Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder

Abstract

<jats:p>Internet- and mobile-based approaches have become increasingly significant to psychological research in the field of bipolar disorders. While research suggests that emotional aspects of bipolar disorders are substantially related to the social and global functioning or the suicidality of patients, these aspects have so far not sufficiently been considered within the context of mobile-based disease management approaches. As a multiprofessional research team, we have developed a new and emotion-sensitive assistance system, which we have adapted to the needs of patients with bipolar disorder. Next to the analysis of self-assessments, third-party assessments, and sensor data, the new assistance system analyzes audio and video data of these patients regarding their emotional content or the presence of emotional cues. In this viewpoint, we describe the theoretical and technological basis of our emotion-sensitive approach and do not present empirical data or a proof of concept. To our knowledge, the new assistance system incorporates the first mobile-based approach to analyze emotional expressions of patients with bipolar disorder. As a next step, the validity and feasibility of our emotion-sensitive approach must be evaluated. In the future, it might benefit diagnostic, prognostic, or even therapeutic purposes and complement existing systems with the help of new and intuitive interaction models.</jats:p>

Research and Diagnostics for the Laboratory of Pressure Resistant Sensors

“…As such, the sensor changes values by applying pressure to its measuring part, and with its simple connection, it is possible to measure its output resistance on a multimeter. As part of our research and development, we will use this sensor with a special encapsulation and connection directly via converters to a computer in real time and from recording also [Daus 2020].…”