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A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram.

Abstract：

OBJECTIVE:To determine if an automatic algorithm using wavelet analysis techniques can be used to reliably determine respiratory rate from the photoplethysmogram (PPG). METHODS:Photoplethysmograms were obtained from 12 spontaneously breathing healthy adult volunteers. Three related wavelet transforms were automatically polled to obtain a measure of respiratory rate. This was compared with a secondary timing signal obtained by asking the volunteers to actuate a small push button switch, held in their right hand, in synchronisation with their respiration. In addition, individual breaths were resolved using the wavelet-method to identify the source of any discrepancies. RESULTS:Volunteer respiratory rates varied from 6.56 to 18.89 breaths per minute. Through training of the algorithm it was possible to determine a respiratory rate for all 12 traces acquired during the study. The maximum error between the PPG derived rates and the manually determined rate was found to be 7.9%. CONCLUSION:Our technique allows the accurate measurement of respiratory rate from the photoplethysmogram, and leads the way for developing a simple non-invasive combined respiration and saturation monitor.

journal_name

J Clin Monit Comput

journal_title

Journal of clinical monitoring and computing

authors

Leonard PA,Douglas JG,Grubb NR,Clifton D,Addison PS,Watson JN

doi

10.1007/s10877-005-9007-7

subject

Has Abstract

pub_date

2006-02-01 00:00:00

pages

33-6

issue

1

eissn

1387-1307

issn

1573-2614

journal_volume

20

pub_type

杂志文章

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