Tuomas Alakörkkö (Aalto)
Monday 2016-10-17 11.00 – 12.00
Lecture hall AS3, TUAS building
Monitoring daily behavioural patterns using mobile phone sensors and ballistocardiography for detection of mental health changes
Increasing number of mental health problems in population have created a need for developing new patient monitoring methods for mental health care. Use of different type of sensors could automatize the monitoring which could help to provide mental health services for all in need with the limited resources. In these days, commonly used mobile phones have sensors which can be used to collect data related to human behaviour unobtrusively. These sensors can measure for example acceleration, ambient noise levels, brightness and usage of a mobile phone. Also, a ballistocardiographic sensor can be used to obtain information about rest which is known to be a factor in mental health.
A pilot study was conducted where mobile phone sensors and ballistocardiographic sensor were used to measure sixteen subjects for six weeks. Subjects also filled daily questionnaires related to mental health and sleep and wore an actigraph for two weeks which were used as a comparison for the passively collected data. This thesis presents and and evaluates methods for the analysis of the sensor data. These methods could be used in future studies to detect differences between mental health patients and normal population and to search for markers of mental health problems.