|Topic:||Bipolar patients analysis|
|Supervisor:||Doc. Ing. Daniel Novák Ph.D.|
|Examiner:||MUDr. Filip Spaniel|
|Description:||Bipolar disorder, also known as manic-depressive illness, is a brain disorder that causes unusual shifts in a person's mood, energy, and ability to function. Different from the normal ups and downs that everyone goes through, the symptoms of bipolar disorder are severe. They can result in damaged relationships, poor job or school performance, and even suicide. About 5.7 million American adults or about 2.6 percent of the population age 18 and older in any given year, have bipolar disorder. Bipolar disorder typically develops in late adolescence or early adulthood.
The aim of the project is analysis of bipolar patient’s movement activity. The movement activity is being measured by one-dimensional acceleration sensor ( - Actiwatch). Furthermore, each week a simple SMS questionnaire is send. The analysis consists of digital signal processing of measured movements and integration of the acquired results with SMS information.
The example of feature extraction is here:
|Instruction:||1) Study state of art of bipolar disease
2) Design method for bipolar relapse prediction
3) Integrate the suggested method to ITAREPSsystem.
|Bibliography:|| Jones SH, Hare DJ, Evershed K.,Actigraphic assessment of circadian activity and sleep patterns in bipolar disorder, Bipolar Disord. 2005 Apr;7(2):176-86. Scarna A, Seml
 Michael Bauer, Paul Grof, Temporal relation between sleep and mood in patients with bipolar disorder, Bipolar Disorders 2006: 8: 160–167