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Flexible Forearm Triboelectric Sensors for Parkinson's Disease Diagnosing and Monitoring.
Anaya, David F. Vera; He, Tianyiyi; Redouté, Jean-Michel et al.
2022In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2022, p. 4909-4912
Peer reviewed
 

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Abstract :
[en] Existing approaches that assess and monitor the severity of Parkinson's Disease (PD) focus on the integration of wearable devices based on inertial sensors (accelerometers, gyroscopes) and electromyographic (EMG) transducers. Nevertheless, some of these sensors are bulky and lack comfortability. This manuscript presents triboelectric nanogenerators (TENGs) as an alternative stretchable sensor solution enabling PD monitoring systems. The prototype has been developed using a triboelectric sensor based on Ecoflex™ and PEDOT:PSS that is placed on the forearm. The movement of the skin above the forearm muscles and tendons correlates with the extension and flexion of fingers and hands. This way, the small gap of 0.5 cm between the polymer layers is displaced, generating voltage due to the triboelectric contact. Signals from preliminary experiments can discriminate different dynamics of emulated tremor and bradykinesia in hands and fingers. A modified version of the TS is integrated with a printed circuit board (PCB) in a single package with signal conditioning and wireless data transmission. The sensor platforms have demonstrated a good sensitivity to PD symptoms like bradykinesia and tremor based on the Unified Parkinson's Disease Rating Scale (MDS:UPDRS).
Disciplines :
Electrical & electronics engineering
Author, co-author :
Anaya, David F. Vera;  Monash University,Department of Electrical and Computer Systems Engineering,Melbourne,Victoria,Australia,3800
He, Tianyiyi;  National University of Singapore,Department of Electrical and Computer Engineering and Center for Intelligent Sensors and MEMS (CISM),Singapore,Singapore,117583
Redouté, Jean-Michel  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Systèmes microélectroniques intégrés ; Monash University,Department of Electrical and Computer Systems Engineering,Melbourne,Victoria,Australia,3800
Lee, Chengkuo;  National University of Singapore,Department of Electrical and Computer Engineering and Center for Intelligent Sensors and MEMS (CISM),Singapore,Singapore,117583
Yuce, Mehmet R;  Monash University,Department of Electrical and Computer Systems Engineering,Melbourne,Victoria,Australia,3800
Language :
English
Title :
Flexible Forearm Triboelectric Sensors for Parkinson's Disease Diagnosing and Monitoring.
Publication date :
July 2022
Event name :
Annual International Conference of the IEEE Engineering in Medicine and Biology Societ
Event date :
July 2022
Audience :
International
Journal title :
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
eISSN :
2694-0604
Publisher :
IEEE, United States
Volume :
2022
Pages :
4909-4912
Peer reviewed :
Peer reviewed
Available on ORBi :
since 13 September 2022

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