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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages201-204
Number of pages4
ISBN (Electronic)9781538670361
DOIs
Publication statusPublished - 2019 Feb 19
Event4th International Symposium on Computer, Consumer and Control, IS3C 2018 - Taichung, Taiwan
Duration: 2018 Dec 62018 Dec 8

Publication series

NameProceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018

Conference

Conference4th International Symposium on Computer, Consumer and Control, IS3C 2018
CountryTaiwan
CityTaichung
Period18-12-0618-12-08

Fingerprint

Cardiac Arrhythmias
Fractional Order
Screening
Classifiers
Classifier
Color
Irregular
Time-varying
Electrocardiography
Ventricular Arrhythmias
Arrhythmia
Bayesian networks
Bayesian Networks
Power series
Conduction
Waveform
High Efficiency
Time Domain
Timing
Fluctuations

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

Cite this

Lin, C. H., Kan, C-D., Chen, P. Y., Lai, H. Y., Chen, W. L., & Kuo, Y. C. (2019). 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). [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 ; Lai, Hsiang Yueh ; Chen, Wei Ling ; Kuo, Ying Che. / 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., 2019. pp. 201-204 (Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018).
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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.",
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Lin, CH, Kan, C-D, Chen, PY, Lai, HY, Chen, WL & Kuo, YC 2019, 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; Lai, Hsiang Yueh; Chen, Wei Ling; Kuo, Ying Che.

Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 201-204 8644756 (Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lin CH, Kan C-D, 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. 2019. p. 201-204. 8644756. (Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018). https://doi.org/10.1109/IS3C.2018.00058