Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Multiscale characteristics of human sleep EEG time seriesopen access
- Authors
- Song, In-Ho; Kim, In-Young; Lee, Doo-Soo; Kim, Sun I.
- Issue Date
- May-2006
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS, v.3991, pp.164 - 171
- Indexed
- SCIE
SCOPUS
- Journal Title
- COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS
- Volume
- 3991
- Start Page
- 164
- End Page
- 171
- ISSN
- 0302-9743
- Abstract
- We investigated the complexity of fluctuations in human sleep electroencephalograms (EEGs) by multifractals. We used human sleep EEG time series taken from normal, healthy subjects during the four stages of sleep and rapid eye movement (REM) sleep. Our findings showed that the fluctuation dynamics in human sleep EEGs could be adequately described by a set of scales and characterized by multifractals. Multifractal formalism, based on the wavelet transform modulus maxima, appears to be a good method for characterizing EEG dynamics.
- Appears in
Collections - 서울 의과대학 > 서울 의공학교실 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Kim, In Young
- COLLEGE OF MEDICINE (DEPARTMENT OF BIOMEDICAL ENGINEERING)