NDLI: Complexity Measure Applied to the Analysis EEG Signals

Content Provider	IEEE Xplore Digital Library
Author	Li Yi Fan Yingle
Copyright Year	2005
Description	Author affiliation: Dept. of Instrument Sci. & Tech., Hangzhou Dianzi Univ. (Li Yi; Fan Yingle)
Abstract	Electroencephalograms (EEGs) reflect the electrical activity of the brain. The problem of analyzing and interpreting the meaning of these signals has received a great deal of attention. Since EEG signals may be considered chaotic, chaos theory may supply effective quantitative descriptors of EEG dynamics and of underlying chaos in the brain. The complexity of the chaotic system can be characterized by complexity measure computed from the signals generated by the system. The complexity measures include the algorithm complexity of Kolmogorov and $C_{1}/C_{2}$ complexity. This paper gives one new complexity definition of partition algorithm complexity. The experiments proved that the method can distinguish health from diseases. Complexity measure not only provides a new method to analyze EEG signal, but also advances a new idea for diagnosing mental diseases
Starting Page	4610
Ending Page	4613
File Size	215330
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1615497
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal analysis Electroencephalography Chaos Partitioning algorithms Diseases Neurons Instruments Character generation Signal generators Helium
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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