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Yoshitomo Sakuma

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2020 – today

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2021
[c6]
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Yuko Okazaki, Yoshitomo Sakuma, Takumi Kobayashi, Chika Sugimoto, Ryuji Kohno:
Stress and Comfort Estimation of Patients Listening a Music while Rehabilitation Training by Machine Learning with Pre-processed Electrocardiogram. ISMICT 2021: 206-210
2020
[c5]
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Yoshitomo Sakuma, Takumi Kobayashi, Chika Sugimoto, Ryuji Kohno:
A Fine-Tuning Method Using Pruning of Recurrent Neural Network for Prediction of the Anesthetic Effects. ISMICT 2020: 1-5

2010 – 2019

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2019
[c4]
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Yukihiro Kinjo, Yoshitomo Sakuma, Takumi Kobayashi, Chika Sugimoto, Ryuji Kohno:
Patient Stress Estimation for Using Deep Learning with RRI Data Sensed by WBAN. ISMICT 2019: 1-4
2018
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Yukihiro Kinjo, Yoshitomo Sakuma, Ryuji Kohno:
Learning and Recognition with Neural Network of Heart Beats Sensed by WBAN for Patient Stress Estimate for Rehabilitation. BODYNETS 2018: 195-201
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Yoshitomo Sakuma, Ryuji Kohno:
A Dynamic Model Estimation Scheme for Model Predictive Control of Anesthesia Using Recurrent Neural Network. ISMICT 2018: 1-5
2017
[c1]
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Yoshitomo Sakuma, Keiko Sameshima, Ryuji Kohno:
An adaptive scheme of controlling dosage and dosing interval in general anesthesia by model predictive control using anesthetic depth model. ISMICT 2017: 77-81

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