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Medical & Biological Engineering & Computing
Published in: Medical & Biological Engineering & Computing 5/2020

11-03-2020 | Original Article

Quantifying the lagged Poincaré plot geometry of ultrashort heart rate variability series: automatic recognition of odor hedonic tone

Authors: M. Nardelli, G. Valenza, A. Greco, A. Lanatá, E. P. Scilingo, R. Bailón

Published in: Medical & Biological Engineering & Computing | Issue 5/2020

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Abstract

The application of Poincaré plot analysis to characterize inter-beat interval dynamics has been successfully proposed in the scientific literature for the assessment of humans’ physiological states and related aberrations. In this study, we proposed novel descriptors to trace the evolution of Poincaré plot shape over the lags. Their reliability in ultra-short cardiovascular series analysis was validated on synthetic inter-beat series generated through a physiologically plausible integral pulse frequency modulation model. Furthermore, we used the proposed approach for the investigation of the direct relationship between autonomic nervous system (ANS) dynamics and hedonic olfactory elicitation, in a group of 30 healthy subjects. Participants with a similar olfactory threshold were selected, and were asked to score 5-s stimuli in terms of arousal and valence levels according to the Russell’s circumflex model of affect. Their ANS response was investigated in 35-s windows after the elicitation. Experimental results showed a gender-specific, high discriminant power of the proposed approach, discerning between pleasant and unpleasant odorants with an accuracy of 83.33% and 73.33% for men and for women, respectively.
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Metadata
Title
Quantifying the lagged Poincaré plot geometry of ultrashort heart rate variability series: automatic recognition of odor hedonic tone
Authors
M. Nardelli
G. Valenza
A. Greco
A. Lanatá
E. P. Scilingo
R. Bailón
Publication date
11-03-2020
Publisher
Springer Berlin Heidelberg
Published in
Medical & Biological Engineering & Computing / Issue 5/2020
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-019-02095-7

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