研究者詳細 - 藤原　幸一

論文 - 藤原　幸一

分割表示 95 件中 61 - 80 件目／全件表示 >>

Regression and independence based variable importance measure 査読有り国際誌

Zhang, XM; Wada, T; Fujiwara, K; Kano, M

COMPUTERS & CHEMICAL ENGINEERING 135 巻 ( 6 ) 頁： 106757 2020年4月

Sleep Spindle Detection Using RUSBoost and Synchrosqueezed Wavelet Transform 査読有り国際誌

Kinoshita, T; Fujiwara, K; Kano, M; Ogawa, K; Sumi, Y; Matsuo, M; Kadotani, H

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 28 巻 ( 2 ) 頁： 390 - 398 2020年2月

心拍変動を用いた運動中のイヌの情動評価の試み査読有り

村山未来, 永澤美保, 片山真希, 池田和司, 久保孝富, 山川俊貴, 藤原幸一, 菊水健史

動物心理学研究 70 巻 ( 1 ) 頁： 15 - 18 2020年

Obstructive sleep apnea screening by heart rate variability-based apnea/normal respiration discriminant model 査読有り国際誌

Nakayama, C; Fujiwara, K; Sumi, Y; Matsuo, M; Kano, M; Kadotani, H

PHYSIOLOGICAL MEASUREMENT 40 巻 ( 12 ) 頁： 125001 - 125001 2019年12月

Views of patients with epilepsy on wearable seizure prediction system; impact of two different type of devices on sleep quality 査読有り

M. Miyajima, T. Yamakawa, K. Fujiwara, T. Seki, T. ohno, M. Iimori, M. Inaji, H. Osoegawa, M. Kano, T. Maehara

Sleep Medicine 64 巻 2019年12月

医師患者関係のトラスト構築に向けたAI活用の可能性査読有り

藤田卓仙, 江間有沙, 近藤諭, 藤原幸一, 中谷内一也, 尾藤誠司

医療情報学連合大会論文集 39回巻頁： 126 - 128 2019年11月

Emotional Contagion From Humans to Dogs Is Facilitated by Duration of Ownership 招待有り査読有り

M. Katayama, T. Kubo, T. Yamakawa, K. Fujiwara, K. Nomoto, K. Ikeda, K. Mogi, M. Nagasawa and T. Kikusui

Frontiers in Psychology 10 巻頁： 1678 2019年7月

Development of a Sleep Apnea Detection Algorithm Using Long Short-Term Memory and Heart Rate Variability 査読有り国際誌

Ayako Iwasaki, Chikao Nakayama, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani

Annu Int Conf IEEE Eng Med Biol Soc. 2019 巻頁： 3964 - 3967 2019年7月

Emotional Contagion From Humans to Dogs Is Facilitated by Duration of Ownership 査読有り国際誌

M. Katayama, T. Kubo, T. Yamakawa, K. Fujiwara, K. Nomoto, K. Ikeda, K. Mogi, M. Nagasawa, T. Kikusui

Frontiers in Psychology 10 巻頁： 1678 - 1678 2019年7月

Missing RRI Interpolation Algorithm based on Locally Weighted Partial Least Squares for Precise Heart Rate Variability Analysis 査読有り国際誌

Kamata, K; Fujiwara, K; Kinoshita, T; Kano, M

SENSORS 18 巻 ( 11 ) 頁： 3870 2018年11月

Deniosing Autoencoder-based Modification of RRI data with Premature Ventricular Contraction for Precise Heart Rate Variability Analysis 査読有り

