NDLI: A stretchable electrode array for non-invasive, skin-mounted measurement of electrocardiography (ECG), electromyography (EMG) and electroencephalography (EEG)

Content Provider	IEEE Xplore Digital Library
Author	Rui Ma Dae-Hyeong Kim McCormick, M. Coleman, T. Rogers, J.
Copyright Year	2010
Description	Author affiliation: Department of Materials Science and engineering, University of Illinois at Urbana-Champaign, 61801, USA (Dae-Hyeong Kim; Rogers, J.) \|\| Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 61801, USA (McCormick, M.; Coleman, T.) \|\| Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 61801, USA (Rui Ma)
Abstract	This paper reports a class of stretchable electrode array capable of intimate, conformal integration onto the curvilinear surfaces of skin on the human body. The designs employ conventional metallic conductors but in optimized mechanical layouts, on soft, thin elastomeric substrates. These devices exhibit an ability to record spontaneous EEG activity even without conductive electrolyte gels, with recorded alpha rhythm responses that are 40% stronger than those collected using conventional tin electrodes and gels under otherwise similar conditions. The same type of device can also measure high quality ECG and EMG signals. The results suggest broad utility for skin-mounted measurements of electrical activity in the body, with advantages in signal levels, wearability and modes of integration compared to alternatives.
Starting Page	6405
Ending Page	6408
File Size	527240
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627315
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Arrays Electroencephalography Electrocardiography Skin Electromyography Materials
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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