Stochastic complexity measures for physiological signal analysis.
basic_science · Level V
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- Record sourced from PubMed, PMID 9735569.
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Abstract
Traditional feature extraction methods describe signals in terms of amplitude and frequency. This paper takes a paradigm shift and investigates four stochastic-complexity features. Their advantages are demonstrated on synthetic and physiological signals; the latter recorded during periods of Cheyne-Stokes respiration, anesthesia, sleep, and motor-cortex investigation.
Medical subject headings
- Electroencephalography
- Signal Processing, Computer-Assisted