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Proceedings Paper

Calculating rhythmicity of infant breathing using wavelets
Author(s): Katherine E. Macey; Wyatt H. Page; Ronald M. Harper; Paul M. Macey; Rodney P. K. Ford
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Paper Abstract

Breathing signals are one set of physiological data that may provide information regarding the mechanisms that cause SIDS. Isolated breathing pauses have been implicated in fatal events. Other features of interest include slow amplitude modulation of the breathing signal, a phenomenon whose origin is unclear, and periodic breathing. The latter describes a repetitive series of apnea, and may be considered an extreme manifestation of amplitude modulation with successive cessations of breathing. Rhythmicity is defined to assess the impact of amplitude modulation on breathing signals and describes the extent to which frequency components remain constant for the duration of the signal. The wavelet transform was used to identify sections of constant frequency components within signals. Rhythmicity can be evaluated for all the frequency components in a signal, for individual frequencies. The rhythmicity of eight breathing epochs from sleeping infants at high and low risk for SIDS was calculated. Initial results show breathing from infants at high risk for SIDS exhibits greater rhythmicity of modulating frequencies than breathing from low risk infants.

Paper Details

Date Published: 4 December 2000
PDF: 9 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408586
Show Author Affiliations
Katherine E. Macey, Univ. of Canterbury and Univ. of California/Los Angeles (United States)
Wyatt H. Page, The Open Group (New Zealand)
Ronald M. Harper, Univ. of California/Los Angeles (United States)
Paul M. Macey, Univ. of California/Los Angeles (United States)
Rodney P. K. Ford, Christchurch Hospital (New Zealand)

Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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