M-Psychiatry: Sensor Networks for Psychiatric Health Monitoring

Abstract

Abstract—Long-term monitoring of patients with affective disorders has been shown to reduce certain types of episodes and improve social functioning. However, most of the research to date has been based on patient-reported data, which exhibits certain deficiencies including failure to detect depressive aspects of the illness. Questions have also been raised about the accuracy and completeness of patient-reported data. Enhancing patient-reported data with environmental and physiological recordings could improve the accuracy and completeness that current solutions are missing. This paper describes procedures for the fusion of patient-reported data with remotely-sensed patient-centred data collected using small wireless devices placed on patients and in their homes. I.