Intelligent arrhythmia detection and classification using ICA

Asad Azemi; Vahid R. Sabzevari; Morteza Khademi; Hossein Gholizade; Arman Kiani; Zeinab S. Dastgheib

doi:10.1109/IEMBS.2006.259292

Intelligent arrhythmia detection and classification using ICA

Asad Azemi, Vahid R. Sabzevari, Morteza Khademi, Hossein Gholizade, Arman Kiani, Zeinab S. Dastgheib

Penn State Brandywine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 Scopus citations

Abstract

In this paper a novel approach for cardiac arrhythmias detection is proposed. The proposed method is based on using Independent Component Analysis (ICA) and wavelet transform to extract important features. Using the extracted features different machine learning classification schemas, MLP and RBF neural networks and K- nearest neighbor, are used to classify 274 instance signals from the MIT-BIH database. Simulations show that multilayer neural networks with Levenberg-Marquardt (LM) back propagation algorithm provide the optimal learning system. We were able to obtain 98.5% accuracy, which is an improvement in comparison with the similar works.

Original language	English (US)
Title of host publication	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages	2163-2166
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2006.259292
State	Published - 2006
Event	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: Aug 30 2006 → Sep 3 2006

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)	0589-1019

Other

Other	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/Territory	United States
City	New York, NY
Period	8/30/06 → 9/3/06

All Science Journal Classification (ASJC) codes

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/IEMBS.2006.259292

Cite this

Azemi, A., Sabzevari, V. R., Khademi, M., Gholizade, H., Kiani, A., & Dastgheib, Z. S. (2006). Intelligent arrhythmia detection and classification using ICA. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 2163-2166). Article 4030184 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.259292

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title = "Intelligent arrhythmia detection and classification using ICA",

abstract = "In this paper a novel approach for cardiac arrhythmias detection is proposed. The proposed method is based on using Independent Component Analysis (ICA) and wavelet transform to extract important features. Using the extracted features different machine learning classification schemas, MLP and RBF neural networks and K- nearest neighbor, are used to classify 274 instance signals from the MIT-BIH database. Simulations show that multilayer neural networks with Levenberg-Marquardt (LM) back propagation algorithm provide the optimal learning system. We were able to obtain 98.5% accuracy, which is an improvement in comparison with the similar works.",

author = "Asad Azemi and Sabzevari, {Vahid R.} and Morteza Khademi and Hossein Gholizade and Arman Kiani and Dastgheib, {Zeinab S.}",

year = "2006",

doi = "10.1109/IEMBS.2006.259292",

language = "English (US)",

isbn = "1424400325",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

pages = "2163--2166",

booktitle = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06",

note = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 ; Conference date: 30-08-2006 Through 03-09-2006",

}

Azemi, A, Sabzevari, VR, Khademi, M, Gholizade, H, Kiani, A & Dastgheib, ZS 2006, Intelligent arrhythmia detection and classification using ICA. in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06., 4030184, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 2163-2166, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 8/30/06. https://doi.org/10.1109/IEMBS.2006.259292

Intelligent arrhythmia detection and classification using ICA. / Azemi, Asad; Sabzevari, Vahid R.; Khademi, Morteza et al.
28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 2163-2166 4030184 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Intelligent arrhythmia detection and classification using ICA

AU - Azemi, Asad

AU - Sabzevari, Vahid R.

AU - Khademi, Morteza

AU - Gholizade, Hossein

AU - Kiani, Arman

AU - Dastgheib, Zeinab S.

PY - 2006

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AB - In this paper a novel approach for cardiac arrhythmias detection is proposed. The proposed method is based on using Independent Component Analysis (ICA) and wavelet transform to extract important features. Using the extracted features different machine learning classification schemas, MLP and RBF neural networks and K- nearest neighbor, are used to classify 274 instance signals from the MIT-BIH database. Simulations show that multilayer neural networks with Levenberg-Marquardt (LM) back propagation algorithm provide the optimal learning system. We were able to obtain 98.5% accuracy, which is an improvement in comparison with the similar works.

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M3 - Conference contribution

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SN - 1424400325

SN - 9781424400324

T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

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Azemi A, Sabzevari VR, Khademi M, Gholizade H, Kiani A, Dastgheib ZS. Intelligent arrhythmia detection and classification using ICA. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 2163-2166. 4030184. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/IEMBS.2006.259292

Intelligent arrhythmia detection and classification using ICA

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