Review of the Current State of Researches on Arrhythmias Analysis Algorithms

Authors

  • A. S. Menlitdinov
  • A. V. Korobeynikov
  • D. Y. Ivashkin

Keywords:

arrhythmia, algorithm, researches review

Abstract

A review of the current state of researches on the cardiac arrhythmias analysis is produced. Various algorithms of arrhythmias detection and classification of Russian and foreign authors are discussed. The conclusion is made about the necessity of using a trained recognition system.

References

Velic M., Padavic I., Car S. Computer Aided ECG Analysis - State of the Art and Upcoming Challenges // IEEE EUROCON 2013 International conference on computer as a tool, 1-4 July 2013. - Zagreb, Croatia. - URL: arxiv.org/abs/ 1306.5096.

Mark R., Moody G. MIT-BIH Arrhythmia Database Directory // Cambridge : Massachusetts Institute of Technology, 1988.

Velic M., Padavic I., Car S. Computer Aided ECG Analysis - State of the Art and Upcoming Challenges // IEEE EUROCON 2013 International conference on computer as a tool, 1-4 July 2013. - Zagreb, Croatia. - URL: arxiv.org/abs/ 1306.5096.

Velic M., Padavic I., Car S. Computer Aided ECG Analysis - State of the Art and Upcoming Challenges // IEEE EUROCON 2013 International conference on computer as a tool, 1-4 July 2013. - Zagreb, Croatia. - URL: arxiv.org/abs/ 1306.5096.

Velic M., Padavic I., Car S. Computer Aided ECG Analysis - State of the Art and Upcoming Challenges // IEEE EUROCON 2013 : International conference on computer as a tool, 1-4 July 2013. - Zagreb, Croatia. - URL: arxiv.org/abs/ 1306.5096.

Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices / S. Gradl, P. Kugler, C. Lohmuller, B. Eskofier // San Diego, CA, Engineering in Medicine and Biology Society (EMBC), 2012 : Annual International Conference of the IEEE. P. 2452-2455.

Коробейников А. В. Разбиение сигнала электрокардиограммы на циклы // Математическое моделирование и интеллектуальные системы. - 2003. - № 1. - С. 60-64.

Барановский А. Л., Немирко А. П. Кардиомониторы. Аппаратура непрерывного контроля ЭКГ. - М. : Радио и связь, 1993. - 247 с.

Tsipouras M. G., Fotiadis D. I., Sideris D. An Arrhythmia Classification System Based on the RR-Interval Signal // Artificial Intelligence in Medicine, 2005. - Vol. 33, Is. 3. - P. 237-250.

Velic M., Padavic I., Car S. Computer Aided ECG Analysis - State of the Art and Upcoming Challenges // IEEE EUROCON 2013 : International conference on computer as a tool, 1-4 July 2013. - Zagreb, Croatia. - URL: arxiv.org/abs/ 1306.5096.

Sheikhzadeh H., Brennan R., So S. Real-Time Cardiac Arrhythmia Detection Using WOLA Fi. - 2007. - No. 1.

Staniczenko P. A., Lee Ch. F., Jones N. S. Rapidly detecting disorder in rhythmic biological signals: A spectral entropy measure to identify cardiac arrhythmias // Physical review. E, Statistical, nonlinear, and soft matter physics. - 2009, 79, 0119115.

Хомяков А. В., Щербаков Г. И. Разработка спектрального метода анализа P-зубца электрокардиограммы для построения портативного анализатора аритмий сердца // Инфокоммуникационные технологии. - 2011. - Т. 9, № 4. - С. 62-67.

Requena-Carrion J., Beltran-Molina F. A., Marques A. G. Relating the spectrum of cardiac signals to the spatiotemporal dynamics of cardiac sources // Biomedical Signal Processing and Control. - 2013. - Vol. 8, Is. 6. - P. 935-944.

Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models / G. de Lannoy, B. Frenay, M. Verleysen, J. Delbeke // 4th European Conference of the International Federation for Medical and Biological Engineering. - Springer Berlin Heidelberg, 2009. - P. 22-25.

