On Quantitative Analysis of Periodicity in Neonatal Respiratory Signals

Arnon Cohen; Michael J. Gutnick; Ehud Zmora; Michael Karplus

doi:10.1109/TBME.1982.324977

On Quantitative Analysis of Periodicity in Neonatal Respiratory Signals

Arnon Cohen
, Michael J. Gutnick
, Ehud Zmora
, Michael Karplus

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

A quantitative wavelet periodicity measure was defined. This measure allows the quantitative description of wavelet periodicity in the neonatal respiratory signal. An iterative algorithm for on-line estimation of the periodicity measure may be useful as one of the features for automatic evaluation of the state of consciousness in premature infants.

Original language	English
Pages (from-to)	469-472
Number of pages	4
Journal	IEEE Transactions on Biomedical Engineering
Volume	BME-29
Issue number	6
DOIs	https://doi.org/10.1109/TBME.1982.324977
State	Published - 1 Jan 1982

ASJC Scopus subject areas

Biomedical Engineering

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title = "On Quantitative Analysis of Periodicity in Neonatal Respiratory Signals",

abstract = "A quantitative wavelet periodicity measure was defined. This measure allows the quantitative description of wavelet periodicity in the neonatal respiratory signal. An iterative algorithm for on-line estimation of the periodicity measure may be useful as one of the features for automatic evaluation of the state of consciousness in premature infants.",

author = "Arnon Cohen and Gutnick, \{Michael J.\} and Ehud Zmora and Michael Karplus",

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AU - Gutnick, Michael J.

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AU - Karplus, Michael

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N2 - A quantitative wavelet periodicity measure was defined. This measure allows the quantitative description of wavelet periodicity in the neonatal respiratory signal. An iterative algorithm for on-line estimation of the periodicity measure may be useful as one of the features for automatic evaluation of the state of consciousness in premature infants.

AB - A quantitative wavelet periodicity measure was defined. This measure allows the quantitative description of wavelet periodicity in the neonatal respiratory signal. An iterative algorithm for on-line estimation of the periodicity measure may be useful as one of the features for automatic evaluation of the state of consciousness in premature infants.

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AN - SCOPUS:0020332052

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JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 6

ER -

On Quantitative Analysis of Periodicity in Neonatal Respiratory Signals

Abstract

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