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Authors: M. Raad ; M. Deriche ; A. Hafeedh ; H. Almasawa ; K. Jofan ; H. Alsakkaf ; A. Bahumran and M. Salem

Affiliation: King Fahd University of Petroleum and Minerals, Dhahran, 31261 and Saudi Arabia

ISBN: 978-989-758-353-7

Keyword(s): Arduino, Rheumatoid Arthritis, Therapy, Smart Glove, E-textile, IOT, Bluetooth.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Devices ; Health Information Systems ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Physiological Computing Systems ; Wearable Sensors and Systems

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 trans mission. 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. (More)

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Paper citation in several formats:
Raad, M.; Deriche, M.; Hafeedh, A.; Almasawa, H.; Jofan, K.; Alsakkaf, H.; Bahumran, A. and Salem, M. (2019). An IOT based Wearable Smart Glove for Remote Monitoring of Rheumatoid Arthritis Patients.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4 BIOSIGNALS: BIOSIGNALS, ISBN 978-989-758-353-7, pages 224-228. DOI: 10.5220/0007573302240228

@conference{biosignals19,
author={M. Raad. and M. Deriche. and A. Bin Hafeedh. and H. Almasawa. and K. Bin Jofan. and H. Alsakkaf. and A. Bahumran. and M. Salem.},
title={An IOT based Wearable Smart Glove for Remote Monitoring of Rheumatoid Arthritis Patients},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4 BIOSIGNALS: BIOSIGNALS,},
year={2019},
pages={224-228},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007573302240228},
isbn={978-989-758-353-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4 BIOSIGNALS: BIOSIGNALS,
TI - An IOT based Wearable Smart Glove for Remote Monitoring of Rheumatoid Arthritis Patients
SN - 978-989-758-353-7
AU - Raad, M.
AU - Deriche, M.
AU - Hafeedh, A.
AU - Almasawa, H.
AU - Jofan, K.
AU - Alsakkaf, H.
AU - Bahumran, A.
AU - Salem, M.
PY - 2019
SP - 224
EP - 228
DO - 10.5220/0007573302240228

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