Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices

Results

Title:	Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices
Authors:	Iovino, Marta; Lazic, Ivan M; Loncar-Turukalo, Tatjana ; Javorka, Michal; Pernice, Riccardo; Faes, Luca
Issue Date:	2024
Publication:	PHYSIOLOGICAL MEASUREMENT
ISSN:	0967-3334 Physiological Measurement Search Idenfier
Type:	Article
Collation:	vol. 45 br. 11 str. 115004-115004
DOI:	10.1088/1361-6579/ad9234
WoS-ID:	001363822100001
Scopus-ID:	2-s2.0-85210322902
URI:	https://enauka.gov.rs/handle/123456789/951373
Project:	VEGA [PNC D.D. 931 06/06/2022, PNC0000002, CUP: B53C22006460001] MUR [2022YMHNPY, CUP B53D23003020006, PNRR-M4C2, ECS 00000022] PRIN 2022 - MUR [(POC) 2014/2020] European Social Fund (ESF) Complementary Operational Programme Sicily Region [451-03-65/2024-03/200156, 01-3394/1, VEGA 1/0283/21] Ministry of Science, Technological Development and Innovation
Metadata source:	(Preuzeto iz Nasi u WoS)
M-category:	21M21

8
SCOPUS^TM

6
WEB OF SCIENCE^TM

Altmetric

Dimensions

Unpaywall