Assessing the effectiveness of heart rate variability as a diagnostic tool for brain injuries in infants
Loading...
Date
2024-12-17
Authors
Rezaei, Kimia
Yu, Kaiyu
Mathieson, Sean R.
Flynn, Andrew
Lightbody, Gordon
Boylan, Geraldine B.
Marnane, William P.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published Version
Abstract
Hypoxic-Ischemic Encephalopathy (HIE), marked by cerebral oxygen deprivation, prompts exploration beyond the electroencephalogram (EEG) modality. This study investigates heart rate variability (HRV) to assess its potential for seizure detection and HIE grading for neonates. This study utilizes two annotated datasets from real-world clinical settings. Heart Rate (HR) is calculated from the Electrocardiogram (ECG) signal, which are then denoised and segmented. Sixteen time and frequency domain features are extracted from each HR segment. Employing Random Forest (RF), Support Vector Machine (SVM), and Isolation Forest (IF) classifiers, the investigation addresses the detection of seizure and nonseizure segments in ECG, alongside categorizing HIE severity into two mild and normal or moderate and severe grades. While the patient-independent evaluation of the seizure detection system reveals promising outcomes for specific cases, there is a requirement for further refinement in this aspect and exploration into the correlation between HR and EEG, considering the modest AUC of 68.54 percent gained across the entire dataset. In contrast, the HIE grading results present a more promising scenario, attaining
an AUC of 77.13 percent. This emphasizes the efficacy of the HIE grading system as a significant diagnostic tool, suggesting its potential for broader clinical applications.
Description
Keywords
Electrocardiogram , Heart rate variability , Hypoxic ischemic encephalopathy grading , Seizure , Time and frequency domain features , Random forest classifier
Citation
Rezaei, K., Yu, K., Mathieson, S. R., Flynn, A., Lightbody, G., Boylan, G. B. and Marnane, W. P. (2024) 'Assessing the effectiveness of heart rate variability as a diagnostic tool for brain injuries in infants', 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 15-19 July, pp. 1-4. https://doi.org/10.1109/EMBC53108.2024.10782021
Link to publisher’s version
Copyright
© 2024, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.