TY  - CONF
AU  - Joan Codina-Filba
AU  - Sergio Escalera
AU  - Joan Escudero
AU  - Coen Antens
AU  - Pau Buch-Cardona
AU  - Mireia Farrus
A2  - MMM
PY  - 2021//
TI  - Mobile eHealth Platform for Home Monitoring of Bipolar Disorder
T2  - LNCS
BT  - 27th ACM International Conference on Multimedia Modeling
SP  - 330
EP  - 341
VL  - 12573
N2  - 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.
UR  - https://link.springer.com/chapter/10.1007%2F978-3-030-67835-7_28
N1  - HUPBA; no proj
ID  - Joan Codina-Filba2021
ER  -