Shota Miyatani, Koichi Fujiwara, Manabu Kano

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2018-July 巻頁： 5018 - 5021 2018年10月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© 2018 IEEE. The fluctuation of an RR interval (RRI) on an electrocardiogram (ECG) is called heart rate variability (HRV). HRV reflects the autonomic nerve activity, thus HRV analysis has been used for health monitoring such as stress estimation, drowsiness detection, epileptic seizure prediction, and cardiovascular disease diagnosis. However, RRI and HRV features are easily affected by arrhythmia, which deteriorates the health monitoring performance. Premature ventricular contraction (PVC) is common arrhythmia that many healthy persons have. Thus, a new methodology for dealing with RRI fluctuation disturbed by PVC needs to be developed for realizing precise health monitoring. To modify RRI data affected by PVC, the present work proposes a new method based on a denoising autoencoder (DAE), which reconstructs original input data from the noisy input data by using a neural network. The proposed method, referred to as DAE-based RRI modification (DAERM), aims to correct the disturbed RRI data by regarding PVC as artifacts. The present work demonstrated the usefulness of the proposed DAE-RM through its application to real RRI data with artificial PVC (PVC-RRI). The result showed that DAE-RM successfully modified PVC-RRI data. In fact, the root means squared error (RMSE) of the modified RRI was improved by 83.5% from the PVC-RRI. The proposed DAERM will contribute to realizing precise HRV-based health monitoring in the future.

DOI： 10.1109/EMBC.2018.8513218

Scopus

PubMed

Is hemifacial spasm affected by changes in the heart rate? A study using heart rate variability analysis 査読有り国際誌

Hamasaki, T; Morioka, M; Fujiwara, K; Nakayama, C; Harada, M; Sakata, K; Hasegawa, Y; Yamakawa, T; Yamada, K; Mukasa, A

CLINICAL NEUROPHYSIOLOGY 129 巻 ( 10 ) 頁： 2205 - 2214 2018年10月

Nearest Correlation-Based Input Variable Weighting for Soft-sensor Design, Frontiers in Chemistry 査読有り国際誌

K. Fujiwara, M. Kano

Frontiers in Chemistry 頁： . 2018年5月

Design of false heart rate feedback system for improving game experience 査読有り

Sayaka Ogawa, Koichi Fujiwara, Toshitaka Yamakawa, Erika Abe, Manabu Kano

2018 IEEE International Conference on Consumer Electronics, ICCE 2018 2018-January 巻頁： 1 - 4 2018年3月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© 2018 IEEE. When players are excited by playing a video game, corresponding physiological responses such as sweating or changes in heart rate may appear. It is assumed that presenting physiological responses during game play to players in real-time alters their game experience even when they play the same game. Based on this assumption, this work investigated the effect of false heart rate (HR) feedback on game experience through experiments using a simple action game. Our experimental results indicated that false HR feedback not only prevented the players from becoming tired of the game but also enhanced players' experiences. In addition, a new game controller that can present HR information audibly and tactually was developed for realizing a game system based on false HR feedback.

DOI： 10.1109/ICCE.2018.8326254

Scopus

CFD-Based Design of Focal Brain Cooling System for Suppressing Epileptic Seizures 査読有り

Kei Hata, Takuto Abe, Takao Inoue, Koichi Fujiwara, Takatomi Kubo, Toshitaka Yamakawa, Sadahiro Nomura, Hirochika Imoto, Michiyasu Suzuki, Manabu Kano

Computer Aided Chemical Engineering 44 巻頁： 2089 - 2094 2018年1月

記述言語：英語掲載種別：論文集(書籍)内論文

© 2018 Elsevier B.V. Epilepsy is a group of neurological disorders which is caused by excessive neuronal activities in cerebrum and characterized by recurrent seizures. A quarter of patients have intractable epilepsy and do not become seizure-free with medication. We are developing an implantable and wearable focal brain cooling system, which enables the patients to lead ordinary daily life. The system cools the epileptic focus, where the excessive neuronal activities begin, by delivering cold saline to a cranially implanted cooling device. In this research, we developed a whole system model through the first principles and animal experiments. The results of system design have shown that a cooling device with more complex channel structure achieves higher temperature uniformity in the brain with lower flow rate of saline. The optimal structure was derived by taking account of the trade-off between pressure drop and temperature uniformity. In addition, the results have demonstrated that the cooling duration is less than 10 minutes for the average temperature 2 mm below the cooling device (inside the brain) to reach 25 °C; it is short enough to cool the brain after seizure is predicted by existing electroencephalogram (EEG)-based algorithms. Moreover, the frequency of battery charging would be once in several days for most patients.

