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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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
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
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)