| Presentation | 2019-05-24 Fetal state estimation based on Cardiotocogram classification Shota Harada, Hideaki Hayashi, Shunsuke Koga, Daisuke Shigemi, Aayako Shibata, Masayoshi Yoshida, Yasuyuki Hasuo, Seiichi Uchida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Cardiotocogram (CTG) is a recording of fetal heart rate and uterine contraction pressure over time, and is used clinically to determine non-reassuring fetal status. Estimation of fetal state by CTG is done by visual interpretation. Moreover, it is also reported that the fetal state estimation by CTG has high false positive rate. Therefore, it is desirable to devise an algorithm that can estimate the fetal state from CTG with high accuracy. In this paper, CTG classification is performed using Apgar score as a class label for the purpose of clarifying features useful for CTG classification. In this experiment, we use a highly interpretable classifier to work on CTG classification, and clarify useful features for CTG classification. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cardiotocogram / fetal state estimation / apgar score / classification / feature selection |
| Paper # | SIP2019-14,IE2019-14,MI2019-14 |
| Date of Issue | 2019-05-16 (SIP, IE, MI) |
| Conference Information | |
| Committee | SIP / MI / IE |
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| Conference Date | 2019/5/23(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shogo Muramatsu(Niigata Univ.) / Kensaku Mori(Nagoya Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) |
| Vice Chair | Naoyuki Aikawa(TUS) / Kazunori Hayashi(Osaka City Univ) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) / Hideaki Kimata(NTT) / Kazuya Kodama(NII) |
| Secretary | Naoyuki Aikawa(Takushoku Univ.) / Kazunori Hayashi(Hiroshima Univ.) / Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) / Hideaki Kimata(KDDI Research) / Kazuya Kodama(Nagoya Univ.) |
| Assistant | Katsumi Konishi(Hosei Univ.) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) / Kazuya Hayase(NTT) / Yasutaka Matsuo(NHK) |
| Paper Information | |
| Registration To | Technical Committee on Signal Processing / Technical Committee on Medical Imaging / Technical Committee on Image Engineering |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fetal state estimation based on Cardiotocogram classification |
| Sub Title (in English) | |
| Keyword(1) | Cardiotocogram |
| Keyword(2) | fetal state estimation |
| Keyword(3) | apgar score |
| Keyword(4) | classification |
| Keyword(5) | feature selection |
| 1st Author's Name | Shota Harada |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 2nd Author's Name | Hideaki Hayashi |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 3rd Author's Name | Shunsuke Koga |
| 3rd Author's Affiliation | Kyushu Medical Center(Kyushu Medical Center) |
| 4th Author's Name | Daisuke Shigemi |
| 4th Author's Affiliation | Obex Corporation(Obex) |
| 5th Author's Name | Aayako Shibata |
| 5th Author's Affiliation | Yodogawa Christian Hospital(Yodogawa Christian Hospital) |
| 6th Author's Name | Masayoshi Yoshida |
| 6th Author's Affiliation | Hakataminami building Naika Clinic(Hakataminami building Naika Clinic) |
| 7th Author's Name | Yasuyuki Hasuo |
| 7th Author's Affiliation | Kyushu Medical Center(Kyushu Medical Center) |
| 8th Author's Name | Seiichi Uchida |
| 8th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| Date | 2019-05-24 |
| Paper # | SIP2019-14,IE2019-14,MI2019-14 |
| Volume (vol) | vol.119 |
| Number (no) | SIP-49,IE-50,MI-51 |
| Page | pp.pp.61-63(SIP), pp.61-63(IE), pp.61-63(MI), |
| #Pages | 3 |
| Date of Issue | 2019-05-16 (SIP, IE, MI) |