Signal Analysis Techniques (Blinowska, K.J. and Zygierewicz, J.; 2012) [Book Review]

IEEE Pulse ◽  
2012 ◽  
Vol 3 (5) ◽  
pp. 60-60
Author(s):  
David Moratal
Keyword(s):  
Signal Analysis ◽  
Analysis Techniques

scholarly journals Evolution of Electroencephalogram Signal Analysis Techniques during Anesthesia

Sensors ◽  
2013 ◽  
Vol 13 (5) ◽  
pp. 6605-6635 ◽  
Author(s):  
Mahmoud Al-Kadi ◽  
Mamun Reaz ◽  
Mohd Ali
Keyword(s):  
Signal Analysis ◽  
Analysis Techniques

Signal Analysis Techniques for Interpreting Electroencephalograms

1980 ◽  
Author(s):  
Donald E. Gustafson ◽  
John S. Eterno ◽  
Wolfram Jarisch
Keyword(s):  
Signal Analysis ◽  
Analysis Techniques

Linear and Nonlinear Approaches to the Analysis of R-R Interval Variability

2004 ◽  
Vol 5 (3) ◽  
pp. 211-221 ◽  
Author(s):  
Autumn Schumacher
Keyword(s):  
Signal Analysis ◽  
Interval Data ◽  
Isolated Rat Heart ◽  
Physiological Signals ◽  
Physiological Data ◽  
Analysis Techniques ◽  
Physiological Signal ◽  
Quantification Analysis ◽  
Linear And Nonlinear ◽  
Signal Variability

Analysis techniques derived from linear and non-linear dynamics systems theory qualify and quantify physiological signal variability. Both clinicians and researchers use physiological signals in their scopes of practice. The clinician monitors patients with signal-analysis technology, and the researcher analyzes physiological data with signal-analysis techniques. Understanding the theoretical basis for analyzing physiological signals within one’s scope of practice ensures proper interpretation of the relationship between physiological function and signal variability. This article explains the concepts of linear and nonlinear signal analysis and illustrates these concepts with descriptions of power spectrum analysis and recurrence quantification analysis. This article also briefly describes the relevance of these 2 techniques to R-to-R wave interval (i.e., heart rate variability) signal analysis and demonstrates their application to R-to-R wave interval data obtained from an isolated rat heart model.

scholarly journals Signal analysis techniques for acoustic monitoring

1993 ◽  
Vol 93 (4) ◽  
pp. 2279-2279
Author(s):  
Pierre Y. Robin ◽  
Peeter M. Akerberg ◽  
Ben H. Jansen ◽  
Robert D. Finch
Keyword(s):  
Signal Analysis ◽  
Acoustic Monitoring ◽  
Analysis Techniques
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