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An IOT based wearable smart glove for remote monitoring of rheumatoid arthritis patients

  • M. Raad
  • , M. Deriche
  • , A. Bin Hafeedh
  • , H. Almasawa
  • , K. Bin Jofan
  • , H. Alsakkaf
  • , A. Bahumran
  • , M. Salem

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

15 Scopus citations

Abstract

Rheumatoid Arthritis is a disabling and painful disease of finger joints affecting mainly the elderly people and requiring continuous medications and physical therapy. Traditional arthritis measurements require labor intensive examination by clinical staff. These manual measurements are inaccurate and subject to observer variations. Nowadays the use of wearable technologies is spreading and rapidly becoming a trend promising to offer key benefits in the management of chronic diseases especially at home. Here, we propose an affordable Smart Glove instrument for assisting physiotherapists in remotely analysing patients finger flexions when performing diverse activities at home. An E-textile based glove uses flex and force sensors, and an Arduino platform to transmit motion data to the physiotherapists using a smart phone using a dedicated App. The flex sensor on the index finger detects and estimates the motion, a BLE (Bluetooth Low Energy) Nano is used for processing and wireless transmission. The wearable smart glove uses a lithium ion 3.3V rechargeable 400mAH battery for consuming power. This Smart Glove also helps in monitoring the patient's response to either medication and/or diverse recommended movements. The data collected can be used to analyse the status of the patient with time and also in assisting care givers to change planned activities or exercises when needed.

Original languageEnglish
Title of host publicationBIOSIGNALS 2019 - 12th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
EditorsFelix Putze, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages224-228
Number of pages5
ISBN (Electronic)9789897583537
DOIs
StatePublished - 2019

Publication series

NameBIOSIGNALS 2019 - 12th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019

Bibliographical note

Publisher Copyright:
Copyright © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Arduino
  • Bluetooth
  • E-textile
  • IOT
  • Rheumatoid arthritis
  • Smart glove
  • Therapy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering

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