Information Technology Reference
In-Depth Information
Chapter 4
Blind Source Separation of Concurrent
Disease-Related Patterns from EEG in
Creutzfeldt-Jakob Disease for Assisting Early
Diagnosis
Chih-I Hung, Po-Shan Wang, Bing-Wen Soong, Shin Teng, Jen-Chuen Hsieh,
and Yu-Te Wu
Abstract
Creutzfeldt-Jakob disease (CJD) is a rare, transmissible, and fatal prion
disorder of brain. Typical electroencephalography (EEG) patterns, such as the peri-
odic sharp wave complexes (PSWCs), do not clearly emerge until the middle stage
of CJD. To reduce transmission risks and avoid unnecessary treatments, the recog-
nition of the hidden PSWCs' forerunners from the contaminated EEG signals in
the early stage is imperative. In this study, independent component analysis (ICA)
was employed on the raw EEG signals recorded at the first admissions of five pa-
tients to segregate the co-occurrence of multiple disease-related features, which
