Szakonyi Benedek and Vassányi István and Schumacher Edit and Kósa István:
Efficient methods for acute stress detection using heart rate variability data from Ambient Assisted Living sensors.
BIOMEDICAL ENGINEERING ONLINE, 20 (1).
ISSN 1475-925X
(2021)
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| Item Type: | Journal Article | ||||
| Journal or Publication Title: | BIOMEDICAL ENGINEERING ONLINE | ||||
| Date: | 2021 | ||||
| Volume: | 20 | ||||
| Number: | 1 | ||||
| Number of Pages: | 19 | ||||
| Publication identifier: | 73 | ||||
| ISSN: | 1475-925X | ||||
| Faculty/Unit: | Albert Szent-Györgyi Medical School | ||||
| Institution: | University of Szeged (2000-) | ||||
| Language: | English | ||||
| MTMT rekordazonosító: | 32128153 | ||||
| DOI azonosító: | https://doi.org/10.1186/s12938-021-00911-6 | ||||
| Date Deposited: | 2022. Oct. 24. 08:17 | ||||
| Last Modified: | 2022. Oct. 24. 08:17 | ||||
| URI: | http://publicatio.bibl.u-szeged.hu/id/eprint/25363 |
| Web of Science® Times Cited: 19 | View citing articles in Web of Science® |
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