Efficient methods for acute stress detection using heart rate variability data from Ambient Assisted Living sensors

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: Szegedi Tudományegyetem
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: 14 View citing articles in Web of Science®

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