Design of Wireless Electromyography (EMG) Monitoring System for Muscle Activity Detection on Parkinson Disease

Nisrina Firyal Fadhlannisa, Basari Basari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Parkinson's disease attacking 1 percent of the elder population in this world, with one of the main symptoms of this disease being resting tremor. Until now, Parkinson's disease information acquisition can only be done through patients' visits to clinics or hospitals, whereas the aspects of the disease are also shown during in-between those visits. In this research, we develop an Electromyography (EMG) based remote-monitoring systemin order for patients are able to be checked more frequently and the results are in always-renewed information. This monitoring system utilizes NodeMCU as the compiler component and ESP8266 WiFi module and web server. The data acquired from an arm of a tested person will always be read in real-time and can be displayed on web-based platform. From the data acquired, they are processed in detail for pattern characteristics analysis. We have successfully carried out the experimental test by displaying on the web server-based monitoring system.

Original languageEnglish
Title of host publicationProceeding - ICoSTA 2020
Subtitle of host publication2020 International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728130835
DOIs
Publication statusPublished - Feb 2020
Event2020 International Conference on Smart Technology and Applications, ICoSTA 2020 - Surabaya, Indonesia
Duration: 20 Feb 2020 → …

Publication series

NameProceeding - ICoSTA 2020: 2020 International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development

Conference

Conference2020 International Conference on Smart Technology and Applications, ICoSTA 2020
CountryIndonesia
CitySurabaya
Period20/02/20 → …

Keywords

  • Electromyography
  • ESP8266
  • NodeMCU
  • Parkinson
  • wireless remote monitoring system

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