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

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面201-204
頁數4
ISBN(電子)9781538670361
DOIs
出版狀態Published - 2019 二月 19
事件4th International Symposium on Computer, Consumer and Control, IS3C 2018 - Taichung, Taiwan
持續時間: 2018 十二月 62018 十二月 8

出版系列

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

Conference

Conference4th International Symposium on Computer, Consumer and Control, IS3C 2018
國家Taiwan
城市Taichung
期間18-12-0618-12-08

指紋

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

引用此文

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. 於 Proceedings - 2018 International Symposium on Computer, Consumer and Control, IS3C 2018 (頁 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. 頁 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. 於 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., 頁 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).

研究成果: Conference 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. 於 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