| Presentation | 2021-09-24 Study of the Remote Support System for Fetal Health Conditions Using AI Chikahiro Araki, Chiyo Tamamura, Makoto Orisaka, Yoshio Yoshida, Miko Mori, Tatuya Asa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes the method to build a support system for obstetricians to determine the appropriate timing for pregnant mothers to go to the hospital by screening the fetal health conditions (fetal function) from fetal heart rate data which are sent by mothers from home and analyzed by the obstetrician so that those living in remote areas do not have to visit the hospital frequently. In obstetric facilities, obstetricians usually analyze fetal heart rate waveform displayed on the monitor screen of a delivery monitoring device to evaluate fetal function. The method to evaluate the fetal health conditions using multi-variable and multi-order Markov chain probability is proposed and the experimental results are discussed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Remote Diagnosis Support / Sympathetic Activity Index / Parasympathetic Activity Index / Power Spectrum of Heart Rate Variability / Low Frequency (LF) / High Frequency (HF) / Multivariate and Multiple Markov Chain Probability |
| Paper # | US2021-34 |
| Date of Issue | 2021-09-17 (US) |
| Conference Information | |
| Committee | US |
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| Conference Date | 2021/9/24(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Photoacoustics, Ultrasound in medicine, Ultrasonics, etc. |
| Chair | Yoshikazu Koike(Shibaura Inst. of Tech.) |
| Vice Chair | Hikaru Miura(Nihon Univ.) / Kentaro Nakamura(Tokyo Inst. of Tech.) |
| Secretary | Hikaru Miura(Tohoku Univ.) / Kentaro Nakamura(Chiba Univ.) |
| Assistant | Shin Yoshizawa(Tohoku Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Ultrasonics |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of the Remote Support System for Fetal Health Conditions Using AI |
| Sub Title (in English) | Study of the Method to Evaluate for Fetal Health Conditions Using Multi-variable and Multi-order Markov Chain Probability |
| Keyword(1) | Remote Diagnosis Support |
| Keyword(2) | Sympathetic Activity Index |
| Keyword(3) | Parasympathetic Activity Index |
| Keyword(4) | Power Spectrum of Heart Rate Variability |
| Keyword(5) | Low Frequency (LF) |
| Keyword(6) | High Frequency (HF) |
| Keyword(7) | Multivariate and Multiple Markov Chain Probability |
| 1st Author's Name | Chikahiro Araki |
| 1st Author's Affiliation | University of Fukui(Univ. of Fukui) |
| 2nd Author's Name | Chiyo Tamamura |
| 2nd Author's Affiliation | University of Fukui(Univ. of Fukui) |
| 3rd Author's Name | Makoto Orisaka |
| 3rd Author's Affiliation | University of Fukui(Univ. of Fukui) |
| 4th Author's Name | Yoshio Yoshida |
| 4th Author's Affiliation | University of Fukui(Univ. of Fukui) |
| 5th Author's Name | Miko Mori |
| 5th Author's Affiliation | University of Fukui(Univ. of Fukui) |
| 6th Author's Name | Tatuya Asa |
| 6th Author's Affiliation | University of Fukui(Univ. of Fukui) |
| Date | 2021-09-24 |
| Paper # | US2021-34 |
| Volume (vol) | vol.121 |
| Number (no) | US-182 |
| Page | pp.pp.1-6(US), |
| #Pages | 6 |
| Date of Issue | 2021-09-17 (US) |