Presentation 2021-07-02
Research on CNN-based automatic diagnosis support for electro-cardiogram
Yoshiyuki Honda, Akihiro Fujii, Hiroyasu Shimizu,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, we proposed a method to determine normal and abnormal ECG waveforms and to classify them into multiple classes. In this method, the ECG is not treated as time-series waveform data, but as two-dimensional waveform image data, and classified. We used four classes from the MIT-BIH arrhythmia database: N class, VEB class, SVEB class, and F class, and classified them using CNN, VGG16, VGG19, and ResNet. The maximum accuracy was achieved with VGG16 and VGG19. 99.22% of sensitivity, 99.52% of specificity, and 99.3% of accuracy were obtained.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) ECG / CNN / MIT-BIH
Paper # NLC2021-2
Date of Issue 2021-06-25 (NLC)

Conference Information
Committee NLC / IPSJ-ICS
Conference Date 2021/7/2(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Application of natural language processing and intelligent systems, and general topic of NLP
Chair Kazutaka Shimada(Kyushu Inst. of Tech.)
Vice Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Takeshi Kobayakawa(NHK)
Secretary Mitsuo Yoshida(Univ. of Tokyo) / Takeshi Kobayakawa(Hiroshima Univ. of Economics)
Assistant Kanjin Takahashi(Sansan) / Ko Mitsuda(NTT)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Intelligence and Complex Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Research on CNN-based automatic diagnosis support for electro-cardiogram
Sub Title (in English)
Keyword(1) ECG
Keyword(2) CNN
Keyword(3) MIT-BIH
1st Author's Name Yoshiyuki Honda
1st Author's Affiliation *(*)
2nd Author's Name Akihiro Fujii
2nd Author's Affiliation Hosei University(Hosei Univ.)
3rd Author's Name Hiroyasu Shimizu
3rd Author's Affiliation *(*)
Date 2021-07-02
Paper # NLC2021-2
Volume (vol) vol.121
Number (no) NLC-82
Page pp.pp.7-12(NLC),
#Pages 6
Date of Issue 2021-06-25 (NLC)