Developing Detection Technique of Arrhythmia using Basic ECG Parameters
Keywords:
Electrocardiogram, Arrhythmia, PR Interval, RR Interval, Heart Rate.Abstract
Arrhythmia is simply known as the irregular or abnormal beating of heart. This paper presents a procedure to extract information from Electrocardiogram (ECG) data and determine types of Arrhythmias. The decisions were achieved by determining different intervals such as PR Interval, RR Interval, Heart Rate (HR) etc. and those intervals were compared with the ideal intervals. During the whole process ECG signals were taken from PhysioBank ATM and Savitzky–Golay filter was used to reduce the noise of the signal. Tachycardias, Bradycardia, Heart Block, Junctional Arrhythmia, Premature Articular Contraction were detected during this analysis and the results show simplified detection of arrhythmia.
References
[1]. Wen Wei and Jerry M. Mendel, “A Fuzzy Logic Method for Modulation Classification in Nonideal Environments”, IEEE Transactions on Fuzzy Systems, Vol. 7, No. 3, June 1999, pp. 333-344.
[2]. Tomoharu Nakashima, Gerald Schaefer, Yasuyuki Yokota, HisaoIshibuchi, “A weighted fuzzy classifier and its application to image processing tasks”, Fuzzy Sets and Systems 158, 2007, pp. 284 – 294.
[3]. Reza Boostani, MojtabaRismanchib, Abbas Khosravani, LidaRashidi, SamanehKouchaki, PayamPeymani, SeyedTaghiHeydari, B. Sabayan, K. B. Lankarani, “Presenting a hybrid method in order to predict the 2009 pandemic influenza A (H1N1)”, Advanced Computing: An International Journal ( ACIJ ), Vol.3, No.1, January 2012, pp. 31-43.
[4]. Ken Nozaki, HisaoIshibuchi and Hideo Tanaka, “Adaptive Fuzzy Rule-Based Classification Systems”, IEEE Transactions on Fuzzy Systems, Vol. 4, No. 3, 1996, pp. 238-250.
[5]. Jia Zeng and Zhi-Qiang Liu, “Type-2 Fuzzy Sets for Pattern Recognition: The State-of-the-Art”, Journal of Uncertain Systems, Vol.1, No.3, 2007, pp. 163-177.
[6]. F. Hoffmann, B. Baesens, J. Martens, F. Put and J. Vanthienen, "Comparing a genetic fuzzy and a Neuro-fuzzy classifier for credit scoring", presented at Int. J. Intell. Syst., 2002, pp. 1067-1083.
[7]. F.M. Schleif, T. Villmann, B. Hammer, “Prototype based Fuzzy Classification in Clinical Proteomics”, International Journal of Approximate Reasoning, 2008, 47(1), pp. 4-16.
[8]. Aaron K. Shackelfordand Curt H. Davis, “A Hierarchical Fuzzy Classification Approach for High-Resolution Multispectral Data Over Urban Areas”, IEEE Transactions on Geo-science And Remote Sensing, Vol. 41, No. 9, September 2003, pp. 1920-1932.
[9]. Benoit Mandelbrot, “How long is the coast of Britain?” Science, New Series, Vol. 156, No. 3775, May 5, 1967, pp. 636-638.
[10]. B. Mandelbrot, “The fractal geometry of nature”, Wh. Freeman, 1983.
[11]. S. Raghav and K. Misra, “Fractal Feature Based ECG Arrhythmia Classification”, IEEE, 2008, pp. 1-5.
[12]. L. Y. Shyu, Y. H. Wu, and W. C. Hu, “Using wavelet transform and fuzzy neural network for VPC detection from the holter ECG,” IEEETrans. Biomed. Eng., vol. 51, no. 7, pp. 1269–1273, Jul. 2004
[13]. Z. Benyd L. Czinege, Computer Analysis of Dynamic Systems with Application in Physiology, Proc IS" Worldcongress of MACS on Scient$c Computation, Modelling and Applied Mathematics.Berlin, 1997. Vol. El. pp. 663-668.