DOI： 10.1016/B978-0-444-64241-7.50343-8

Scopus

Validation of HRV-based drowsy-driving detection method with EEG sleep stage classification 査読有り

T. Yamakawa, K. Fujiwara, T. Hiraoka, M. Kano, Y. Sumi, F. Masuda, M. Matsuo, H. Kadotani

Sleep Medicine (Proc. of World Sleep Congress) 40 巻頁： e352 - e352 2017年12月

Seizure prediction in localization-related epilepsy by heart rate variability monitoring 査読有り国際誌

Miyajima M, Fujiwara K, Toshitaka Y, Yoko S, Sasai-Sakuma T, Kano M, Maehara T, Watanabe Y, Watanabe S, Murata Y, Sasano T, Eisuke M

JOURNAL OF THE NEUROLOGICAL SCIENCES 381 巻頁： 554 - 555 2017年10月

A new infarction detection method based on heart rate variability in rat middle cerebral artery occlusion model 査読有り

Kodata T, Kamata K, Fujiwara K, Kano M, Yamakawa T, Yuki I, Murayama Y

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 頁： 3061 - 3064 2017年9月

Design of focal brain cooling system for suppressing epileptic seizures 査読有り

Kei Hata, Koichi Fujiwara, Manabu Kano, Takao Inoue, Sadahiro Nomura, Hirochika Imoto, Michiyasu Suzuki

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 頁： 283 - 286 2017年9月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

? 2017 IEEE. Epilepsy is a group of diseases caused by excessive neuronal activities, and one-quarter of the patients do not become seizure-free by the existing treatments. The potential treatments include focal brain cooling, which aims to cool the region where the excessive neuronal activities begin. We are developing a focal brain cooling system. The system delivers cold saline to a cranially implanted cooling device. The outflow is cooled by a Peltier device and pumped for circulation. The Peltier device and the pump are activated only when a seizure is predicted. In this research, the length of time for cooling the brain was calculated with a computational fluid dynamics (CFD)-based model of the focal brain cooling system. As a result, it takes less than 10 minutes for the average temperature 2 mm below the cooling device to reach 25.0 °C. It is much shorter than the time from seizure prediction to seizure onset when an existing algorithm for prediction is used.

DOI： 10.1109/EMBC.2017.8036817

Web of Science

Scopus

PubMed

Development of correlation-based process characteristics visualization method and its application to fault detection 査読有り

Koichi Fujiwara, Manabu Kano

IEEE International Conference on Control and Automation, ICCA 頁： 940 - 945 2017年8月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

? 2017 IEEE. Although process monitoring is important for maintaining safety and product quality, it is difficult to understand process characteristics particularly when they are changing. Since the correlation among variables changes due to changes in process characteristics, process data visualization based on the correlation among variables helps process characteristic understanding. In the present work, a new correlation-based data visualization method is proposed by integrating joint decorrelation (JD) and stochastic proximity embedding (SPE). JD is a blind source separation (BSS) method that can separates sample based on the correlation, and SPE is a self-organizing algorithm that can map high-dimensional data to a two-dimensional plane. The proposed method, referred to as JD-SPE, separates samples based on the correlation using JD and the separated samples are visualized in the two-dimensional plane by SPE. Correlation matrices have to be constructed before sample separation for JD; however how to construct them is not clear. The present work also proposes a correlation matrix construction method for JD by using nearest correlation spectral clustering (NCSC), which is a correlation-based clustering method. In addition, a new process monitoring method based on multivariate statistical process control (MSPC) which is a well-known process monitoring algorithm and JD-SPE. This monitoring method is referred to as JD-SPE-r 2 . The proposed JD-SPE-Γ 2 can detect a fault that can not detected by the conventional MSPC. The usefulness of the proposed methods is demonstrated through numerical examples.

DOI： 10.1109/ICCA.2017.8003187

Scopus

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