UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 12
December-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2212339


Registration ID:
505492

Page Number

d269-d274

Share This Article


Jetir RMS

Title

EMG MUSCLE FATIGUE DETECTION

Abstract

Muscle fatigue and injuries are extremely common and may have a profound effect on the individual presenting with them. They are not restricted to professional athletes or indeed athletes at all but may occur commonly in people who have physically demanding jobs. The most important step to successful treatment is accurate diagnosis and sound professional advice, one that involves physiotherapists and other specialists. If well diagnosed and monitored, it would allow a healthier life for people suffering from injuries and those undergoing rehabilitation sessions. This project is based on the principle of Electromyography using a Myoware muscle sensor. The sensor can be fixed to any standard and can be positioned on the desired body part of the individual and can measure the Fatigue experienced by the specific muscle groups simultaneously with greater precision. The device gives us real time data of the muscle groups by measuring the EMG potential, voltage, and sensor values, which would also be the basis for different types of muscle injuries, their diagnosis, monitoring and severity classification. The aim is to develop a NodeMcu ESP8266 based IOT EMG monitoring device, which will analyze the EMG signal, generated from various muscle groups to check the performance of fatigue in that muscle.

Key Words

Cite This Article

" EMG MUSCLE FATIGUE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.d269-d274, December-2022, Available :http://www.jetir.org/papers/JETIR2212339.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

" EMG MUSCLE FATIGUE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppd269-d274, December-2022, Available at : http://www.jetir.org/papers/JETIR2212339.pdf

Publication Details

Published Paper ID: JETIR2212339
Registration ID: 505492
Published In: Volume 9 | Issue 12 | Year December-2022
DOI (Digital Object Identifier):
Page No: d269-d274
Country: MUMBAI, MAHARASHTRA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000114

Print This Page

Current Call For Paper

Jetir RMS