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
  • Yu-Te Wu
Part of the Springer Optimization and Its Applications book series (SOIA, volume 38)


Creutzfeldt–Jakob disease (CJD) is a rare, transmissible, and fatal prion disorder of brain. Typical electroencephalography (EEG) patterns, such as the periodic sharp wave complexes (PSWCs), do not clearly emerge until the middle stage of CJD. To reduce transmission risks and avoid unnecessary treatments, the recognition 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 patients to segregate the co-occurrence of multiple disease-related features, which were difficult to be detected from the smeared EEG. Clear CJD-related waveforms, i.e., frontal intermittent rhythmical delta activity (FIRDA), fore PSWCs (triphasic waves), and periodic lateralized epileptiform discharges (PLEDs), have been successfully and simultaneously resolved from all patients. The ICA results elucidate the concurrent appearance of FIRDA and PLEDs or triphasic waves within the same EEG epoch, which has not been reported in the previous literature. Results show that ICA is an objective and effective means to extract the disease-related patterns for facilitating the early diagnosis of CJD.


Independent Component Analysis Independent Component Analysis Temporal Waveform Triphasic Wave Unmixing Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The study was funded by the Taipei Veterans General Hospital (V96 ER1-005) and National Science Council (NSC 96-2221-E-010-003-MY3, NSC 97-2752-B-075-001-PAE, NSC 97-2752-B-010-003-PAE).


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© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of Biomedical Imaging and Radiological SciencesNational Yang-Ming UniversityTaipeiRepublic of China
  2. 2.Integrated Brain Research Laboratory, Department of Medical Research and EducationVeterans General HospitalTaipeiRepublic of China
  3. 3.The Neurological Institute, Taipei Municipal Gan-Dau HospitalTaipeiRepublic of China
  4. 4.Department of NeurologyNational Yang-Ming University School of MedicineTaipeiRepublic of China
  5. 5.The Neurological Institute, Taipei Veterans General HospitalTaipeiRepublic of China
  6. 6.Institute of Brain Science, National Yang-Ming UniversityTaipeiRepublic of China

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