O
Oliver Carr
Researcher at University of Oxford
Publications - 10
Citations - 243
Oliver Carr is an academic researcher from University of Oxford. The author has contributed to research in topics: Bipolar disorder & Borderline personality disorder. The author has an hindex of 6, co-authored 10 publications receiving 188 citations.
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Proceedings ArticleDOI
Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ECG
TL;DR: This study classify short segments of ECG into four classes (AF, normal, other rhythms or noise) as part of the Physionet/Computing in Cardiology Challenge 2017 and compares a state-of-the-art feature-based classifier with a convolutional neural network approach.
Journal ArticleDOI
Variability in phase and amplitude of diurnal rhythms is related to variation of mood in bipolar and borderline personality disorder
Oliver Carr,Kate E. A. Saunders,Kate E. A. Saunders,Athanasios Tsanas,Athanasios Tsanas,Amy C. Bilderbeck,Niclas Palmius,John R. Geddes,John R. Geddes,Russell G. Foster,Guy M. Goodwin,Guy M. Goodwin,M. De Vos +12 more
TL;DR: BPD is linked more than currently believed with a disorder of diurnal rhythm; in both BPD and BD reducing the variability of sleep phase may be a way to reduce variability of subjective mood.
Journal ArticleDOI
Heart rate variability in bipolar disorder and borderline personality disorder: a clinical review
TL;DR: This work assesses studies of HRV in bipolar disorder and borderline personality disorder against a checklist and discusses the implication for ongoing research in this area.
Journal ArticleDOI
Desynchronization of diurnal rhythms in bipolar disorder and borderline personality disorder
Oliver Carr,Kate E. A. Saunders,Kate E. A. Saunders,Amy C. Bilderbeck,Amy C. Bilderbeck,Athanasios Tsanas,Athanasios Tsanas,Niclas Palmius,John R. Geddes,Russell G. Foster,Maarten De Vos,Guy M. Goodwin +11 more
TL;DR: The findings highlight marked de-synchronisation of measured diurnal function in both bipolar disorder but particularly BPD and suggest an increased association with negative and irritable mood at ultradian frequencies.
Journal ArticleDOI
Group-Personalized Regression Models for Predicting Mental Health Scores From Objective Mobile Phone Data Streams: Observational Study.
TL;DR: A new model using a Dirichlet process prior for splitting individuals into groups, with a Bayesian Lasso model in each group to link behavioral features with mental illness is developed.