Ventricular repolarization instability quantified by instantaneous frequency of ECG ST intervals
BACKGROUND: Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST interval can be used to measure ventricular repolarization. Analyzing the duration variation of the ST intervals can provide new information about...
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Published in | Technology and health care Vol. 29; no. 1; pp. 73 - 83 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
London, England
SAGE Publications
01.01.2021
Sage Publications Ltd IOS Press |
Subjects | |
Online Access | Get full text |
ISSN | 0928-7329 1878-7401 1878-7401 |
DOI | 10.3233/THC-202377 |
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Abstract | BACKGROUND:
Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST interval can be used to measure ventricular repolarization. Analyzing the duration variation of the ST intervals can provide new information about the arrhythmogenic vulnerability.
OBJECTIVE:
In this work, we propose a new method based on mean instantaneous frequency (IF) of the ST intervals to quantitatively evaluate the risk of sudden cardiac deaths (SCDs).
METHODS:
Two spectral bands, i.e. the low-frequency band (LF, 0–0.15 Hz) and the high-frequency band (HF, 0.15–0.5 Hz), are considered in this paper. Based on IF estimates, the ECG recordings from three MIT-BIH databases that represent different risk levels of SCD occurrence are used, and their mean IFs in the LF and HF bands are calculated.
RESULTS:
The statistical results show that healthy subjects have a higher mean IF in the HF band and a lower mean IF in the LF band. The experimental results are the opposite for patients with malignant ventricular arrhythmia.
CONCLUSION:
The proposed mean IF can represent an indirect measure of intrinsic ventricular repolarization instability and can mark cardiac instability associated with SCDs. |
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AbstractList | Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST interval can be used to measure ventricular repolarization. Analyzing the duration variation of the ST intervals can provide new information about the arrhythmogenic vulnerability.
In this work, we propose a new method based on mean instantaneous frequency (IF) of the ST intervals to quantitatively evaluate the risk of sudden cardiac deaths (SCDs).
Two spectral bands, i.e. the low-frequency band (LF, 0-0.15 Hz) and the high-frequency band (HF, 0.15-0.5 Hz), are considered in this paper. Based on IF estimates, the ECG recordings from three MIT-BIH databases that represent different risk levels of SCD occurrence are used, and their mean IFs in the LF and HF bands are calculated.
The statistical results show that healthy subjects have a higher mean IF in the HF band and a lower mean IF in the LF band. The experimental results are the opposite for patients with malignant ventricular arrhythmia.
The proposed mean IF can represent an indirect measure of intrinsic ventricular repolarization instability and can mark cardiac instability associated with SCDs. Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST interval can be used to measure ventricular repolarization. Analyzing the duration variation of the ST intervals can provide new information about the arrhythmogenic vulnerability.BACKGROUNDVentricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST interval can be used to measure ventricular repolarization. Analyzing the duration variation of the ST intervals can provide new information about the arrhythmogenic vulnerability.In this work, we propose a new method based on mean instantaneous frequency (IF) of the ST intervals to quantitatively evaluate the risk of sudden cardiac deaths (SCDs).OBJECTIVEIn this work, we propose a new method based on mean instantaneous frequency (IF) of the ST intervals to quantitatively evaluate the risk of sudden cardiac deaths (SCDs).Two spectral bands, i.e. the low-frequency band (LF, 0-0.15 Hz) and the high-frequency band (HF, 0.15-0.5 Hz), are considered in this paper. Based on IF estimates, the ECG recordings from three MIT-BIH databases that represent different risk levels of SCD occurrence are used, and their mean IFs in the LF and HF bands are calculated.METHODSTwo spectral bands, i.e. the low-frequency band (LF, 0-0.15 Hz) and the high-frequency band (HF, 0.15-0.5 Hz), are considered in this paper. Based on IF estimates, the ECG recordings from three MIT-BIH databases that represent different risk levels of SCD occurrence are used, and their mean IFs in the LF and HF bands are calculated.The statistical results show that healthy subjects have a higher mean IF