Fuzzy systems to process ECG and EEG signals for quantification of the mental workload

DOI10.1016/S0020-0255(02)00155-XzbMath1010.93525OpenAlexW2086090813MaRDI QIDQ1857054

Yanyan Li

Publication date: 11 February 2003

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-0255(02)00155-x

zbMATH Keywords

fuzzy systemECG signalEEG signalGaussian smoothingmental workload

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Unnamed Item
• A curve smoothing method by using fuzzy sets
• A practical algorithm for representing polynomials of two variables by fuzzy systems with accuracy O\((h^4)\)

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