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

Access to Document

10.1109/TBME.1982.324977

Cite this

@article{f501bde45d4f412bb83b8926377fb251,

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",

year = "1982",

month = jan,

day = "1",

doi = "10.1109/TBME.1982.324977",

language = "English",

volume = "BME-29",

pages = "469--472",

journal = "IEEE Transactions on Biomedical Engineering",

issn = "0018-9294",

publisher = "Institute of Electrical and Electronics Engineers",

number = "6",

}

TY - JOUR

T1 - On Quantitative Analysis of Periodicity in Neonatal Respiratory Signals

AU - Cohen, Arnon

AU - Gutnick, Michael J.

AU - Zmora, Ehud

AU - Karplus, Michael

PY - 1982/1/1

Y1 - 1982/1/1

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.

UR - http://www.scopus.com/inward/record.url?scp=0020332052&partnerID=8YFLogxK

U2 - 10.1109/TBME.1982.324977

DO - 10.1109/TBME.1982.324977

M3 - Article

AN - SCOPUS:0020332052

SN - 0018-9294

VL - BME-29

SP - 469

EP - 472

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

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this