The effect of artifact correction on spectral estimates of heart rate variability

Peters, C.H.L.; Vullings, Rik; Bergmans, J.W.M.; Oei, Guid; Wijn, Pff Pieter

doi:10.1109/iembs.2008.4649751

Cited by 23 publications

(24 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Sudden transitions introduced by deletions will falsely increase all three measures. As shown here, long-term time domain HRV measures are more tolerant to artifact than short-term measures, which is consistent with the literature (e.g., Peters, Vullings, Bergmans, Oei, & Wijn, 2008;Salo et al, 2001).…”

Section: Deletion Of Rr Intervals As Well As Insertion Of Artifact Isupporting

confidence: 93%

The sensitivity of 38 heart rate variability measures to the addition of artifact in human and artificial 24‐hr cardiac recordings

Stapelberg

Neumann

Shum

et al. 2017

Noninvasive Electrocardiol

View full text Add to dashboard Cite

show abstract

Section: Deletion Of Rr Intervals As Well As Insertion Of Artifact Isupporting

confidence: 93%

The sensitivity of 38 heart rate variability measures to the addition of artifact in human and artificial 24‐hr cardiac recordings

Stapelberg

Neumann

Shum

et al. 2017

Noninvasive Electrocardiol

View full text Add to dashboard Cite

show abstract

“…Spectral analysis has been widely used to measure FHR and FHRV, but can be vulnerable to missing data (Peters, Vullings, Bergmans, Oei, & Wijn, 2008). We were unable to conduct a spectral analysis because 36% of our data was missing.…”

Section: Limitationsmentioning

confidence: 99%

Assessment of autonomic function in the late term fetus: The effects of sex and state

Zavala

Ecklund‐Flores

Myers

et al. 2019

Developmental Psychobiology

View full text Add to dashboard Cite

Researchers have reported associations between fetal sex and heart rate (FHR) and heart rate variability (FHRV) but rarely in the context of fetal behavioral sleep state. We examined differences in measures of fetal autonomic function by sex and sleep state. Fetal abdominal ECG monitoring technology was used to measure FHR and two measures of FHRV—standard deviation of FHR (SD) and beat‐to‐beat variability (RMSSD). FHR and movement patterns were also recorded with standard Doppler ultrasound monitor technology employed to code sleep states. Data were collected from 82 healthy fetuses ranging from 36 to 39 weeks gestation. A one‐way MANOVA showed that FHR was significantly lower and SD was significantly higher for males than females. Independent samples t tests found that these sex differences were only in the active sleep state. There were no significant differences in RMSSD by sex. Repeated measures MANOVA for a subset that exhibited more than one state (N = 22) showed that SD was significantly different by state. RMSSD showed a marginally significant sleep state difference. In conclusion, fetal sex differences in HR and HRV may indicate more mature autonomic functioning in near‐term males than females and fetal sleep state can influence abdominal fECG derived measures of FHR and FHRV.

show abstract

“…The minimum length of FHR signal that is required to calculate LF (and T P) is determined by the largest wavelet of the LF band. Therefore, a segment of at least 50 seconds is required to reliably calculate LF (Peters et al, 2008). Similarly, calculation of normalized frequency powers (LF n and HF n ) also requires 50 seconds.…”

Section: Frequency Domain Featuresmentioning

confidence: 99%

Using uterine activity to improve fetal heart rate variability analysis for detection of asphyxia during labor

et al. 2016

View full text Add to dashboard Cite

During labor, uterine contractions can cause temporary oxygen deficiency for the fetus. In case of severe and prolonged oxygen deficiency this can lead to asphyxia. The currently used technique for detection of asphyxia, cardiotocography (CTG), suffers from a low specificity. Recent studies suggest that analysis of fetal heart rate variability (HRV) in addition to CTG can provide information on fetal distress. However, interpretation of fetal HRV during labor is difficult due to the influence of uterine contractions on fetal HRV. The aim of this study is therefore to investigate whether HRV features differ during contraction and rest periods, and whether these differences can improve the detection of asphyxia. To this end, a case-control study was performed, using 14 cases with asphyxia that were matched with 14 healthy fetuses. We did not find significant differences for individual HRV features when calculated over the fetal heart rate without separating contractions and rest periods (p > 0.30 for all HRV features). Separating contractions from rest periods did result in a significant difference. In particular the ratio between HRV features calculated during and outside contractions can improve discrimination between fetuses with and without asphyxia (p < 0.04 for three out of four ratio HRV features that were studied in this paper).

show abstract

The effect of artifact correction on spectral estimates of heart rate variability

Cited by 23 publications

References 8 publications

The sensitivity of 38 heart rate variability measures to the addition of artifact in human and artificial 24‐hr cardiac recordings

The sensitivity of 38 heart rate variability measures to the addition of artifact in human and artificial 24‐hr cardiac recordings

Assessment of autonomic function in the late term fetus: The effects of sex and state

Using uterine activity to improve fetal heart rate variability analysis for detection of asphyxia during labor

Contact Info

Product

Resources

About