Stochastic complexity measures for physiological signal analysis.
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-...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
IEEE
1998
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