Grammatic representation of beat sequences for fuzzy arrhythmia diagnosis |
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| Institution: | 1. Dept. Electrónica, Facultad de Fisica, Universidad de Santiago, Madrid, Spain;2. Dept. Ing. Electromecánica, ETSII de Cartagena, Universidad de Murcia, Madrid, Spain;3. Dept. Informática y Aut. Facultad de Fisica. UNED, Madrid Spain;1. Universitary hospital Robert-Debré, université de Paris, Clinical epidemiology unit, Inserm ECEVE, 1123 Paris, France;2. Institut Curie, patiente partenaire, UTEP, 26, rue d’Ulm, 75005 Paris, France;3. Pain unit, DISSPO, douleur et soins palliatifs, universitary comprehensive cancer institut, Institut Curie, Paris, France;1. Institute of Thermal Technology, Silesian University of Technology, Konarskiego 22, 44-100 Gliwice, Poland;2. SBB ENERGY S.A., Łowicka 1, 45-324 Opole, Poland;1. Ege University, Institute of Health Sciences, Department of Stem Cell, 35100 Izmir, Turkey;2. Manisa State Hospital, Department of Allergy and Clinical Immunology, 45000 Manisa, Turkey;3. Celal Bayar University, Medical School, Department of Internal Medicine, Division of Allergy and Clinical Immunology, 45050 Manisa, Turkey;4. Eskişehir Osmangazi University, Cellular Therapy and Stem Cell Production Application and Research Center, 26480 Eskişehir, Turkey;5. Kocaeli University, Stem Cell and Gene Therapies Research and Application Center, 41000 Kocaeli, Turkey;6. Liv Hospital, Center of Regenerative Medicine and Stem Cell Research, 34000 Istanbul, Turkey;7. Istinye University, Medical School, Department of Histology and Embryology, 34000 Istanbul, Turkey;1. Rice and Product Ecophysiology, Key Laboratory of Ministry of Education for Crop Physiology and Molecular Biology, Hunan Agricultural University, Changsha, 410128, China;2. Hengyang Academy of Agricultural Sciences, Hengyang, 421101, China |
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| Abstract: | The final stage of a system for automatic monitoring of cardiac arrhythmias is the diagnosis of the rhythm or arrhythmia present in the patient during the monitoring process. In this paper we approach the detection process by means of the analysis of the electrocardiographic signal (ECG) on a surface lead produced by those arrhythmias which can be recognized by identifying specific beat sequences and taking into account contextual information, mainly rhythm information. We have developed a diagnosis process for arrhythmias which uses a fuzzy classification of beats according to their etiology or focus of origin. The process we describe permits a more adequate consideration by the user of the arrhythmias diagnosed by the system, mainly in those cases in which the information derived from ECG analysis is not determinant. |
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