Art

J-GLOBAL ID：202002285369518513   Reference number：20A0322475

Inertial gait analysis measurement system for large-scale health checkups

大規模健康診断のための慣性歩行分析測定システム

Author (5)： AZMAN Amir Mukhriz (Graduate School of Science and Technology, Hirosaki University) ,  NAGAI Chikara (Graduate School of Science and Technology, Hirosaki University) ,  SAGAWA Koichi (Graduate School of Science and Technology, Hirosaki University) ,  HIRAKAWA Yuichi (Graduate School of Health Science, Hirosaki University) ,  SAWADA Kaori (Graduate School of Medicine, Hirosaki University)
Material： Journal of Advanced Mechanical Design, Systems, and Manufacturing (Web)  (J Adv Mech Des Syst Manuf (Web))
Volume： 13  Issue： 4  Page： JAMDSM0069(J-STAGE)  Publication year： 2019 
JST Material Number： U0027A  ISSN： 1881-3054  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： large scale ,...
Semi thesaurus term： mental status ,...

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Author keywords (6)： Cognitive impairment ,  Gait parameter ,  Health examination ,  Inertial sensor ,  Mini-mental state examination ,  Motion analysis

JST classification (1)： Biometry  (EL03020C)

Reference (39)：

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• Azman, A. M., Kuga, H., Sagawa, K. and Nagai, C., Fastest gait parameters estimation precision comparison using high-sensitivity and low-sensitivity inertial sensor, IFMBE Proceedings (2017), Vol.67, pp.79-84. DOI: 10.1007/978-981-10-7554-4_13
• Azman, A. M., Nagai, C., Sagawa, K., Hirakawa, Y. and Sawada, K., Predicting possibility of mild cognitive impairment from gait parameter measured using inertial sensor, Conference on Information, Intelligence, and Precision Equipment, 1B03 (2019).

Terms in the title (5)： 大規模 ,  健康診断 ,  慣性 ,  歩行分析 ,  測定システム