3D Printed Dry EEG Electrodes
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 51219407
- Type
- D - Journal article
- DOI
-
10.3390/s16101635
- Title of journal
- Sensors
- Article number
- 1635
- First page
- -
- Volume
- 16
- Issue
- -
- ISSN
- 1424-8220
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
F - EEE
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Several research groups have used or are building upon the approaches introduced in this paper, for example, at University of Pittsburgh (USA), University of Amsterdam (NL), New York University (USA); also Vagus Health Ltd, UK [contact: Founder and CEO, Vagus Health]. The work also led to presentations in mini-symposiums at the IEEE Engineering in Medicine Biology conference in 2016 (USA) and 2020 (Canada/Online).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