Deriving the respiratory sinus arrhythmia from the heartbeat time series using Empirical Mode Decomposition / R. Balocchi, D. Menicucci, E. Santarcangelo, L. Sebastiani, A. Gemignani, B. Ghelarducci, M. Varanini // Chaos, Solitons & Fractals. - 2004. - Vol. 20, Is. 1. - P. 171-177.

Mora L. A., Amaya Jh. E. Effect of Encoding Method on the Distribution of Cardiac Arrhythmias. - URL: arxiv.org/ pdf/1111.5812v1 (дата обращения: 25.09.2015).

ECG arrhythmia recognition via a neuro-SVM-KNN hybrid classifier with virtual QRS image-based geometrical features / M. R. Homaeinezhad, S. A. Atyabi, E. Tavakkoli, H. N. Toosi, A. Ghaffari, R. Ebrahimpour // Expert Systems with Applications. - 2012. - Vol. 39, Is. 2. - P. 2047-2058.

Коробейников А. В. Распознавание образов при анализе формы электрокардиограммы // Математическое моделирование и интеллектуальные системы. - Ижевск : Изд-во ИжГТУ, 2004. - № 1. - С. 45-53.

Коробейников А. В. Алгоритмы и комплексы программ мониторно-компьютерных систем для анализа морфологии и ритма электрокардиограмм : автореф. дис. … канд. техн. наук. - Ижевск : Изд-во ИжГТУ, 2004. - 23 с.

Velic M., Padavic I., Car S. Computer Aided ECG Analysis - State of the Art and Upcoming Challenges // IEEE EUROCON 2013 : International conference on computer as a tool, 1-4 July 2013. - Zagreb, Croatia. - URL: arxiv.org/abs/ 1306.5096.

Automatic ECG Beat Arrhythmia Detection» / M. Bazarghan, Y. Jaberi, R. Amandi, M. Abedi. - URL: arxiv.org/ pdf/1209.0167v3 (дата обращения: 25.09.2015.

Soufan O. M., Arafat S. Arrhythmia Detection using Mutual Information-Based Integration» // WConSC 2011 conference, At San Francisco, CA 94132;

Alwan Y., Cvetkovic Z., Curtis M. J. Classification of Human Ventricular Arrhythmia in High Dimensional Representation Spaces. - URL: arxiv.org/pdf/1312.5354v2 (дата обращения: 25.09.2015).

ECG Arrhythmia Detection Using Fuzzy Classifiers / S. Z. Mahmoodabadi, A. Ahmadian, M. D. Abolhassani, J. Alireazie, P. Babyn // Fuzzy Information Processing Society, 2007. NAFIPS '07 : Annual Meeting of the North American. - San Diego, CA, June 2007. - P. 48-53.

Ozbay Yu., Ceylan R., Karlik B. A fuzzy clustering neural network architecture for classification of ECG arrhythmias // Computers in Biology and Medicine. - 2006. - № 36. - P. 376-388.

Моттль В. В., Мучник И. Б. Лингвистический анализ экспериментальных кривых. - М. : Мир ; ТИИЭР, 1979. - Т. 67, № 5. - С. 12-38.

Менлитдинов А. С., Барков М. А., Коробейников А. В. Алгоритм анализа сердечных аритмий с использованием лингвистического и секвенциального анализа и алгоритма кластеризации Сobweb // Интеллектуальные системы в производстве. - 2013. - № 1. - С. 131-136.

Ge D., Srinivasan N., Krishnan Sh. M. Cardiac arrhythmia classification using autoregressive modeling // BioMedical Engineering OnLine. - 2002.

Velic M., Padavic I., Car S. Computer Aided ECG Analysis - State of the Art and Upcoming Challenges // IEEE EUROCON 2013 : International conference on computer as a tool, 1-4 July 2013. - Zagreb, Croatia. - URL: arxiv.org/abs/ 1306.5096.

Gutierrez R. M., Sandoval L. A. Detecting Stochastic Information of Electrocardiograms. - URL: arxiv.org/pdf/ physics/0307040v1 (дата обращения: 25.09.2015).

On-line apnea-bradycardia detection using hidden semi-Markov models / M. Altuve, G. Carrault, A. Beuchee, P. Pladys, A. I. Hernandez // Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011; 2011:4374-7.

