Time frequency analysis of biological signals during sleep

Author

Tohara, T. ; Katayama, M. ; Takajyo, A. ; Inoue, K. ; Shirakawa, S. ; Kitado, M. ; Takahashi, T. ; Nishimura, Y.

Author_Institution

Kyushu Inst. of Technol., Kitakyushu

fYear

2007

fDate

17-20 Sept. 2007

Firstpage

1925

Lastpage

1929

Abstract

We have developed a relevance between sleep stage (Stage MT, W, 1, 2, 3, 4, REM) and rhythm of autonomic nerve activity computed by frequency analysis of heartbeat interval. Heartbeat during sleep was changed by sleep state. Extraction of relationships between sleep stage and heartbeat interval from signal of pressure sensor located in bed is goal. Then, we tried to apply continuous wavelet analysis to ECG in order to extract more precise information for the relationships. Moreover, we applied wavelet transform of impulse as mother wavelet that is impulse response of signal of pressure sensor on one heartbeat. In this paper we had six all-night sleep experiments, and compared result each subjects. As a result, we were able to estimate sleep state freely from sensor of pressure signal.

Keywords

electrocardiography; medical signal processing; neurophysiology; pressure sensors; sleep; time-frequency analysis; wavelet transforms; ECG; all-night sleep experiments; autonomic nerve activity; biological signals; continuous wavelet analysis; heartbeat interval; pressure sensor signal; relationship extraction; sleep stage; time frequency analysis; Biology computing; Continuous wavelet transforms; Data mining; Electrocardiography; Heart beat; Information analysis; Rhythm; Sleep; Time frequency analysis; Wavelet analysis; Wavelet analysis; feature extraction; impulse response; signal of pressure sensor; sleep stage;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE, 2007 Annual Conference

Conference_Location

Takamatsu

Print_ISBN

978-4-907764-27-2

Electronic_ISBN

978-4-907764-27-2

Type

conf

DOI

10.1109/SICE.2007.4421301

Filename

4421301