relation: http://eprints.imtlucca.it/3601/
title: Longitudinal monitoring of heartbeat dynamics predicts mood changes in bipolar patients: A pilot study
creator: Gentili, Claudio
creator: Valenza, Gaetano
creator: Nardelli, Mimma
creator: Lanatà, Antonio
creator: Bertschy, Gilles
creator: Weiner, Luisa
creator: Mauri, Mauro
creator: Scilingo, Enzo Pasquale
creator: Pietrini, Pietro
subject: RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
description: Objectives    Recent research indicates that Heart Rate Variability (HRV) is affected in Bipolar Disorders (BD) patients. To determine whether such alterations are a mere expression of the current mood state or rather contain longitudinal information on BD course, we examined the potential influence of states adjacent in time upon HRV features measured in a target mood state.    Methods    Longitudinal evaluation of HRV was obtained in eight BD patients by using a wearable monitoring system developed within the PSYCHE project. We extracted time-domain, frequency-domain and non-linear HRV-features and trained a Support Vector Machine (SVM) to classify HRV-features according to mood state. To evaluate the influence of adjacent mood states, we trained SVM with different HRV-feature sets: 1) belonging to each mood state considered alone; 2) belonging to each mood state and normalized using information from the preceding mood state; 3) belonging to each mood state and normalized using information from the preceding and subsequent mood states; 4) belonging to each mood state and normalized using information from two randomly chosen states.    Results    SVM classification accuracy within a target state was significantly greater when HRV-features from the previous and subsequent mood states were considered.
publisher: Elsevier
date: 2017
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/3601/1/Gentili_et_al_JAD_2016.pdf
identifier:   Gentili, Claudio and Valenza, Gaetano and Nardelli, Mimma and Lanatà, Antonio and Bertschy, Gilles and Weiner, Luisa and Mauri, Mauro and Scilingo, Enzo Pasquale and Pietrini, Pietro  Longitudinal monitoring of heartbeat dynamics predicts mood changes in bipolar patients: A pilot study.  Journal of Affective Disorders, 209.  pp. 30-38.  ISSN 01650327      (2017)  
relation: http://doi.org/10.1016/j.jad.2016.11.008
relation: doi:10.1016/j.jad.2016.11.008