Modelling of the electrocardiographic signal during an angioplasty procedure in the right coronary artery
| Autor: | Fernando Juan Ingallina, Anderson Iván Rincón Soler, Pedro David Arini, Carolina Fernández Biscay, Maria Paula Bonomini |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
RIGHT CORONARY ARTERY OCCLUSION
medicine.medical_specialty Heartbeat Heart disease Remote patient monitoring Computer science medicine.medical_treatment Coronary Disease INGENIERÍAS Y TECNOLOGÍAS ECG PARAMETERS 030204 cardiovascular system & hematology Signal Standard deviation ECGSYN 03 medical and health sciences QRS complex Electrocardiography 0302 clinical medicine Angioplasty Internal medicine medicine.artery medicine Humans cardiovascular diseases 030212 general & internal medicine Angioplasty Balloon Coronary Ingeniería Médica Monitoring Physiologic REVERSIBLE MYOCARDIAL ISCHEMIA medicine.disease Coronary Vessels Right coronary artery Cardiology ECG DYNAMICAL MODELLING Cardiology and Cardiovascular Medicine |
| Zdroj: | Journal of electrocardiology. 62 |
| ISSN: | 1532-8430 |
| Popis: | Dynamical models are useful tools to generate sets of varied morphological signals by synthesizing human electrocardiograms (ECGs). These signals are used for testing and improving algorithms of ECG delineation, patient monitoring and heart disease detection. This work presents a procedure based on the ECGSYN model to synthesize ECG morphological changes induced by a percutaneous transluminal coronary angioplasty (PTCA) procedure in the right coronary artery. We provide a set of parameters to be used in ECGSYN and generate heartbeats with altered ST-T complexes. These characteristic model parameters were obtained through a non-linear fitting algorithm applied to every available heartbeat. To extend these parameters, normal distributions were generated with their means and standard deviations obtained from the STAFF III database. Parameters were presented for P, QRS and T-waves at leads II, III and aVF. The synthesis procedure shows an average correlation and positive predictive value of 92.2% and 88.2%, respectively. In conclusion, we provide a technique capable of synthesizing electrocardiographic ischemic morphology with physiological plausibility. Then, the generation of data sets for algorithm testing can benefit from this system of ECG signal synthesis. Fil: Rincon Soler, Anderson Ivan. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina Fil: Bonomini, Maria Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina Fil: Fernández Biscay, Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina Fil: Ingallina, Fernando Juan. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Médicas; Argentina Fil: Arini, Pedro David. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect