Investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia

Prediction of malignant ventricular arrhythmia is imperative to enable early diagnosis and prevent sudden cardiac death. There are a wide variety of methods employed in previous works with box counting of phase space reconstruction diagrams achieving the highest performance. However, there is no fol...

Full description

Bibliographic Details
Main Authors: Heng, W. W., Lee Ming, E. S., Jamaluddin, A. N., Yeong, C. F.
Format: Article
Published: Penerbit UTHM 2020
Subjects:
_version_ 1796864272725180416
author Heng, W. W.
Lee Ming, E. S.
Jamaluddin, A. N.
Yeong, C. F.
author_facet Heng, W. W.
Lee Ming, E. S.
Jamaluddin, A. N.
Yeong, C. F.
author_sort Heng, W. W.
collection ePrints
description Prediction of malignant ventricular arrhythmia is imperative to enable early diagnosis and prevent sudden cardiac death. There are a wide variety of methods employed in previous works with box counting of phase space reconstruction diagrams achieving the highest performance. However, there is no follow-up work investigating or improving this method. This work is performed to objectively assess the feasibility of box counting technique for prediction of malignant ventricular arrhythmia and to validate the prediction technique across larger data sets, including the widely acceptable MIT-BIH database. Box counting using different windowing methods, data representation methods of phase portrait and testing database are investigated for performance and versatility. By using windows of RR segments and linking phase portraits, this modified box counting method has higher resistance to signal noises, which are common in the electrocardiogram. It is verified using four Physionet databases (CUDB, SDDB, PTBDB and NSRDB) which contain either arrhythmic or control records. High prediction accuracy of 94.12%, sensitivity of 88.46% and specificity of 100% are achieved by the coefficient of variation derived from this method. This technique is proven useful in predicting malignant ventricular arrhythmia and its implementation is envisaged to enable early detection and diagnosis.
first_indexed 2024-03-05T20:39:23Z
format Article
id utm.eprints-86586
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T20:39:23Z
publishDate 2020
publisher Penerbit UTHM
record_format dspace
spelling utm.eprints-865862020-09-30T08:43:52Z http://eprints.utm.my/86586/ Investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia Heng, W. W. Lee Ming, E. S. Jamaluddin, A. N. Yeong, C. F. TK Electrical engineering. Electronics Nuclear engineering Prediction of malignant ventricular arrhythmia is imperative to enable early diagnosis and prevent sudden cardiac death. There are a wide variety of methods employed in previous works with box counting of phase space reconstruction diagrams achieving the highest performance. However, there is no follow-up work investigating or improving this method. This work is performed to objectively assess the feasibility of box counting technique for prediction of malignant ventricular arrhythmia and to validate the prediction technique across larger data sets, including the widely acceptable MIT-BIH database. Box counting using different windowing methods, data representation methods of phase portrait and testing database are investigated for performance and versatility. By using windows of RR segments and linking phase portraits, this modified box counting method has higher resistance to signal noises, which are common in the electrocardiogram. It is verified using four Physionet databases (CUDB, SDDB, PTBDB and NSRDB) which contain either arrhythmic or control records. High prediction accuracy of 94.12%, sensitivity of 88.46% and specificity of 100% are achieved by the coefficient of variation derived from this method. This technique is proven useful in predicting malignant ventricular arrhythmia and its implementation is envisaged to enable early detection and diagnosis. Penerbit UTHM 2020 Article PeerReviewed Heng, W. W. and Lee Ming, E. S. and Jamaluddin, A. N. and Yeong, C. F. (2020) Investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia. International Journal of Integrated Engineering, 12 (2). pp. 187-196. ISSN 2229-838X https://dx.doi.org/10.30880/ijie.2020.12.02.022 DOI:10.30880/ijie.2020.12.02.022
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Heng, W. W.
Lee Ming, E. S.
Jamaluddin, A. N.
Yeong, C. F.
Investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia
title Investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia
title_full Investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia
title_fullStr Investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia
title_full_unstemmed Investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia
title_short Investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia
title_sort investigating phase space reconstruction of ecg for prediction of malignant ventricular arrhythmia
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT hengww investigatingphasespacereconstructionofecgforpredictionofmalignantventriculararrhythmia
AT leeminges investigatingphasespacereconstructionofecgforpredictionofmalignantventriculararrhythmia
AT jamaluddinan investigatingphasespacereconstructionofecgforpredictionofmalignantventriculararrhythmia
AT yeongcf investigatingphasespacereconstructionofecgforpredictionofmalignantventriculararrhythmia