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Simulation analysis of a wearable dry EEG electrodes for epilepsy monitoring

Authors :
Ruiqi Lim
Weiguo Chen
Yuan Gao
Derrick Chan
Ming-Yuan Cheng
Ramona Damalerio
Source :
2017 IEEE 19th Electronics Packaging Technology Conference (EPTC).
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

Wearable electroencephalography (EEG) system can be worn for prolonged periods and have been widely used to reduce susceptibility to artifacts. It can improve localization of epileptic foci, and help doctors to optimize the treatment for patients to control epileptic seizures effectively. Commercial metal-based dry EEG sensors are capable of providing signal acquisition, however it is uncomfortable for patients since the sensor's material property is too hard to wear. In this study, design and fabrication process of dry EEG sensor are proposed for epilepsy monitoring. A medical grade silicone, Polydimethylsiloxane (PDMS), was molded as deformable substrate of the sensor. Virtual prototyping was created and simulated by ANSYS mechanical structural module. Force measurement of the fabricated sensor was conducted and discussed. The actual and simulated of sensor's stiffness were characterized and discussed.

Details

Database :
OpenAIRE
Journal :
2017 IEEE 19th Electronics Packaging Technology Conference (EPTC)
Accession number :
edsair.doi...........e71fd5bc923fb93bd4c6489b1fdb95c1