Automated screening of multiple cardiac arrhythmias using perceptual color representation-based intelligent classifier

Chia Hung Lin; Chung Dann Kan; Pi Yun Chen; Hsiang Yueh Lai; Wei Ling Chen; Ying Che Kuo

doi:10.1109/IS3C.2018.00058

Automated screening of multiple cardiac arrhythmias using perceptual color representation-based intelligent classifier

Chia Hung Lin, Chung Dann Kan, Pi Yun Chen, Hsiang Yueh Lai, Wei Ling Chen, Ying Che Kuo

Department of Surgery

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

Abstract

Cardiac arrhythmias are time-varying, non-period, irregular, or complex fluctuations in time-domain waveforms, revealing multiple morphologies, including supraventricular, junctional, and ventricular arrhythmias, and conduction abnormalities. Given that visual examinations are time-consuming, this study proposes a screening method for identifying the classes of multiple cardiac arrhythmias using the discrete fractional-order integration (DFOI) and the perceptual color representation-based intelligent classifier. The DFOI operation with the specific fractional order is employed to extract the QRS features with the finite computations and finite power series in a specific timing duration. DFOI can deal with the non-period and irregular time-varying signals. The proposed intelligent classifier consists of Bayesian network and color relation analysis (CRA). This classifier is employed to identify the ectopic classes with perceptual color representation. Using the arrhythmia database of Massachusetts Institute of Technology-Beth Israel Hospital database, the proposed intelligent classifier demonstrated high efficiency in recognizing electrocardiography signals.

Original language	English
Title of host publication	Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	201-204
Number of pages	4
ISBN (Electronic)	9781538670361
DOIs	https://doi.org/10.1109/IS3C.2018.00058
Publication status	Published - 2018 Jul 2
Event	4th International Symposium on Computer, Consumer and Control, IS3C 2018 - Taichung, Taiwan Duration: 2018 Dec 6 → 2018 Dec 8

Publication series

Name	Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018

Conference

Conference	4th International Symposium on Computer, Consumer and Control, IS3C 2018
Country/Territory	Taiwan
City	Taichung
Period	18-12-06 → 18-12-08

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Control and Systems Engineering
Energy Engineering and Power Technology
Computer Science Applications
Control and Optimization
Signal Processing

Access to Document

10.1109/IS3C.2018.00058

Cite this

Lin, C. H., Kan, C. D., Chen, P. Y., Lai, H. Y., Chen, W. L., & Kuo, Y. C. (2018). Automated screening of multiple cardiac arrhythmias using perceptual color representation-based intelligent classifier. In Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018 (pp. 201-204). Article 8644756 (Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IS3C.2018.00058

Lin, Chia Hung ; Kan, Chung Dann ; Chen, Pi Yun et al. / Automated screening of multiple cardiac arrhythmias using perceptual color representation-based intelligent classifier. Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 201-204 (Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018).

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title = "Automated screening of multiple cardiac arrhythmias using perceptual color representation-based intelligent classifier",

abstract = "Cardiac arrhythmias are time-varying, non-period, irregular, or complex fluctuations in time-domain waveforms, revealing multiple morphologies, including supraventricular, junctional, and ventricular arrhythmias, and conduction abnormalities. Given that visual examinations are time-consuming, this study proposes a screening method for identifying the classes of multiple cardiac arrhythmias using the discrete fractional-order integration (DFOI) and the perceptual color representation-based intelligent classifier. The DFOI operation with the specific fractional order is employed to extract the QRS features with the finite computations and finite power series in a specific timing duration. DFOI can deal with the non-period and irregular time-varying signals. The proposed intelligent classifier consists of Bayesian network and color relation analysis (CRA). This classifier is employed to identify the ectopic classes with perceptual color representation. Using the arrhythmia database of Massachusetts Institute of Technology-Beth Israel Hospital database, the proposed intelligent classifier demonstrated high efficiency in recognizing electrocardiography signals.",

author = "Lin, {Chia Hung} and Kan, {Chung Dann} and Chen, {Pi Yun} and Lai, {Hsiang Yueh} and Chen, {Wei Ling} and Kuo, {Ying Che}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th International Symposium on Computer, Consumer and Control, IS3C 2018 ; Conference date: 06-12-2018 Through 08-12-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/IS3C.2018.00058",

language = "English",

series = "Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Lin, CH, Kan, CD, Chen, PY, Lai, HY, Chen, WL & Kuo, YC 2018, Automated screening of multiple cardiac arrhythmias using perceptual color representation-based intelligent classifier. in Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018., 8644756, Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018, Institute of Electrical and Electronics Engineers Inc., pp. 201-204, 4th International Symposium on Computer, Consumer and Control, IS3C 2018, Taichung, Taiwan, 18-12-06. https://doi.org/10.1109/IS3C.2018.00058

Automated screening of multiple cardiac arrhythmias using perceptual color representation-based intelligent classifier. / Lin, Chia Hung; Kan, Chung Dann; Chen, Pi Yun et al.
Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 201-204 8644756 (Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018).

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

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AU - Lin, Chia Hung

AU - Kan, Chung Dann

AU - Chen, Pi Yun

AU - Lai, Hsiang Yueh

AU - Chen, Wei Ling

AU - Kuo, Ying Che

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Cardiac arrhythmias are time-varying, non-period, irregular, or complex fluctuations in time-domain waveforms, revealing multiple morphologies, including supraventricular, junctional, and ventricular arrhythmias, and conduction abnormalities. Given that visual examinations are time-consuming, this study proposes a screening method for identifying the classes of multiple cardiac arrhythmias using the discrete fractional-order integration (DFOI) and the perceptual color representation-based intelligent classifier. The DFOI operation with the specific fractional order is employed to extract the QRS features with the finite computations and finite power series in a specific timing duration. DFOI can deal with the non-period and irregular time-varying signals. The proposed intelligent classifier consists of Bayesian network and color relation analysis (CRA). This classifier is employed to identify the ectopic classes with perceptual color representation. Using the arrhythmia database of Massachusetts Institute of Technology-Beth Israel Hospital database, the proposed intelligent classifier demonstrated high efficiency in recognizing electrocardiography signals.

AB - Cardiac arrhythmias are time-varying, non-period, irregular, or complex fluctuations in time-domain waveforms, revealing multiple morphologies, including supraventricular, junctional, and ventricular arrhythmias, and conduction abnormalities. Given that visual examinations are time-consuming, this study proposes a screening method for identifying the classes of multiple cardiac arrhythmias using the discrete fractional-order integration (DFOI) and the perceptual color representation-based intelligent classifier. The DFOI operation with the specific fractional order is employed to extract the QRS features with the finite computations and finite power series in a specific timing duration. DFOI can deal with the non-period and irregular time-varying signals. The proposed intelligent classifier consists of Bayesian network and color relation analysis (CRA). This classifier is employed to identify the ectopic classes with perceptual color representation. Using the arrhythmia database of Massachusetts Institute of Technology-Beth Israel Hospital database, the proposed intelligent classifier demonstrated high efficiency in recognizing electrocardiography signals.

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ER -

Lin CH, Kan CD, Chen PY, Lai HY, Chen WL, Kuo YC. Automated screening of multiple cardiac arrhythmias using perceptual color representation-based intelligent classifier. In Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 201-204. 8644756. (Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018). doi: 10.1109/IS3C.2018.00058

Automated screening of multiple cardiac arrhythmias using perceptual color representation-based intelligent classifier

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