Presentation | 2022-05-19 Arrhythmia catheter ablation point prediction from ECG and CT image based on machine learning Kazuyuki Ohmura, Kenichiro Yamagata, Kengo Kusano, Nozomu Uetake, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Catheter ablation is the key therapy in treating arrhythmia. For this treatment planning, 3D electroanatomical map is used to find the origin but it needs the direct access to heart with electrode and requires the experience and long time to get detailed information. So if the origin can be predicted with CT image and ECG data before treatment, it improves the quality of treatment. This paper propose the model to predict catheter ablation origin from 12-lead ECG + position of electrodes and CT image. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Arrhythmia / Catheter ablation / CT / ECG / Machine Learning |
Paper # | SIP2022-13,BioX2022-13,IE2022-13,MI2022-13 |
Date of Issue | 2022-05-12 (SIP, BioX, IE, MI) |
Conference Information | |
Committee | SIP / BioX / IE / MI / ITE-IST / ITE-ME |
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Conference Date | 2022/5/19(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kumamoto University Kurokami Campus |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Yukihiro Bandou(NTT) / Hitoshi Imaoka(NEC) / Kazuya Kodama(NII) / Hidekata Hontani(Nagoya Inst. of Tech.) |
Vice Chair | Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Takayuki Nakachi(Ryukyu Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(SECOM) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) / Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) |
Secretary | Toshihisa Tanaka(Xiaomi) / Takayuki Nakachi(Takushoku Univ.) / Masatsugu Ichino(Tokyo Univ. Agri.&Tech.) / Naoyuki Takada(KDDI Research) / Hiroyuki Bandoh(MitsubishiElectric) / Toshihiko Yamazaki(KDDI Research) / Hideaki Haneishi(Nagoya Inst. of Tech.) / Takayuki Kitasaka(Yamaguchi Univ.) / (Univ. of Hyogo) |
Assistant | Taichi Yoshida(UEC) / Seisuke Kyochi(Univ. of Kitakyushu) / Hiroyuki Suzuki(Gunma Univ) / Akihiro Hayasaka(NEC) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST) |
Paper Information | |
Registration To | Technical Committee on Signal Processing / Technical Committee on Biometrics / Technical Committee on Image Engineering / Technical Committee on Medical Imaging / Technical Group on Information Sensing Technologies / Technical Group on Media Engineering |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Arrhythmia catheter ablation point prediction from ECG and CT image based on machine learning |
Sub Title (in English) | |
Keyword(1) | Arrhythmia |
Keyword(2) | Catheter ablation |
Keyword(3) | CT |
Keyword(4) | ECG |
Keyword(5) | Machine Learning |
1st Author's Name | Kazuyuki Ohmura |
1st Author's Affiliation | GE Healthcare Japan Co. Ltd.(GEHCJ) |
2nd Author's Name | Kenichiro Yamagata |
2nd Author's Affiliation | National Cerebral and Cardiovascular Center Department of Cardiovasular Medicine(NCVC) |
3rd Author's Name | Kengo Kusano |
3rd Author's Affiliation | National Cerebral and Cardiovascular Center Department of Cardiovasular Medicine(NCVC) |
4th Author's Name | Nozomu Uetake |
4th Author's Affiliation | GE Healthcare Japan Co. Ltd.(GEHCJ) |
Date | 2022-05-19 |
Paper # | SIP2022-13,BioX2022-13,IE2022-13,MI2022-13 |
Volume (vol) | vol.122 |
Number (no) | SIP-28,BioX-29,IE-30,MI-31 |
Page | pp.pp.71-75(SIP), pp.71-75(BioX), pp.71-75(IE), pp.71-75(MI), |
#Pages | 5 |
Date of Issue | 2022-05-12 (SIP, BioX, IE, MI) |