Methods Inf Med - Point-process nonlinear autonomic assessment of depressive states in bipolar patients.

Tópicos

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Resumo

TRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on "Biosignal Interpretation: Advanced Methods for Studying Cardiovascular and Respiratory Systems".OBJECTIVES: The goal of this work is to apply a computational methodology able to characterize mood states in bipolar patients through instantaneous analysis of heartbeat dynamics.METHODS: A Point-Process-based Nonlinear Autoregressive Integrative (NARI) model is applied to analyze data collected from five bipolar patients (two males and three females, age 42.4 ? 10.5 range 32-56) undergoing a dedicated affective elicitation protocol using images from the International Affective Picture System (IAPS) and Thematic Apperception Test (TAT). The study was designed within the European project PSYCHE (Personalised monitoring SYstems for Care in mental HEalth).RESULTS: RESULTS demonstrate that the inclusion of instantaneous higher order spectral (HOS) features estimated from the NARI nonlinear assessment significantly improves the accuracy in successfully recognizing specific mood states such as euthymia and depression with respect to results using only linear indices. In particular, a specificity of 74.44% using the instantaneous linear features set, and 99.56% using also the nonlinear feature set were achieved. Moreover, IAPS emotional elicitation resulted in a more discriminant procedure with respect to the TAT elicitation protocol.CONCLUSIONS: A significant pattern of instantaneous heartbeat features was found in depressive and euthymic states despite the inter-subject variability. The presented point-process Heart Rate Variability (HRV) nonlinear methodology provides a promising application in the field of mood assessment in bipolar patients.

Resumo Limpo

troduct articl part focus theme method inform medicin biosign interpret advanc method studi cardiovascular respiratori systemsobject goal work appli comput methodolog abl character mood state bipolar patient instantan analysi heartbeat dynamicsmethod pointprocessbas nonlinear autoregress integr nari model appli analyz data collect five bipolar patient two male three femal age rang undergo dedic affect elicit protocol use imag intern affect pictur system iap themat appercept test tat studi design within european project psych personalis monitor system care mental healthresult result demonstr inclus instantan higher order spectral hos featur estim nari nonlinear assess signific improv accuraci success recogn specif mood state euthymia depress respect result use linear indic particular specif use instantan linear featur set use also nonlinear featur set achiev moreov iap emot elicit result discrimin procedur respect tat elicit protocolconclus signific pattern instantan heartbeat featur found depress euthym state despit intersubject variabl present pointprocess heart rate variabl hrv nonlinear methodolog provid promis applic field mood assess bipolar patient

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