The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Comparison of Entropy-Based Regularity Estimators: Application to the Fetal Heart Rate Signal for the Identification of Fetal Distress
Abstract
This paper considers the multiscale entropy (MSE) approach for estimating the regularity of time series at different scales. Sample entropy (SampEn) and approximate entropy (ApEn) are evaluated in MSE analysis on simulated data to enhance the main features of both estimators. We applied the approximate entropy and the sample entropy estimators to fetal heart rate signals on both single and multiple scales for an early identification of fetal sufferance antepartum. Our results show that the ApEn index significantly distinguishes suffering from normal fetuses between the 30th and the 35th week of gestation. Furthermore, our data shows that the MSE entropy values are reliable indicators of the fetal distress associated with the presence of a pathological condition at birth.
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Citations
Cites
Approximate entropy as a measure of system complexity.
Pincus, S. M. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.6.2297 · Cited by 5,811
Multiscale Entropy Analysis of Complex Physiologic Time Series
Costa, M., Goldberger, A. L., & Peng, C.-K. (2002) · Physical Review Letters · doi:10.1103/physrevlett.89.068102 · Cited by 3,207
Ho, K. K. L., Moody, G. B., Peng, C.-K., Mietus, J. E., Larson, M. G., Levy, D., & Goldberger, A. L. (1997) · Circulation · doi:10.1161/01.cir.96.3.842 · Cited by 489
Cited by
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals
(2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2679136 · Cited by 319
Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy
Escudero, J., Abásolo, D., Hornero, R., Espino, P., & López, M. (2006) · Physiological Measurement · doi:10.1088/0967-3334/27/11/004 · Cited by 264
The future of electronic fetal monitoring
Knupp, R. J., Andrews, W. W., & Tita, A. T. N. (2020) · Best Practice & Research Clinical Obstetrics & Gynaecology · doi:10.1016/j.bpobgyn.2020.02.004 · Cited by 29
Metadata
- Authors
- Ferrario, M., Signorini, M. G., Magenes, G., & Cerutti, S.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2006-01
- Volume
- 53
- Issue
- 1
- Pages
- 119-125
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2167595074
- Cited by
- 181
- References
- 3
- FWCI
- 5.52
- Type
- journal article
- Language
- en
- Open access
- closed
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