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• W2755126542 abstract "This paper reports on a novel method for the analysis of Heart Rate Variability (HRV) through Lagged Poincaré Plot (LPP) theory. Specifically a hybrid method, LPPsymb, including LPP quantifiers and related symbolic dynamics was proposed. LPP has been applied to investigate the autonomic response to pleasant and unpleasant pictures extracted from the International Affective Picture System (IAPS). IAPS pictures are standardized in terms of level of arousal, i.e. the intensity of the evoked emotion, and valence, i.e. the level of pleasantness/unpleasantness, according to the Circumplex model of Affects (CMA). Twenty-two healthy subjects were enrolled in the experiment, which comprised four sessions with increasing arousal level. Within each session valence increased from positive to negative. An ad-hoc pattern recognition algorithm using a Leave-One-Subject-Out (LOSO) procedure based on a Quadratic Discriminant Classifier (QDC) was implemented. Our pattern recognition system was able to classify pleasant and unpleasant sessions with an accuracy of 71.59%. Therefore, we can suggest the use of the LPPsymb for emotion recognition." @default.
• W2755126542 created "2017-09-25" @default.
• W2755126542 creator A5007174065 @default.
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• W2755126542 date "2017-07-01" @default.
• W2755126542 modified "2023-10-16" @default.
• W2755126542 title "A novel Heart Rate Variability analysis using Lagged Poincaré plot: A study on hedonic visual elicitation" @default.
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• W2755126542 doi "https://doi.org/10.1109/embc.2017.8037315" @default.
• W2755126542 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29060357" @default.
• W2755126542 hasPublicationYear "2017" @default.
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