in the HF band and a lower mean IF in the LF band. The experimental results are the opposite for patients with malignant ventricular arrhythmia.RESULTSThe statistical results show that healthy subjects have a higher mean IF in the HF band and a lower mean IF in the LF band. The experimental results are the opposite for patients with malignant ventricular arrhythmia.The proposed mean IF can represent an indirect measure of intrinsic ventricular repolarization instability and can mark cardiac instability associated with SCDs.CONCLUSIONThe proposed mean IF can represent an indirect measure of intrinsic ventricular repolarization instability and can mark cardiac instability associated with SCDs. BACKGROUND: Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST interval can be used to measure ventricular repolarization. Analyzing the duration variation of the ST intervals can provide new information about the arrhythmogenic vulnerability. OBJECTIVE: In this work, we propose a new method based on mean instantaneous frequency (IF) of the ST intervals to quantitatively evaluate the risk of sudden cardiac deaths (SCDs). METHODS: Two spectral bands, i.e. the low-frequency band (LF, 0–0.15 Hz) and the high-frequency band (HF, 0.15–0.5 Hz), are considered in this paper. Based on IF estimates, the ECG recordings from three MIT-BIH databases that represent different risk levels of SCD occurrence are used, and their mean IFs in the LF and HF bands are calculated. RESULTS: The statistical results show that healthy subjects have a higher mean IF in the HF band and a lower mean IF in the LF band. The experimental results are the opposite for patients with malignant ventricular arrhythmia. CONCLUSION: The proposed mean IF can represent an indirect measure of intrinsic ventricular repolarization instability and can mark cardiac instability associated with SCDs. BACKGROUND: Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST interval can be used to measure ventricular repolarization. Analyzing the duration variation of the ST intervals can provide new information about the arrhythmogenic vulnerability. OBJECTIVE: In this work, we propose a new method based on mean instantaneous frequency (IF) of the ST intervals to quantitatively evaluate the risk of sudden cardiac deaths (SCDs). METHODS: Two spectral bands, i.e. the low-frequency band (LF, 0–0.15 Hz) and the high-frequency band (HF, 0.15–0.5 Hz), are considered in this paper. Based on IF estimates, the ECG recordings from three MIT-BIH databases that represent different risk levels of SCD occurrence are used, and their mean IFs in the LF and HF bands are calculated. RESULTS: The statistical results show that healthy subjects have a higher mean IF in the HF band and a lower mean IF in the LF band. The experimental results are the opposite for patients with malignant ventricular arrhythmia. CONCLUSION: The proposed mean IF can represent an indirect measure of intrinsic ventricular repolarization instability and can mark cardiac instability associated with SCDs. |
Author | Zhang, Mingrui Jin, Zhiyao Wan, Xiangkui Zhu, Binru Liu, Junjie |
Author_xml | – sequence: 1 givenname: Xiangkui surname: Wan fullname: Wan, Xiangkui email: wanxiangkui@163.com organization: Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System – sequence: 2 givenname: Junjie surname: Liu fullname: Liu, Junjie organization: Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System – sequence: 3 givenname: Zhiyao surname: Jin fullname: Jin, Zhiyao organization: Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System – sequence: 4 givenname: Binru surname: Zhu fullname: Zhu, Binru organization: Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System – sequence: 5 givenname: Mingrui surname: Zhang fullname: Zhang, Mingrui organization: Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32925122$$D View this record in MEDLINE/PubMed |
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Keywords | ECG ST interval instantaneous frequency Ventricular repolarization instabilities |
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Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST... BACKGROUND: Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST... Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST interval can be... |
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SubjectTerms | Arrhythmia Cardiac arrhythmia EKG Electrocardiography Heart Instability Intervals Low frequencies Potassium Risk levels Spectral bands Ventricle |
Title | Ventricular repolarization instability quantified by instantaneous frequency of ECG ST intervals |
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