An attribute grammar for QRS detection
Pattern Recognition
Syntactic ECG processing: a review
Pattern Recognition
Attribute grammar paradigms—a high-level methodology in language implementation
ACM Computing Surveys (CSUR)
Temporal granulation and its application to signal analysis
Information Sciences—Informatics and Computer Science: An International Journal
Combined entropy based method for detection of QRS complexes in 12-lead electrocardiogram using SVM
Computers in Biology and Medicine
Efficient reconfigurable embedded parsers
Computer Languages, Systems and Structures
Fault detection and isolation based on fuzzy automata
Information Sciences: an International Journal
Modelling ECG signals with hidden Markov models
Artificial Intelligence in Medicine
A platform for the automatic generation of attribute evaluation hardware systems
Computer Languages, Systems and Structures
Syntactic recognition of ECG signals by attributed finite automata
Pattern Recognition
Computation of QRS vector of ECG signal for observation of it's clinical significance
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Early warning of cardiac problems in a crowd
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
A new method for ECG signal feature extraction
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
On the complexity of regular-grammars with integer attributes
Journal of Computer and System Sciences
Empirical mode decomposition based ECG enhancement and QRS detection
Computers in Biology and Medicine
Artificial Intelligence in Medicine
Syntactic reasoning and pattern recognition for analysis of coronary artery images
Artificial Intelligence in Medicine
A virtual reality toolkit for the diagnosis and monitoring of myocardial infarctions
VG'05 Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics
Efficient buffer management for piecewise linear representation of multiple data streams
Proceedings of the 21st ACM international conference on Information and knowledge management
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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.