Paper Info
Title
A regression approach based on separability maximization for modeling a continuous-valued stress index from electrocardiogram data.
Abstract
•A regression approach based on separability maximization (RASMa) is proposed.•RASMa combines linear discriminant analysis (LDA) with the Bhattacharyya distance.•RASMa was employed to model a continuous-valued stress index in individuals.•Heart rate variability (HRV) features were used in the stress index model.•A pilot study with 26 subjects was conducted with promising results.
Year
DOI
Venue
2018
10.1016/j.bspc.2018.06.006
Biomedical Signal Processing and Control
Keywords
Field
DocType
Stress index,Electrocardiogram,Heart rate variability,Linear discriminant analysis,Bhattacharyya distance,Regression
Linear combination,Bhattacharyya distance,Pattern recognition,Regression,Heart rate variability,Proof of concept,Artificial intelligence,Regression problems,Linear discriminant analysis,Mathematics,Maximization
Journal
Volume
ISSN
Citations 
46
1746-8094
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Rui Teixeira Ribeiro100.34
Silva Cunha, J.P.25918.44