Literature DB >> 9365075

Detection of movement artifact in recorded pulse oximeter saturation.

C F Poets1, V A Stebbens.   

Abstract

UNLABELLED: Movement artifact (MA) must be detected when analysing recordings of pulse oximeter saturation (SpO2). Visual analysis of individual pulse waveforms is the safest, but also the most tedious, method for this purpose. We wanted to test the reliability of a computer algorithm (Edentec Motion Annotation System), based on a comparison between pulse and heart rate, for MA detection. Ten 12-h recordings of SpO2, pulse waveforms and heart rate from ten preterm infants were analysed for the presence of MA on the pulse waveform signal. These data were used to determine the sensitivity and specificity of the computer algorithm, and of the oximeter itself, in detecting MA. Recordings were divided into segments of 2.5 s duration to compare the movement identification methods. Of the segments 31% +/- 6% (mean +/- SD) contained MA. The computer algorithm identified 95% +/- 3% of these segments, the pulse oximeter only 18% +/- 11%. Specificity was 85% +/- 4% and 99% +/- 0%, respectively. SpO2 was < or =80% in 3% +/- 1% of segments. 88% +/- 7% of the pulse waveform signal showed MA during this time, leaving a significant potential for erroneous identification of hypoxaemia. Recordings of SpO2 do not allow a reliable identification of MA.
CONCLUSION: Without additional information about movement artifact, a significant proportion of recording time of pulse oximeter signal may be regarded as demonstrating hypoxaemia which, in fact, simply reflects poor measurement conditions. The computer algorithm used in this study identified periods of movement artifact reliably.

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Year:  1997        PMID: 9365075     DOI: 10.1007/s004310050719

Source DB:  PubMed          Journal:  Eur J Pediatr        ISSN: 0340-6199            Impact factor:   3.183


  7 in total

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Authors:  C Cao; I S Kohane; N McIntosh
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2.  Hypoxic events and concomitant factors in preterm infants on non-invasive ventilation.

Authors:  Omid Sadeghi Fathabadi; Timothy Gale; Kevin Wheeler; Gemma Plottier; Louise S Owen; J C Olivier; Peter A Dargaville
Journal:  J Clin Monit Comput       Date:  2016-02-20       Impact factor: 2.502

3.  Algorithms for Monitoring Heart Rate and Respiratory Rate From the Video of a User's Face.

Authors:  Shourjya Sanyal; Koushik Kumar Nundy
Journal:  IEEE J Transl Eng Health Med       Date:  2018-04-12       Impact factor: 3.316

4.  Artifact detection in the PO2 and PCO2 time series monitoring data from preterm infants.

Authors:  C Cao; N McIntosh; I S Kohane; K Wang
Journal:  J Clin Monit Comput       Date:  1999-08       Impact factor: 2.502

5.  Quantifying Movement in Preterm Infants Using Photoplethysmography.

Authors:  Ian Zuzarte; Premananda Indic; Dagmar Sternad; David Paydarfar
Journal:  Ann Biomed Eng       Date:  2018-09-25       Impact factor: 3.934

6.  A conversion formula for comparing pulse oximeter desaturation rates obtained with different averaging times.

Authors:  Jan Vagedes; Anja Bialkowski; Cornelia Wiechers; Christian F Poets; Klaus Dietz
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

7.  Detection of hypoxia by near-infrared spectroscopy and pulse oximetry: a comparative study.

Authors:  Amanda Cheung; Lorna Tu; Andrew Macnab; Brian K Kwon; Babak Shadgan
Journal:  J Biomed Opt       Date:  2022-07       Impact factor: 3.758

  7 in total

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