Dimitriadis, Stavros  ORCID: https://orcid.org/0000-0002-0000-5392
2017.
A high performing EEG approach for the automated scoring of the sleep stages of neonates.
Clinical Neurophysiology
128
(6)
, pp. 1039-1040.
10.1016/j.clinph.2017.04.001
|
Preview |
PDF
- Accepted Post-Print Version
Download (147kB) | Preview |
Official URL: http://dx.doi.org/10.1016/j.clinph.2017.04.001
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Research Institutes & Centres > MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Research Institutes & Centres > Cardiff University Brain Research Imaging Centre (CUBRIC) Schools > Medicine Schools > Psychology |
| Additional Information: | PDF uploaded in accordance with Publisher's policies at http://www.sherpa.ac.uk/romeo/issn/1388-2457/ (accessed 28.4.17). |
| Publisher: | Elsevier |
| ISSN: | 1388-2457 |
| Date of First Compliant Deposit: | 27 April 2017 |
| Date of Acceptance: | 8 April 2017 |
| Last Modified: | 24 Nov 2024 00:30 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/100145 |
Citation Data
Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
 |
Edit Item |
Altmetric
Altmetric