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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Amor, J.D. James, C.J. |
| Copyright Year | 2010 |
| Description | Author affiliation: Signal Processing and Control Group, ISVR, University of Southampton, Hampshire, UK (Amor, J.D.) || Institute of Digital Healthcare, WMG, University of Warwick, Coventry, Warwickshire, UK (James, C.J.) |
| Abstract | Bipolar disorder (BD) is a serious psychiatric condition that affects a large number of people. Many people with BD self-monitor their condition in order to try and keep the disturbances from affective episodes to a minimum. The Personalized Ambient Monitoring (PAM) project has developed a system that performs behavioral monitoring in an unobtrusive manner and can detect changes in a person's behavior. The system uses a variety of discreet sensors to gather data on the parson's behavior and this data is processed to extract behavioral patterns and detect changes in those patterns. In this paper we present one method of data processing that takes 24hr long data-streams from the sensors, pre-processes them and uses the Continuous Profile Model to align and extract the underlying patterns from the data-streams. We present some preliminary results from a technical trial. |
| Starting Page | 5193 |
| Ending Page | 5196 |
| File Size | 396952 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441235 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2010.5626102 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-31 |
| Publisher Place | Argentina |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Hidden Markov models Sensor systems Cameras Monitoring Data analysis Image segmentation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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