Frenay B., de Lannoy G., Verleysen M. Improving the transition modelling in hidden Markov models for ECG segmentation // 17th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 22-24, 2009.

Fromont E., Quiniou R., Cordier M.-O. Learning rules from multisource data for cardiac monitoring // Aberdeen, UK, 10th Conference on Artificial Intelligence in Medicine, 2005. - P. 484-493.

Fromont E., Quiniou R., Cordier M.-O. Learning rules from multisource data for cardiac monitoring // Aberdeen, UK, 10th Conference on Artificial Intelligence in Medicine, 2005. - P. 484-493.

Сравнение спектрального и автокорреляционного алгоритмов при доплерометрии сердечного ритма плода в кардиотокографии / А. П. Казанцев, С. Г. Гуржин, Ю. Н. Пономарева, В. С. Ралле // Биомедицинская радиоэлектроника. - 2013. - № 7. - С. 56-64.

Deriving the respiratory sinus arrhythmia from the heartbeat time series using Empirical Mode Decomposition / R. Balocchi, D. Menicucci, E. Santarcangelo, L. Sebastiani, A. Gemignani, B. Ghelarducci, M. Varanini // Chaos, Solitons & Fractals. - 2004. - Vol. 20, Is. 1. - P. 171-177.

Krasteva V., Jekova I. Assessment of ECG frequency and morphology parameters for automatic classification of life-threatening cardiac arrhythmias // Physiological Measurement, 26(5):707-23,·2005. (DOI: 10.1088/0967-3334/26/5/011).

Иванушкина Н. Г., Иванько Е. О., Матвеева Н. А. Нейронные сети для распознавания образов поздних потенциалов предсердий // Electronics and communications. - 2013. - № 5. - С. 72-80.

A novel approach for the diagnosis of ventricular tachycardia based on phase space reconstruction of ECG / G. Koulaouzidis, S. Das, G. Cappiello, E.B. Mazomenos, K. Maharatna, J. Morgan // International Journal of Cardiology. - 2014. - Vol. 172, Is. 1. - P. 31-33.

Myocardial infarction classification with multi-lead ECG using hidden Markov models and gaussian mixture models / P.-C. Chang, J.-J. Lin, J.-C. Hsieh, J. Weng // Applied Soft Computing. - 2012. - Vol. 12, No. 10. - P. 3165-3175.

Speech recognition methods applied to biomedical signals processing / D. Novak, M. Aboy, P. Mico, L. Lhotska // Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2004; 1:118-21.

Архипов И. О., Гитлин В. Б., Лузин Д. А. Синхронный с основным тоном двухпроходной алгоритм принятия решения «тон - не тон» // Вестник ИжГТУ. - 2008. - № 4. - С. 150-153.

Temporal and postural variation of 12-lead highfrequency qrs electrocardiographic signals in asymptomatic individuals / P. K. Douglas, N. J. Batdorf, R. T. Evans, A. H. Feiveson, B. Arenare, T. T. Schlegel // Journal of electrocardiology. - 2006. - Vol. 39, № 3. - P. 259-265.

Are arrhythmic hearts more complex? Using skewness and the first-digit phenomenon to identify dynamical transitions in cardiac models / P. Seenivasan, S. Easwaran, S. Sridhar, S. Sinha. - URL: arxiv.org/pdf/1508.00865v1 (дата обращения: 25.09.2015).

Анализ аритмий сердца с позиций «симметрийного подхода» / В. А. Добрых, Т. К. Тен, А. Г. Еремеев, И. Н. Кузьмин, И. В. Уварова // Дальневосточный медицинский журнал. - 2009. - № 3. - С. 110-113.

Published

02.05.2016

How to Cite

Menlitdinov А. С., Korobeynikov А. В., & Ivashkin Д. Б. (2016). Review of the Current State of Researches on Arrhythmias Analysis Algorithms. Vestnik IzhGTU Imeni M.T. Kalashnikova, 19(1), 50–54. Retrieved from https://izdat.istu.ru/index.php/vestnik/article/view/3170

Issue

Section

Radio engineering and communications