2019
DOI: 10.3233/thc-181375
|View full text |Cite
|
Sign up to set email alerts
|

A novel modular fetal ECG STAN and HRV analysis: Towards robust hypoxia detection

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 7 publications
(9 citation statements)
references
References 35 publications
1
5
0
Order By: Relevance
“…However, in their study, the ECG was taken at 24–36 h of age. Our analysis approach and results are more in line with the fetal STAN-classification, where biphasic ST-segment changes signify more severe asphyxia [ 22 ]. Notably, STAN utilizes a 0.05 to 100 Hz bandwidth [ 14 ].…”
Section: Discussionsupporting
confidence: 69%
See 1 more Smart Citation
“…However, in their study, the ECG was taken at 24–36 h of age. Our analysis approach and results are more in line with the fetal STAN-classification, where biphasic ST-segment changes signify more severe asphyxia [ 22 ]. Notably, STAN utilizes a 0.05 to 100 Hz bandwidth [ 14 ].…”
Section: Discussionsupporting
confidence: 69%
“…In contrast, biphasic ST-segment abnormalities are associated with bradycardia after birth and a need for prolonged BMV and might indicate significant asphyxia when this equipment is being used. Currently, automated systems for ECG classification are established for both adult [ 23 ] and fetal [ 22 ] ECG. Automated evaluation of the neonatal ECG, with appropriate bandwidth and automated analysis should be validated in future studies in order to evaluate whether this potentially can aid in the identification of severely asphyxiated infants.…”
Section: Discussionmentioning
confidence: 99%
“…A linear relationship exists between the increased amplitude of the T wave and the depletion of myocardial glycogen due to hypoxia. This relationship can be quantified by the ratio of T wave amplitude to QRS complex amplitude [84].…”
Section: Cardiac Responsementioning
confidence: 99%
“…9a, b. Once the ECG signals were filtered, R peaks were detected using a detector which applied a continuous wavelet transform (Gaussian mother wavelet with a width of one and five levels of decomposition) [109]. The distances between individual R peaks, i.e., RR intervals, were calculated and applied to ascertain the values of the current HR, the average HR, and the HRV parameters.…”
Section: Signal Processingmentioning
confidence: 99%