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Health Monitoring Analysis

EasyChair Preprint no. 2606

3 pagesDate: February 8, 2020

Abstract

In today’s health focused world, monitoring one’s health has become an important aspect of maintaining one’s fitness and health. We have many such applications for ECG monitoring, EEG monitoring, and various other health related electrography signals but very few for EMG monitoring. This system aims to solve that. Our system will be used to analyse and monitor EMG signals and feed the output to a fitness app which will relay the information to the user. The input will be raw EMG signals from EMG signal sensors and data collectors, perform analysis of the said signals and extract various information from it and then present it to the user. The extracted information will tell the user if he has any irregularities in his muscles or any abnormalities present as well as monitor muscle fatigue and nerves disorder. The proposed system will be used to monitor EMG signals for the purpose of fitness app for health monitoring.

Keyphrases: analysis, Electromyography, EMG, monitoring

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:2606,
  author = {Lutful Islam and Mohd Zaki Haji and Mohammad Noor Shaikh and Saad Khan},
  title = {Health Monitoring Analysis},
  howpublished = {EasyChair Preprint no. 2606},

  year = {EasyChair, 2020}}
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