Literature DB >> 9513008

SUTIL: intelligent ischemia monitoring system.

J Vila1, J Presedo, M Delgado, S Barro, R Ruiz, F Palacios.   

Abstract

SUTIL is an intelligent monitoring system for intensive and exhaustive follow up of patients in coronary care units. This system processes electrocardiographic and hemodynamic signals in real time, with the main objective of detecting ischemic episodes. In this paper, we describe the tasks included in SUTIL. In addition to basic tasks, those at higher levels will also be presented. Some of these latter tasks attempt to mimic, to some extent, the way in which the human expert operates.

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Year:  1997        PMID： 9513008     DOI： 10.1016/s1386-5056(97)00095-6

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN： 1386-5056            Impact factor:   4.046


  7 in total

1.  A knowledge-based technique for automated detection of ischaemic episodes in long duration electrocardiograms.

Authors:  C Papaloukas; D I Fotiadis; A P Liavas; A Likas; L K Michalis
Journal:  Med Biol Eng Comput       Date:  2001-01       Impact factor: 2.602

2.  Detection of abnormality in the electrocardiogram without prior knowledge by using the quantisation error of a self-organising map, tested on the European ischaemia database.

Authors:  E A Fernández; P Willshaw; C A Perazzo; R J Presedo; S Barro
Journal:  Med Biol Eng Comput       Date:  2001-05       Impact factor: 2.602

3.  Automated detection of transient ST-segment episodes in 24 h electrocardiograms.

Authors:  A Smrdel; F Jager
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

4.  Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection.

Authors:  Jinho Park; Witold Pedrycz; Moongu Jeon
Journal:  Biomed Eng Online       Date:  2012-06-15       Impact factor: 2.819

5.  Ischemia detection by electrocardiogram in wavelet domain using entropy measure.

Authors:  Hossein Rabbani; Mohammad Parsa Mahjoob; Eiman Farahabadi; Amin Farahabadi; Alireza Mehri Dehnavi
Journal:  J Res Med Sci       Date:  2011-11       Impact factor: 1.852

Review 6.  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

7.  Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection.

Authors:  Yi-Li Tseng; Keng-Sheng Lin; Fu-Shan Jaw
Journal:  Comput Math Methods Med       Date:  2016-01-26       Impact factor: 2.238
  7 in total

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