Stochastic complexity measures for physiological signal analysis |
| |
Authors: | IA Rezek SJ Roberts |
| |
Affiliation: | Department of Electrical and Electronic Engineering, Imperial College of Science, Technology, and Medicine, London, U.K. i.rezek@ic.ac.uk |
| |
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. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|