A knowledge discovery methodology from EEG data for cyclic alternating pattern detection

A knowledge discovery methodology from EEG data for cyclic alternating pattern detection

Abstract Background Detection and quantification of cyclic alternating patterns (CAP) components has the potential to serve as a disease bio-marker. Few methods exist to discriminate all the different CAP components, they do not present appropriate sensitivities, and often they are evaluated based o...

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Bibliographic Details
Main Authors: Fátima Machado, Francisco Sales, Clara Santos, António Dourado, C. A. Teixeira
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BioMedical Engineering OnLine
Subjects:
Cyclic alternating pattern
A-phase detection
EEG processing
Knowledge discovery in data
Online Access:http://link.springer.com/article/10.1186/s12938-018-0616-z

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