Precision of coherence analysis to detect cerebral autoregulation by near-infrared spectroscopy in preterm infants

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Precision of coherence analysis to detect cerebral autoregulation by near-infrared spectroscopy in preterm infants. / Hahn, GH; Christensen, KB; Leung, TS; Greisen, G.

In: Journal of Biomedical Optics, Vol. 15, No. 3, 2010, p. 037002.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hahn, GH, Christensen, KB, Leung, TS & Greisen, G 2010, 'Precision of coherence analysis to detect cerebral autoregulation by near-infrared spectroscopy in preterm infants', Journal of Biomedical Optics, vol. 15, no. 3, pp. 037002. https://doi.org/10.1117/1.3426323

APA

Hahn, GH., Christensen, KB., Leung, TS., & Greisen, G. (2010). Precision of coherence analysis to detect cerebral autoregulation by near-infrared spectroscopy in preterm infants. Journal of Biomedical Optics, 15(3), 037002. https://doi.org/10.1117/1.3426323

Vancouver

Hahn GH, Christensen KB, Leung TS, Greisen G. Precision of coherence analysis to detect cerebral autoregulation by near-infrared spectroscopy in preterm infants. Journal of Biomedical Optics. 2010;15(3):037002. https://doi.org/10.1117/1.3426323

Author

Hahn, GH ; Christensen, KB ; Leung, TS ; Greisen, G. / Precision of coherence analysis to detect cerebral autoregulation by near-infrared spectroscopy in preterm infants. In: Journal of Biomedical Optics. 2010 ; Vol. 15, No. 3. pp. 037002.

Bibtex

@article{4f52445697cd4c55a8327fc0b589ca60,
title = "Precision of coherence analysis to detect cerebral autoregulation by near-infrared spectroscopy in preterm infants",
abstract = "Coherence between spontaneous fluctuations in arterial blood pressure (ABP) and the cerebral near-infrared spectroscopy signal can detect cerebral autoregulation. Because reliable measurement depends on signals with high signal-to-noise ratio, we hypothesized that coherence is more precisely determined when fluctuations in ABP are large rather than small. Therefore, we investigated whether adjusting for variability in ABP (variabilityABP) improves precision. We examined the impact of variabilityABP within the power spectrum in each measurement and between repeated measurements in preterm infants. We also examined total monitoring time required to discriminate among infants with a simulation study. We studied 22 preterm infants (GA<30) yielding 215 10-min measurements. Surprisingly, adjusting for variabilityABP within the power spectrum did not improve the precision. However, adjusting for the variabilityABP among repeated measurements (i.e., weighting measurements with high variabilityABP in favor of those with low) improved the precision. The evidence of drift in individual infants was weak. Minimum monitoring time needed to discriminate among infants was 1.3–3.7 h. Coherence analysis in low frequencies (0.04–0.1 Hz) had higher precision and statistically more power than in very low frequencies (0.003–0.04 Hz). In conclusion, a reliable detection of cerebral autoregulation takes hours and the precision is improved by adjusting for variabilityABP between repeated measurements.",
author = "GH Hahn and KB Christensen and TS Leung and G Greisen",
year = "2010",
doi = "10.1117/1.3426323",
language = "English",
volume = "15",
pages = "037002",
journal = "Journal of Biomedical Optics",
issn = "1083-3668",
publisher = "S P I E - International Society for Optical Engineering",
number = "3",

}

RIS

TY - JOUR

T1 - Precision of coherence analysis to detect cerebral autoregulation by near-infrared spectroscopy in preterm infants

AU - Hahn, GH

AU - Christensen, KB

AU - Leung, TS

AU - Greisen, G

PY - 2010

Y1 - 2010

N2 - Coherence between spontaneous fluctuations in arterial blood pressure (ABP) and the cerebral near-infrared spectroscopy signal can detect cerebral autoregulation. Because reliable measurement depends on signals with high signal-to-noise ratio, we hypothesized that coherence is more precisely determined when fluctuations in ABP are large rather than small. Therefore, we investigated whether adjusting for variability in ABP (variabilityABP) improves precision. We examined the impact of variabilityABP within the power spectrum in each measurement and between repeated measurements in preterm infants. We also examined total monitoring time required to discriminate among infants with a simulation study. We studied 22 preterm infants (GA<30) yielding 215 10-min measurements. Surprisingly, adjusting for variabilityABP within the power spectrum did not improve the precision. However, adjusting for the variabilityABP among repeated measurements (i.e., weighting measurements with high variabilityABP in favor of those with low) improved the precision. The evidence of drift in individual infants was weak. Minimum monitoring time needed to discriminate among infants was 1.3–3.7 h. Coherence analysis in low frequencies (0.04–0.1 Hz) had higher precision and statistically more power than in very low frequencies (0.003–0.04 Hz). In conclusion, a reliable detection of cerebral autoregulation takes hours and the precision is improved by adjusting for variabilityABP between repeated measurements.

AB - Coherence between spontaneous fluctuations in arterial blood pressure (ABP) and the cerebral near-infrared spectroscopy signal can detect cerebral autoregulation. Because reliable measurement depends on signals with high signal-to-noise ratio, we hypothesized that coherence is more precisely determined when fluctuations in ABP are large rather than small. Therefore, we investigated whether adjusting for variability in ABP (variabilityABP) improves precision. We examined the impact of variabilityABP within the power spectrum in each measurement and between repeated measurements in preterm infants. We also examined total monitoring time required to discriminate among infants with a simulation study. We studied 22 preterm infants (GA<30) yielding 215 10-min measurements. Surprisingly, adjusting for variabilityABP within the power spectrum did not improve the precision. However, adjusting for the variabilityABP among repeated measurements (i.e., weighting measurements with high variabilityABP in favor of those with low) improved the precision. The evidence of drift in individual infants was weak. Minimum monitoring time needed to discriminate among infants was 1.3–3.7 h. Coherence analysis in low frequencies (0.04–0.1 Hz) had higher precision and statistically more power than in very low frequencies (0.003–0.04 Hz). In conclusion, a reliable detection of cerebral autoregulation takes hours and the precision is improved by adjusting for variabilityABP between repeated measurements.

U2 - 10.1117/1.3426323

DO - 10.1117/1.3426323

M3 - Journal article

C2 - 20615031

VL - 15

SP - 037002

JO - Journal of Biomedical Optics

JF - Journal of Biomedical Optics

SN - 1083-3668

IS - 3

ER -

ID: 33248595