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Syntactic pattern recognition of the ECG

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TLDR
An application of the syntactic method to electrocardiogram (ECG) pattern recognition and parameter measurement is presented and the performance of the resultant system has been evaluated using an annotated standard ECG library.
Abstract
An application of the syntactic method to electrocardiogram (ECG) pattern recognition and parameter measurement is presented. Solutions to the related problems of primitive pattern selection, primitive pattern extraction, linguistic representation, and pattern grammar formulation are given. Attribute grammars are used as the model for the pattern grammar because of their descriptive power, founded upon their ability to handle syntactic as well as semantic information. This approach has been implemented and the performance of the resultant system has been evaluated using an annotated standard ECG library. >

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Citations
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Journal ArticleDOI

The principles of software QRS detection

TL;DR: The authors provide an overview of these recent developments as well as of formerly proposed algorithms for QRS detection, which reflects the electrical activity within the heart during the ventricular contraction.
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Attribute grammar paradigms—a high-level methodology in language implementation

Jukka Paakki
TL;DR: Attribute grammars are a formalism for specifying programming languages as mentioned in this paper, and they have been applied to a great number of systems automatically producing language implementations from their specifications, and representative specification languages are presented with a common example grammar.

Generalized feature extraction for structural pattern recognition in time-series data

TL;DR: The ability of the suite of structure detectors to generate features useful for structural pattern recognition is evaluated by comparing the classification accuracies achieved when using the structure detectors versus commonly-used statistical feature extractors, thus demonstrating that the suiteOf structure detectors effectively performs generalized feature extraction forStructural pattern recognition in time-series data.
Journal ArticleDOI

ECG compression using long-term prediction

TL;DR: A new algorithm for ECG signal compression is introduced that can be considered a generalization of the recently published average beat subtraction method, and was found superior at any bit rate.
Journal ArticleDOI

Empirical mode decomposition based ECG enhancement and QRS detection

TL;DR: An Empirical Mode Decomposition (EMD) based ECG signal enhancement and QRS detection algorithm is proposed and a single fold processing of each signal is required unlike other conventional techniques.
References
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Journal ArticleDOI

Attributed Grammar-A Tool for Combining Syntactic and Statistical Approaches to Pattern Recognition

TL;DR: A pattern analysis system using attributed grammars for pattern classification and description uses a combination of syntactic and statistical pattern recognition techniques, as is demonstrated by illustrative examples and experimental results.
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Software QRS detection in ambulatory monitoring--a review.

TL;DR: This review asserts that most one-channel QRS detectors described in the literature can be considered as having the same basic structure and a discussion of some of the current detection schemes is presented.
Journal ArticleDOI

A Step Towards Unification of Syntactic and Statistical Pattern Recognition

TL;DR: A combined syntactic-semantic approach based on attributed grammars is suggested, intended to be an initial step toward unification of syntactic and statistical approaches to pattern recognition.
Journal ArticleDOI

Assessment of the performance of electrocardiographic computer programs with the use of a reference data base.

TL;DR: The present study demonstrates that to allow an exchange of results and diagnostic criteria between different ECG computer programs, definitions, minimum wave requirements, and measurement procedures urgently need to be standardized.
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