Your browser doesn't support javascript.
loading
Comparison of digital filter and wavelet transform for extracting electroencephalogram rhythm / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 743-747, 2009.
Article in Chinese | WPRIM | ID: wpr-294579
ABSTRACT
It is very important to extract electroencephalogram (EEG) rhythm in clinical diagnoses. Digital filter and wavelet transform are used to extract the rhythm from a piece of EEG at the sampling rate of 2 kHz. The Daubechies order 4 wavelet (db4) was used to decompose the EEG at 8 levels. According to the filter characteristic of wavelet decomposition, the reconstructions of aS, d8, d7, d6 and d5 component are nearly corresponding to the rhythms of delta, theta, alpha, gamma separately. The 6 order ellipse infinite impulse response (IIR) filter is also used to decompose the EEG. As the quality factor of wavelet decomposition filter is constant, the wavelet transform obtains better extracted rhythm than the digital filter. Furthermore, the wavelet transform method can be used to extract the low frequency rhythm from wide frequency band.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Physiology / Algorithms / Signal Processing, Computer-Assisted / Brain / Artifacts / Electroencephalography / Methods Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2009 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Main subject: Physiology / Algorithms / Signal Processing, Computer-Assisted / Brain / Artifacts / Electroencephalography / Methods Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2009 Type: Article