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| Language | English |
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Advances in Processing and Pattern Analysis of Biological Signals by I Gath
In recent years there has been rapid progress in the development of signal processing in general, and more specifically in the application of signal processing and pattern analysis to biological signals. Techniques, such as parametric and nonparametric spectral estimation, higher order spectral estimation, time-frequency methods, wavelet transform, and identifi- cation of nonlinear systems using chaos theory, have been successfully used to elucidate basic mechanisms of physiological and mental processes. Similarly, biological signals recorded during daily medical practice for clinical diagnostic procedures, such as electroen- cephalograms (EG), evoked potentials (EP), electromyograms (EMG) and electrocardio- grams (ECG), have greatly benefitted from advances in signal processing. In order to update researchers, graduate students, and clinicians, on the latest developments in the field, an International Symposium on Processing and Pattern Analysis of Biological Signals was held at the Technion-Israel Institute of Technology, during March 1995. This book contains 27 papers delivered during the symposium. The book follows the five sessions of the symposium. The first section, Processing and Pattern Analysis of Normal and Pathological EG, accounts for some of the latest developments in the area of EG processing, namely: time varying parametric modeling; non-linear dynamic modeling of the EG using chaos theory; Markov analysis; delay estimation using adaptive least-squares filtering; and applications to the analysis of epileptic EG, EG recorded from psychiatric patients, and sleep EG.| ISBN 13 | 9780306452154 |
|---|---|
| ISBN 10 | 0306452154 |
| Author | I Gath |
| Series | Language Of Science Ser |
| Condition | New |
| Binding Type | Hardback |
| Publisher | Springer |
| Year published | 1996-07-31 |
| Number of pages | 424 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
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