Syntactic recognition of ECG signals by attributed finite automata
| Autor: | Antti Koski, Martti Juhola, Merik Meriste |
|---|---|
| Rok vydání: | 1995 |
| Předmět: |
Finite-state machine
Parsing Computer science Speech recognition String (computer science) Data_CODINGANDINFORMATIONTHEORY Syntactic pattern recognition computer.software_genre Syntax Automaton TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES ComputingMethodologies_PATTERNRECOGNITION Artificial Intelligence Signal Processing Pattern recognition (psychology) ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Computer Vision and Pattern Recognition Ecg signal computer Software |
| Zdroj: | Pattern Recognition. 28:1927-1940 |
| ISSN: | 0031-3203 |
| DOI: | 10.1016/0031-3203(95)00052-6 |
| Popis: | A syntactic pattern recognition method of electrocardiograms (ECG) is described in which attributed automata are used to execute the analysis of ECG signals. An ECG signal is first encoded into a string of primitives and then attributed automata are used to analyse the string. We have found that we can perform fast and reliable analysis of ECG signals by attributed automata. |
| Databáze: | OpenAIRE |
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