PMID- 27809260
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20180126
LR  - 20181113
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 16
IP  - 11
DP  - 2016 Oct 31
TI  - New Flexible Silicone-Based EEG Dry Sensor Material Compositions Exhibiting 
      Improvements in Lifespan, Conductivity, and Reliability.
LID - 1826
AB  - This study investigates alternative material compositions for flexible 
      silicone-based dry electroencephalography (EEG) electrodes to improve the 
      performance lifespan while maintaining high-fidelity transmission of EEG signals. 
      Electrode materials were fabricated with varying concentrations of silver-coated 
      silica and silver flakes to evaluate their electrical, mechanical, and EEG 
      transmission performance. Scanning electron microscope (SEM) analysis of the 
      initial electrode development identified some weak points in the sensors' 
      construction, including particle pull-out and ablation of the silver coating on 
      the silica filler. The newly-developed sensor materials achieved significant 
      improvement in EEG measurements while maintaining the advantages of previous 
      silicone-based electrodes, including flexibility and non-toxicity. The 
      experimental results indicated that the proposed electrodes maintained suitable 
      performance even after exposure to temperature fluctuations, 85% relative 
      humidity, and enhanced corrosion conditions demonstrating improvements in the 
      environmental stability. Fabricated flat (forehead) and acicular (hairy sites) 
      electrodes composed of the optimum identified formulation exhibited low impedance 
      and reliable EEG measurement; some initial human experiments demonstrate the 
      feasibility of using these silicone-based electrodes for typical lab data 
      collection applications.
FAU - Yu, Yi-Hsin
AU  - Yu YH
AD  - Department of Interactive Entertainment Design, China University of Technology, 
      Taipei 11695, Taiwan. ysyou0409@cute.edu.tw.
FAU - Chen, Shih-Hsun
AU  - Chen SH
AD  - Department of Mechanical Engineering, National Taiwan University of Science and 
      Technology, Taipei 10607, Taiwan. shchen@mail.ntust.edu.tw.
FAU - Chang, Che-Lun
AU  - Chang CL
AD  - Brain Research Center, National Chiao Tung University, Hsinchu 300, Taiwan. 
      chelun@nctu.edu.tw.
FAU - Lin, Chin-Teng
AU  - Lin CT
AD  - Faculty of Engineering and Information Technology, University of Technology, 
      Sydney 2007, Australia. Chin-Teng.Lin@uts.edu.au.
FAU - Hairston, W David
AU  - Hairston WD
AD  - Translational Neuroscience Branch, Human Research and Engineering Directorate, 
      U.S. Army Research Laboratory, Adelphi, MD 20783, USA. 
      william.d.hairston4.civ@mail.mil.
FAU - Mrozek, Randy A
AU  - Mrozek RA
AD  - Macromolecular Science and Technology Branch, Weapons and Materials Research 
      Directorate, U.S. Army Research Laboratory, Adelphi, MD 20783, USA. 
      randy.a.mrozek.civ@mail.mil.
LA  - eng
PT  - Journal Article
DEP - 20161031
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
PMC - PMC5134485
OTO - NOTNLM
OT  - electroencephalography (EEG)
OT  - scanning electron microscope (SEM)
OT  - silicone-based dry sensors
COIS- The authors declare no conflict of interest.
EDAT- 2016/11/04 06:00
MHDA- 2016/11/04 06:01
PMCR- 2016/11/01
CRDT- 2016/11/04 06:00
PHST- 2016/06/13 00:00 [received]
PHST- 2016/10/15 00:00 [revised]
PHST- 2016/10/22 00:00 [accepted]
PHST- 2016/11/04 06:00 [pubmed]
PHST- 2016/11/04 06:01 [medline]
PHST- 2016/11/04 06:00 [entrez]
PHST- 2016/11/01 00:00 [pmc-release]
AID - s16111826 [pii]
AID - sensors-16-01826 [pii]
AID - 10.3390/s16111826 [doi]
PST - epublish
SO  - Sensors (Basel). 2016 Oct 31;16(11):1826. doi: 10.3390/s16111826.