title: Gender-specific velocity recognition of caress-like stimuli through nonlinear analysis of Heart Rate Variability.
abstract: This study reports on the development of a gender-specific classification system able to discern between two levels of velocity of a caress-like stimulus, through information gathered from Autonomic Nervous System (ANS) linear and nonlinear dynamics. Specifically, caress-like stimuli were administered to 32 healthy volunteers (16 males) while monitoring electrocardiogram signal to extract Heart Rate Variability (HRV) series. Caressing stimuli were administered to the forearm at a fixed force level (6 N) and two levels of velocity, 9.4 mm/s and 37 mm/s. Standard HRV measures, defined in the time and frequency domain, as well as HRV nonlinear measures were extracted during the pre- and post-stimulus sessions, and given as an input to a Support Vector Machine (SVM) classifier implementing a leave-one-subject-out procedure. Results show an accuracy of velocity recognition of 70% for the men, and 84.38% for the women, when both standard and nonlinear HRV measures were taken into account. Conversely, non-significant results were achieved considering standard measures only, or a gender-aspecific classification. We can conclude that caress-like stimuli elicitation significantly affect HRV nonlinear dynamics with a highly specific gender dependency.
authors.forename: Mimma
authors.initials: M
authors.lastname: Nardelli
authors.forename: Gaetano
authors.initials: G
authors.lastname: Valenza
authors.forename: Matteo
authors.initials: M
authors.lastname: Bianchi
authors.forename: Alberto
authors.initials: A
authors.lastname: Greco
authors.forename: Antonio
authors.initials: A
authors.lastname: Lanata
authors.forename: Antonio
authors.initials: A
authors.lastname: Bicchi
authors.forename: Enzo Pasquale
authors.initials: EP
authors.lastname: Scilingo
mesh_terms: D000328:Adult; D019540:Area Under Curve; D004562:Electrocardiography; D005260:Female; D064368:Healthy Volunteers; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D017711:Nonlinear Dynamics; D012372:ROC Curve; D012727:Sex Characteristics; D012815:Signal Processing, Computer-Assisted; D060388:Support Vector Machine