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Analysis of physiological time series using wavelet transforms

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2 Author(s)
Figliola, A. ; Inst. de Calculo, Ciudad Univ., Buenos Aires, Argentina ; Serrano, E.

Time-series analysis is the basis for characterization and modeling of an observed system. The aim of this analysis is the prediction of the short-term evolution of a dynamic system and the development of a model that captures features of its long-term behavior. Here, the authors present a a method of time-series analysis that uses wavelet transforms to analyze heart rhythm, chest volume, and blood oxygen saturation data from a patient suffering from sleep apnea

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:16 ,  Issue: 3 )

Date of Publication:

May/Jun 1997

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