electromyography(EMG), Neuromuscular diseases etc.

PDF | DOI: 10.17148/IJIREEICE.2023.11302

Open chat