DocumentCode
3684397
Title
Can home-monitoring of sleep predict depressive episodes in bipolar patients?
Author
M. Migliorini;S. Mariani;G. Bertschy;M. Kosel;A.M. Bianchi
Author_Institution
Politecnico di Milano, Dept. of Biomedical Engineering, P.zza Leonardo da Vinci 32, 20133, Milan, Italy
fYear
2015
Firstpage
2215
Lastpage
2218
Abstract
The aim of this study is the evaluation of the autonomic regulations during depressive stages in bipolar patients in order to test new quantitative and objective measures to detect such events. A sensorized T-shirt was used to record ECG signal and body movements during the night, from which HRV data and sleep macrostructure were estimated and analyzed. 9 out of 20 features extracted resulted to be significant (p<;0.05) in discriminating among depressive and non-depressive states. Such features are representation of HRV dynamics in both linear and non-linear domain and parameters linked to sleep modulations.
Keywords
"Heart rate variability","Feature extraction","Electrocardiography","Standards","Psychiatry","Frequency-domain analysis"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7318831
Filename
7318831
Link To Document