Weighted-permutation entropy as complexity measure for electroencephalographic time series of different physiological states
An electroencephalographic (EEG) waveform could be denoted by a series of ordinal patterns called motifs which are based on the ranking values of subsequence time series. Permutation entropy (PE) has been developed to describe the relative occurrence of each of these motifs. However, PE has few limi...
| Main Authors: | Vuong, P.L., Malik, A.S., Bornot, J. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31784 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925590268&doi=10.1109%2fIECBES.2014.7047658&partnerID=40&md5=f0ede1c0963fde3a5695d1ddf9ff2557 http://eprints.utp.edu.my/31784/ |
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