Improved Sweat Artifact Tolerance of Screen-Printed EEG Electrodes by Material Selection-Comparison of Electrochemical Properties in Artificial Sweat
The accurate diagnosis of sleep disorders requires an electroencephalography (EEG) recording. However, in-home EEG-based sleep monitoring has been hindered by the present cumbersome electrode systems which are impractical for patient self-application. To overcome this shortcoming, we recently introd...
Main Authors: | Laura Kalevo, Tomi Miettinen, Akseli Leino, Samu Kainulainen, Katja Myllymaa, Juha Toyras, Timo Leppanen, Sami Myllymaa |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8835030/ |
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