Grammar Formalism for ECG Signal Interpretation and Classification

Authors

  • Salah HAMDI Laboratory of Technology ad Medical Imaging (LTIM) Faculty of Medicine of Monastir (FMM) University of Monastir Tunisia
  • Asma BEN ABDALLAH Laboratory of Technology and Medical Imaging (LTIM), Faculty of Medicine of Monastir (FMM), University of Monastir, Ibn Sina City, 5000, Monastir, Tunisia
  • Mohamed Hedi BEDOUI University of Monastir, Ibn Sina City, 5000, Monastir, Tunisia.

Keywords:

ECG (electrocardiogram), RR Distance, Classification, Grammar, Lexical Analysis, Syntactic Analysis

Abstract

This paper shows that the grammar formalism can be pushed to be applied for the description and the classification of electrocardiograms signals (ECG). We will describe an ECG signal as a sequence of tokens based on specific vocabularies and a set of grammatical rules. QRS complexes, RR distances, PR and QT intervals will be calculated. This type of work is intended for medical diagnosis assistance of an ECG signal.

Author Biography

Salah HAMDI, Laboratory of Technology ad Medical Imaging (LTIM) Faculty of Medicine of Monastir (FMM) University of Monastir Tunisia

Laboratory of Technology ad Medical Imaging (LTIM)
Faculty of Medicine of Monastir (FMM)
University of Monastir
Tunisia

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Published

2014-12-26

How to Cite

1.
HAMDI S, BEN ABDALLAH A, BEDOUI MH. Grammar Formalism for ECG Signal Interpretation and Classification. Appl Med Inform [Internet]. 2014 Dec. 26 [cited 2023 Dec. 1];35(4):21-6. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/504

Issue

Vol. 35 No. 4 (2014)

Section

Articles

License

 Creative Commons License
The papers published in the journal are licensed under a Creative Commons Attribution (CC BY 4.0) International License.