| Summary: | 碩士 === 國立交通大學 === 控制工程系 === 85 === Bispectral Analysis for Characterizing Signals with Complicated
Spectral FeaturesStudent:Yi-Shao Liu
Advisor:Pei-chen Lo Institute of Control
Engineering National Chiao Tung University
Abstract Conventional Fourier Transformation(FT) analysis is
widely used in the areaof analyzing stationary signals. Demands
can not be satisfied by only FT analysis since the EUS-EMG
(External Urethral Sphincter Electromyography) andEEG
(Electroencephalography) analyzed in this thesis are with
complicatedspectral features. Bispectral analysis is then used
to characterize complicated spectral properties in the bio-
medical signals. In this thesis, the EUS-EMG signals were
analyezd first by FT analysis and,then by bispectral and cross-
bispectral analysis in order to remedy the phase-blind property
of FT analysis. Furthermore, we investigate the
correlationsbetween EUS-EMG signals under different activities.
Secondly, EEG signals were analyzed by bispectral and cross-
bispectralanalysis. The QPC features of EEG signals under
different physiological stateswere characterized by the
bispectral analysis. The spatial correlation of brain
electrical activities were explored by cross-bispectral
analysis. The results of this thesis depict the superiosity of
bispectral and cross-bispectral analysis over conventional FT
analysis. For further researches,more parameters can be derived
from the bispectrum to extend its applicationsin biomedical
signal processing area.
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