Mobile eHealth Platform for Home Monitoring of Bipolar Disorder

Joan Codina-Filbà*, Sergio Escalera, Joan Escudero, Coen Antens, Pau Buch-Cardona, Mireia Farrús

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)

Abstract

People suffering Bipolar Disorder (BD) experiment changes in mood status having depressive or manic episodes with normal periods in the middle. BD is a chronic disease with a high level of non-adherence to medication that needs a continuous monitoring of patients to detect when they relapse in an episode, so that physicians can take care of them. Here we present MoodRecord, an easy-to-use, non-intrusive, multilingual, robust and scalable platform suitable for home monitoring patients with BD, that allows physicians and relatives to track the patient state and get alarms when abnormalities occur. MoodRecord takes advantage of the capabilities of smartphones as a communication and recording device to do a continuous monitoring of patients. It automatically records user activity, and asks the user to answer some questions or to record himself in video, according to a predefined plan designed by physicians. The video is analysed, recognising the mood status from images and bipolar assessment scores are extracted from speech parameters. The data obtained from the different sources are merged periodically to observe if a relapse may start and if so, raise the corresponding alarm. The application got a positive evaluation in a pilot with users from three different countries. During the pilot, the predictions of the voice and image modules showed a coherent correlation with the diagnosis performed by clinicians.

OriginalsprogEngelsk
TitelMultiMedia Modeling - 27th International Conference, MMM 2021, Proceedings
RedaktørerJakub Lokoc, Tomáš Skopal, Klaus Schoeffmann, Vasileios Mezaris, Xirong Li, Stefanos Vrochidis, Ioannis Patras
Antal sider12
ForlagSpringer
Publikationsdato2021
Sider330-341
ISBN (Trykt)9783030678340
DOI
StatusUdgivet - 2021
Udgivet eksterntJa
Begivenhed27th International Conference on MultiMedia Modeling, MMM 2021 - Prague, Tjekkiet
Varighed: 22 jun. 202124 jun. 2021

Konference

Konference27th International Conference on MultiMedia Modeling, MMM 2021
Land/OmrådeTjekkiet
ByPrague
Periode22/06/202124/06/2021
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind12573 LNCS
ISSN0302-9743

Bibliografisk note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

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