Development of a novel VEP pad contributing to accuracy improvement and popularization of intraoperative VEP monitoring
Project/Area Number |
15K12559
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Medical systems
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Research Institution | Kumamoto University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
丸田 雄一 山口大学, 医学部, 特別医学研究員 (30543970)
|
Co-Investigator(Renkei-kenkyūsha) |
NIWAYAMA Masatsugu 静岡大学, 工学研究科, 准教授 (40334958)
INOUE Takao 山口大学, 医学部付属病院, 講師 (80513225)
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Project Period (FY) |
2015-04-01 – 2017-03-31
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Project Status |
Completed (Fiscal Year 2016)
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Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
Keywords | フレキシブルプリント基板回路 / 視覚誘発電位 / 術中生理検査 / 術中視覚誘発電位モニタリング / 半側視野刺激 / 電子デバイス・機器 / 脳・神経 / リハビリテーション / モニタリング |
Outline of Final Research Achievements |
Visual evoked potential (VEP) is one of the intraoperative monitoring methods to avoid severe postoperative complications such as loss of vision, and is evoked by applying flush light stimulus to the patients retina. In this project, a novel VEP pad which is flexible, disposable, and capable of applying complicated lighting patterns was designed with optical simulation using the Monte-Calro method. The fabricated VEP pad showed capability of visual hemifield stimulation and pupil detection even under eyelid closure.
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Report
(3 results)
Research Products
(6 results)
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[Journal Article] Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features2015
Author(s)
K. Fujiwara, M. Miyajima, T. Yamakawa, E. Abe, Y. Suzuki, Y. Sawada, M. Kano, T. Maehara, K. Ohta, T. Sasai-Sakuma, T. Sasano, M. Matsuura, and E. Matsushima
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Journal Title
IEEE Transactions on Biomedical Engineering
Volume: PP(99)
Issue: 6
Pages: 1-11
DOI
Related Report
Peer Reviewed / Open Access
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[Presentation] Real-Time Epileptic Seizure Prediction System Employing a Wearable HRV Telemeter and a Smartphone2016
Author(s)
Miho Miyajima, Toshitaka Yamakawa, Koichi Fujiwara, Yuriko Sawada, Yoko Suzuki, Erika Abe, Manabu Kano, Satsuki Watanabe, Yoshiko Murata, Yutaka Watanabe, Taketoshi Maehara, Eisuke Matsushima
Organizer
IEEE EMBC 2016
Place of Presentation
オーランド(米国)
Year and Date
2016-08-16
Related Report
Int'l Joint Research
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