Research Article
User-Oriented Interface for Monitoring Affective Diseases in Patients with Bipolar Disorder Using Mobile Devices
@INPROCEEDINGS{10.1007/978-3-030-49289-2_6, author={Salvador Prefasi-Gomar and Teresa Magal-Royo and Elisa Gallach-Solano and Pilar Sierra San Miguel and Humberto Echevarria Mateu and Nieves Mart\^{\i}nez-Alzamora}, title={User-Oriented Interface for Monitoring Affective Diseases in Patients with Bipolar Disorder Using Mobile Devices}, proceedings={Wireless Mobile Communication and Healthcare. 8th EAI International Conference, MobiHealth 2019, Dublin, Ireland, November 14-15, 2019, Proceedings}, proceedings_a={MOBIHEALTH}, year={2020}, month={6}, keywords={Mental health Bipolar disorder mHealth Relapse prevention Affective diseases User experience}, doi={10.1007/978-3-030-49289-2_6} }
- Salvador Prefasi-Gomar
Teresa Magal-Royo
Elisa Gallach-Solano
Pilar Sierra San Miguel
Humberto Echevarria Mateu
Nieves Martínez-Alzamora
Year: 2020
User-Oriented Interface for Monitoring Affective Diseases in Patients with Bipolar Disorder Using Mobile Devices
MOBIHEALTH
Springer
DOI: 10.1007/978-3-030-49289-2_6
Abstract
Nowadays the design of interfaces on mobile devices in the field of mental health is being studied to be applied in the functional criteria related to usability and user experience (UX). This article presents a methodological and conceptual development of an innovative telematics application oriented to control and management relapse prevention in bipolar disorder patients created by the Psychiatry and Clinical Psychology Unit of La Fe Hospital and the Polytechnic University of Valencia. Application called e-therapy aims to control affective diseases in bipolar disorder through the use of computer-assisted tests related to depression and mania among others. Its development and design took into account aspects of functionality and visual usability aimed at people with affective diseases related to mental health. Therapists, psychologists and doctors can monitor and verify patient’s mood in real time as well as detect changes in their vital and affective trajectory that allows early intervention and relapse prevention.