NDLI: Cognitive event-related potential waveform latency determination: Based on result of matching pursuit algorithm and Hilbert-Huang transform

Content Provider	IEEE Xplore Digital Library
Author	Rondik, T. Mautner, P.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Univ. of West Bohemia, Pilsen, Czech Republic (Rondik, T.; Mautner, P.)
Abstract	According to the statistics of car accident causes [11] given by Police of the Czech Republic, about 17.5 % of all car accidents are caused by lack of dedication to driving, including microsleep. A lot of car factories develop systems for fatigue prediction and microsleep detection. These systems are usually based on eye movement tracking or steering wheel movement analysis. But both these methods detect consequences of fatigue. From road safety point of view, it would be useful to be able to detect fatigue itself before it affects dedication to driving. We know there could be a correlation between cognitive event-related potential (ERP) waveform latency and the rate of attention - the longest the latency is, the more tired the measured subject is. This paper deals with determination of latency of a cognitive ERP waveform from outputs of two algorithms we use for its detection and which we have the best experience with.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	208
Ending Page	213
File Size	707740
Page Count	6
File Format	PDF
e-ISBN	9781479927616
DOI	10.1109/BMEI.2013.6746935
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	ERP car accident P300 Transforms Electroencephalography SA lack of dedication to driving HHT self-organizing map waveform latency electroencephalography matching purusit algorithm P3 simulated annealing Matching pursuit algorithms cognitive event-related potential EEG Educational institutions Fatigue Hilbert-Huang transform drivers attention SOM microsleep Approximation algorithms Accidents
Content Type	Text
Resource Type	Article

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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
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