Adaptive Normalization and Feature Extraction for Electrodermal Activity Analysis

Electrodermal Activity (EDA) has shown great potential for emotion recognition and the early detection of physiological anomalies associated with stress. However, its non-stationary nature limits the capability of current analytical and detection techniques, which are highly dependent on signal stab...

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Auteurs principaux:	Miguel Viana-Matesanz, Carmen Sánchez-Ávila
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2024-01-01
Collection:	Mathematics
Sujets:	electrodermal activity normalization stochastic biosignals stress feature extraction
Accès en ligne:	https://www.mdpi.com/2227-7390/12/2/202
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