Journal ArticleDOI
Comparative study of local and Karhunen-Loe´ve-based ST-T indexes in recordings from human subjects with induced myocardial ischemia
José Luis Rodríguez García,Paul Lander,Leif Sörnmo,Salvador Olmos,Galen S. Wagner,Pablo Laguna +5 more
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TLDR
A global representation of the entire ST-T complex appears to be more suitable than local measurements when studying the initial stages of myocardial ischemia.About:
This article is published in Computers and Biomedical Research.The article was published on 1998-08-01. It has received 57 citations till now. The article focuses on the topics: ST segment & QRS complex.read more
Citations
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Journal ArticleDOI
Principal component analysis in ECG signal processing
TL;DR: Several ECG applications are reviewed where PCA techniques have been successfully employed, including data compression, ST-T segment analysis for the detection of myocardial ischemia and abnormalities in ventricular repolarization, extraction of atrial fibrillatory waves for detailed characterization of atrium fibrillation, and analysis of body surface potential maps.
Journal ArticleDOI
Analysis of heart rate variability in the presence of ectopic beats using the heart timing signal
Javier Mateo,Pablo Laguna +1 more
TL;DR: The proposed method for PSD estimation of the HRV by means of the heart timing (HT) signal has one order of magnitude lower error than usual ectopic beats removal strategies in preserving PSD, thus, this strategy better recovers the original clinical indexes of interest.
Journal ArticleDOI
Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring
TL;DR: A new detector is presented which finds changes in the repolarization phase (ST-T complex) of the cardiac cycle by applying a detection algorithm to the filtered root mean square series of differences between the beat segment and an average pattern segment, providing a wider characterization of the potential ischemic events.
Journal ArticleDOI
A Review of Automated Methods for Detection of Myocardial Ischemia and Infarction Using Electrocardiogram and Electronic Health Records
Sardar Ansari,Negar Farzaneh,Marlena Duda,Kelsey Horan,Hedvig Bille Andersson,Zachary D. Goldberger,Brahmajee K. Nallamothu,Kayvan Najarian +7 more
TL;DR: An overview of the methods proposed for automatic detection of ischemia and myocardial infarction using computer algorithms focuses on their historical evolution, the publicly available datasets that they have used to evaluate their performance, and the details of their algorithms for ECG and EHR analysis.
Journal ArticleDOI
Ischemia detection with a self-organizing map supplemented by supervised learning
TL;DR: The utilization of sNet-SOM with supervised learning based on the radial basis functions and support vector machines has resulted in an improved accuracy of ischemia detection especially in the last case.
References
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Journal Article
An analysis of the time-relations of electrocardiograms
TL;DR: In this paper, a preliminary attempt was made to determine from blood pressure records the relative influence of the heart action and of vaso-canstriction, and it was suggested that it might be necessary to estimate the duration of ventricular systole for different heart rates.
Journal ArticleDOI
Electrical Alternans and Vulnerability to Ventricular Arrhythmias
David S. Rosenbaum,Lance Jackson,Joseph M. Smith,Hasan Garan,Jeremy N. Ruskin,Richard J. Cohen +5 more
TL;DR: Electrical alternans affecting the ST segment and T wave is common among patients at increased risk for ventricular arrhythmias and may serve as a noninvasive marker of vulnerability to arrhythmia.
Book
Discrete Random Signals and Statistical Signal Processing
TL;DR: Random vectors random processes moment analysis linear transformations estimation optimal filtering linear prediction linear models spectrum estimation.
Proceedings ArticleDOI
A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG
TL;DR: A QT database designed for evaluation of algorithms that detect waveform boundaries in the ECG, consisting of 105 fifteen-minute excerpts of two-channel ECG Holter recordings, chosen to include a broad variety of QRS and ST-T morphologies.
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