Literature DB >> 2601443

Bottom-up approach to the ECG pattern-recognition problem.

P Trahanias, E Skordalakis.   

Abstract

A bottom-up approach to the recognition problem in ECG waveforms is presented in the paper. This approach is based on the assumption that ECG waveforms are composite entities that can be decomposed into other simpler entities, these into other simpler ones etc., until peak patterns and segment patterns are obtained. The peak patterns and the segment patterns are considered primitive (nondecomposable) patterns. The recognition is achieved by first recognising the primitive patterns and then recognising the (higher) ECG patterns using a bottom-up procedure.

Mesh:

Year:  1989        PMID: 2601443     DOI: 10.1007/bf02441478

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  7 in total

1.  Establishment of a reference library for evaluating computer ECG measurement programs.

Authors:  J L Willems; P Arnaud; J H van Bemmel; P J Bourdillon; R Degani; B Denis; F M Harms; P W Macfarlane; G Mazzocca; J Meyer
Journal:  Comput Biomed Res       Date:  1985-10

2.  Delineation of the QRS complex using the envelope of the e.c.g.

Authors:  M E Nygårds; L Sörnmo
Journal:  Med Biol Eng Comput       Date:  1983-09       Impact factor: 2.602

Review 3.  Software QRS detection in ambulatory monitoring--a review.

Authors:  O Pahlm; L Sórnmo
Journal:  Med Biol Eng Comput       Date:  1984-07       Impact factor: 2.602

4.  Recognition of noisy peaks in ECG waveforms.

Authors:  E Skordalakis
Journal:  Comput Biomed Res       Date:  1984-06

5.  A real-time QRS detection algorithm.

Authors:  J Pan; W J Tompkins
Journal:  IEEE Trans Biomed Eng       Date:  1985-03       Impact factor: 4.538

6.  A robust-digital QRS-detection algorithm for arrhythmia monitoring.

Authors:  A Ligtenberg; M Kunt
Journal:  Comput Biomed Res       Date:  1983-06

7.  A plea for common standards in computer aided ECG analysis.

Authors:  J L Willems
Journal:  Comput Biomed Res       Date:  1980-04
  7 in total
  2 in total

1.  Personal computer system for ECG ST-segment recognition based on neural networks.

Authors:  Y Suzuki; K Ono
Journal:  Med Biol Eng Comput       Date:  1992-01       Impact factor: 2.602

2.  QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases.

Authors:  Indu Saini; Dilbag Singh; Arun Khosla
Journal:  J Adv Res       Date:  2012-07-06       Impact factor: 10.479

  2 in total

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