Literature DB >> 9731269

Comparative study of local and Karhunen-Loève-based ST-T indexes in recordings from human subjects with induced myocardial ischemia.

J García1, P Lander, L Sörnmo, S Olmos, G Wagner, P Laguna.   

Abstract

In this work we studied ST-T complex changes in the ECG as result of induced ischemia. The principal aim was to determine whether global changes in the ST-T complex were more sensitive markers of ischemic alterations than those based on measurements of changes at specific locations on ST segment or T wave. High-resolution ECGs from patients undergoing percutaneous transluminal coronary angioplasty in one of the major coronary arteries were analyzed to give a description of the period from the end of active depolarization (QRS complex) to the end of active repolarization (T wave). During artery occlusion traditional local measurements of the ST-T complex were compared to global measurements based on the Karhunen-Loève transform. An ischemic change sensor parameter was estimated for each of the studied indexes showing that global measurements detected changes better in the repolarization period in a larger number of leads and with higher sensitivity (more than 85%) than was done using local measurements (sensitivity of 64% with ST level, 33% with T-wave maximum position, and 37% with T-wave maximum amplitude). Using these global indexes it was found that most cases of ST-segment changes were accompanied by T-wave changes (72% of patients). With the use of traditional indexes 23% of patients showed no changes in the repolarization period, whereas with global indexes this percentage decreased to 8%. Thus 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.

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Year:  1998        PMID: 9731269     DOI: 10.1006/cbmr.1998.1481

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


  9 in total

1.  Hierarchical state space partitioning with a network self-organising map for the recognition of ST-T segment changes.

Authors:  A Bezerianos; L Vladutu; S Papadimitriou
Journal:  Med Biol Eng Comput       Date:  2000-07       Impact factor: 2.602

2.  Characterisation of acute myocardial ischaemia in a canine model based on principal component analysis of unipolar endocardial electrograms.

Authors:  A Schwartzman; T Wolf; L Gepstein; G Hayam; J Lessick; D Reisfeld; Y Schwartz; G Uretzky; S A Ben-Haim
Journal:  Med Biol Eng Comput       Date:  2001-09       Impact factor: 2.602

3.  Evaluation of ventricular repolarization dispersion during acute myocardial ischemia: spatial and temporal ECG indices.

Authors:  Pedro David Arini; Fabricio Hugo Baglivo; Juan Pablo Martínez; Pablo Laguna
Journal:  Med Biol Eng Comput       Date:  2014-01-29       Impact factor: 2.602

4.  A pilot study examining the performance of polynomial-modeled ventricular shock electrograms for rhythm discrimination in implantable devices.

Authors:  Jeffrey L Williams; Vladimir Shusterman; Samir Saba
Journal:  Pacing Clin Electrophysiol       Date:  2006-09       Impact factor: 1.976

5.  A segmental polynomial model of ventricular electrograms as a simple and efficient morphology discriminator for implantable devices.

Authors:  Jeffrey L Williams; Vladimir Shusterman; Samir Saba
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-07       Impact factor: 1.468

6.  Karhunen-Loève representation distinguishes ST-T wave morphology differences in emergency department chest pain patients with non-ST-elevation myocardial infarction versus nonacute coronary syndrome.

Authors:  Daniel M Schindler; Robert L Lux; Vladimir Shusterman; Barbara J Drew
Journal:  J Electrocardiol       Date:  2007 Nov-Dec       Impact factor: 1.438

7.  Non-invasive computerised detection of acute coronary occlusion.

Authors:  G Dori; Y Denekamp; S Fishman; A Rosenthal; V Frajewicki; B S Lewis; H Bitterman
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

Review 8.  A Review of Automated Methods for Detection of Myocardial Ischemia and Infarction Using Electrocardiogram and Electronic Health Records.

Authors:  Sardar Ansari; Negar Farzaneh; Marlena Duda; Kelsey Horan; Hedvig B Andersson; Zachary D Goldberger; Brahmajee K Nallamothu; Kayvan Najarian
Journal:  IEEE Rev Biomed Eng       Date:  2017-10-16

9.  Electrocardiogram ST-Segment Morphology Delineation Method Using Orthogonal Transformations.

Authors:  Miha Amon; Franc Jager
Journal:  PLoS One       Date:  2016-02-10       Impact factor: 3.240

  9 in total

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