Title :
Analysis of physiological time series using wavelet transforms
Author :
Figliola, Aleiandra ; Serrano, Eduardo
Author_Institution :
Inst. de Calculo, Ciudad Univ., Buenos Aires, Argentina
Abstract :
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
Keywords :
blood; electrocardiography; medical signal processing; oxygen; time series; volume measurement; wavelet transforms; ECG analysis; O2; blood oxygen saturation data; chest volume; heart rhythm; long-term behavior features; physiological time series analysis; sleep apnea patient; Discrete wavelet transforms; Frequency; Heart; Predictive models; Rhythm; Sleep apnea; Time series analysis; Topology; Wavelet analysis; Wavelet transforms;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