[14]. V. Kecman, Learning and Soft Computing Support vector machines Neural Networks-Fuzzy Logic, MIT, 2001
[15]. HA Guvenir, B Acar, Feature Selection using a Genetic Algorithm forthe detection of abnormal ECG recordings, International Conference onMachineLearning,Florida, 2001.
[16]. ECG Notes Interpretation & Management Guide, Shirley A. Jones
[17]. Online resource for physiologicalSignals. http://www.physionet.org
[2]. Tomoharu Nakashima, Gerald Schaefer, Yasuyuki Yokota, HisaoIshibuchi, “A weighted fuzzy classifier and its application to image processing tasks”, Fuzzy Sets and Systems 158, 2007, pp. 284 – 294.
[3]. Reza Boostani, MojtabaRismanchib, Abbas Khosravani, LidaRashidi, SamanehKouchaki, PayamPeymani, SeyedTaghiHeydari, B. Sabayan, K. B. Lankarani, “Presenting a hybrid method in order to predict the 2009 pandemic influenza A (H1N1)”, Advanced Computing: An International Journal ( ACIJ ), Vol.3, No.1, January 2012, pp. 31-43.
[4]. Ken Nozaki, HisaoIshibuchi and Hideo Tanaka, “Adaptive Fuzzy Rule-Based Classification Systems”, IEEE Transactions on Fuzzy Systems, Vol. 4, No. 3, 1996, pp. 238-250.
[5]. Jia Zeng and Zhi-Qiang Liu, “Type-2 Fuzzy Sets for Pattern Recognition: The State-of-the-Art”, Journal of Uncertain Systems, Vol.1, No.3, 2007, pp. 163-177.
[6]. F. Hoffmann, B. Baesens, J. Martens, F. Put and J. Vanthienen, "Comparing a genetic fuzzy and a Neuro-fuzzy classifier for credit scoring", presented at Int. J. Intell. Syst., 2002, pp. 1067-1083.
[7]. F.M. Schleif, T. Villmann, B. Hammer, “Prototype based Fuzzy Classification in Clinical Proteomics”, International Journal of Approximate Reasoning, 2008, 47(1), pp. 4-16.
[8]. Aaron K. Shackelfordand Curt H. Davis, “A Hierarchical Fuzzy Classification Approach for High-Resolution Multispectral Data Over Urban Areas”, IEEE Transactions on Geo-science And Remote Sensing, Vol. 41, No. 9, September 2003, pp. 1920-1932.
[9]. Benoit Mandelbrot, “How long is the coast of Britain?” Science, New Series, Vol. 156, No. 3775, May 5, 1967, pp. 636-638.
[10]. B. Mandelbrot, “The fractal geometry of nature”, Wh. Freeman, 1983.
[11]. S. Raghav and K. Misra, “Fractal Feature Based ECG Arrhythmia Classification”, IEEE, 2008, pp. 1-5.
[12]. L. Y. Shyu, Y. H. Wu, and W. C. Hu, “Using wavelet transform and fuzzy neural network for VPC detection from the holter ECG,” IEEETrans. Biomed. Eng., vol. 51, no. 7, pp. 1269–1273, Jul. 2004
[13]. Z. Benyd L. Czinege, Computer Analysis of Dynamic Systems with Application in Physiology, Proc IS" Worldcongress of MACS on Scient$c Computation, Modelling and Applied Mathematics.Berlin, 1997. Vol. El. pp. 663-668.
[14]. V. Kecman, Learning and Soft Computing Support vector machines Neural Networks-Fuzzy Logic, MIT, 2001
[15]. HA Guvenir, B Acar, Feature Selection using a Genetic Algorithm forthe detection of abnormal ECG recordings, International Conference onMachineLearning,Florida, 2001.
[16]. ECG Notes Interpretation & Management Guide, Shirley A. Jones
[17]. Online resource for physiologicalSignals. http://www.physionet.org
Downloads
Published
2016-07-23
How to Cite
Ferdous, A. I., Bhuiyan, M. Z. H., Ahmed, A. U., & Faisal, A. M. (2016). Developing Detection Technique of Arrhythmia using Basic ECG Parameters. American Scientific Research Journal for Engineering, Technology, and Sciences, 22(1), 166–175. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/1847
Issue
Section
Articles
License
Authors who submit papers with this journal agree to the following terms.
