| Presentation | 2023-05-25 Estimation Technique of Carrier to Noise Ratio of Wireless Medical Telemeter Using Soft Defined Radio with Machine Learning Kai Ishida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | I developed a novel machine-learning model to estimate the carrier-to-noise ratio (CNR) of wireless medical telemeter (WMT) using time-domain waveform data measured by a software-defined radio. With automatic estimation of CNR, the management of the electromagnetic environment of WMT can be made easier. Therefore, I proposed a machine-learning method for estimating CNR. According to the performance evaluation results by 5-segment cross-validation on 704 types of measured data, CNR was estimated with 99.5% R-square and 0.844 dB mean absolute error using a gradient boosting regression tree. The gradient boosting decision tree classifiers predicted if the CNR exceeded 30 dB with 99.5% accuracy. The proposed method is effective for investigating electromagnetic environments in hospitals. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Wireless medical telemeter / Carrier-to-noise ratio / Electromagnetic compatibility / Software-defined radio / Machine-Learning |
| Paper # | SAT2023-3,MICT2023-3 |
| Date of Issue | 2023-05-18 (SAT, MICT) |
| Conference Information | |
| Committee | MICT / WBS / RCC / SAT |
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| Conference Date | 2023/5/25(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | TOKYO BIG SIGHT |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Joint Meeting of RCC, WBS, SAT, and MICT |
| Chair | Hirokazu Tanaka(Hiroshima City Univ.) / Takashi Shono(Wind River) / Shunichi Azuma(Nagoya Univ.) / Tetsushi Ikegami(Meiji Univ.) |
| Vice Chair | Chika Sugimoto(Yokohama National Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) / Hiroyasu Ishikawa(Nihon Univ.) / Hideki Ochiai(Yokohama National Univ.) / Shunichi Azuma(Hokkaido Univ.) / Koji Ishii(Kagawa Univ.) / Masashi Kamei(NHK) / Takana Kaho(Shonan Inst. of Tech.) |
| Secretary | Chika Sugimoto(Okayama Pref. Univ.) / Daisuke Anzai(Junshin Gakuen Univ.) / Hiroyasu Ishikawa(Okayama Prefectural Univ.) / Hideki Ochiai(Chiba Univ. of Tech.) / Shunichi Azuma(CRIEPI) / Koji Ishii(Ritsumeikan Univ.) / Masashi Kamei(NTT) / Takana Kaho(NICT) |
| Assistant | Takahiro Ito(Hiroshima City Univ) / Natsuki Nakayama(Nagoya Univ.) / Takuya Nishikawa(National Cerebral and Cardiovascular Center Hospital) / Sun Ran(Ibaraki Univ.) / Chen Na(NAIST) / SHAN LIN(NICT) / Ryosuke Adachi(Yamaguchi Univ.) / Riichiro Nagareda(KDDI Research) / Yuuki Koizumi(NHK) |
| Paper Information | |
| Registration To | Technical Committee on Healthcare and Medical Information Communication Technology / Technical Committee on Wideband System / Technical Committee on Reliable Communication and Control / Technical Committee on Satellite Telecommunications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimation Technique of Carrier to Noise Ratio of Wireless Medical Telemeter Using Soft Defined Radio with Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Wireless medical telemeter |
| Keyword(2) | Carrier-to-noise ratio |
| Keyword(3) | Electromagnetic compatibility |
| Keyword(4) | Software-defined radio |
| Keyword(5) | Machine-Learning |
| 1st Author's Name | Kai Ishida |
| 1st Author's Affiliation | Junshin Gakuen University(Junshin Gakuen Univ.) |
| Date | 2023-05-25 |
| Paper # | SAT2023-3,MICT2023-3 |
| Volume (vol) | vol.123 |
| Number (no) | SAT-49,MICT-50 |
| Page | pp.pp.10-15(SAT), pp.10-15(MICT), |
| #Pages | 6 |
| Date of Issue | 2023-05-18 (SAT, MICT) |