Rchr
J-GLOBAL ID:200901017921292544   Update date: Sep. 12, 2024

Bu Nan

ブ ナン | Bu Nan
Affiliation and department:
Research field  (1): Cognitive sciences
Research keywords  (6): パターン認識 ,  時系列解析 ,  ニューラルネット、生体信号 ,  Pattern recognition ,  Bioelectric Signal ,  Nerral Net
Research theme for competitive and other funds  (5):
  • 2019 - 2024 ウェアラブルヘルスモニタリングに向けたマルチスケール心拍変動解析・評価技術の開発
  • 2019 - 2022 Spatial recognition based on deep learning and its application to sensory integrated myoelectric hand
  • 2012 - 2015 Research on a Markerless Infant Movement Monitoring System
  • 2008 - 2009 A Study on Intention Estimation using a Film Muscle Movement Sensor
  • ・ニューラルネット ・生体信号 ・時系列解析 ・パターン認識
Papers (75):
  • Nan Bu. Investigation on Multi-lag Poincare Plot Expression in Mental Stress Evaluation with Ultra-short HRV Data. Proc. of The Twenty-Eighth International Symposium on Artificial Life and Robotics 2023. 2023. 410-414
  • Shogo Morita, Nan Bu. A Research on Force Estimation from EMG with a CNN-based Deep Model. Journal of Bioinformatics and Neuroscience. 2022. 8. 1. 418-424
  • Nan Bu, Shogo Morita. EMG-based Force Estimation with a CNN Deep Model during Biceps Curl Exercise. 2022 7th International Conference on Intelligent Informatics and Biomedical Science (ICIIBMS). 2022. 370-374
  • Nan Bu, Masato Uehara. Heart Rate Variability Measurement in a Wearable Device using Low Sampling Rates. 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech). 2022. 259-262
  • N. Bu, M. Fukami, O. Fukuda. Pattern recognition of mental stress levels from differential RRI time series using LSTM networks. Proc. of 2021 IEEE 3nd Global Conf. on Life Sciences and Technologies (LifeTech 2021). 2021. 412-415
more...
MISC (11):
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Lectures and oral presentations  (3):
  • ウェアラブルヘルスケアの時代に何を身に着けよう!?
    (くまもと有機エレクトロニクス産業促進協議会講演会 2019)
  • An experimental study on sealing performance of a novel SUS316L metal gasket under 70 MPa hydrogen gas environment
    (5th International Symposium on Advanced Fluid/Solid Science and Technology in Experimental Mechanics 2010)
  • EEG discrimination using wavelet packet transform and a reduced-dimensional recurrent neural network
    (10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2010) 2010)
Education (1):
  • Hiroshima University
Professional career (1):
  • 博士(工学) (広島大学)
Work history (3):
  • 2007/08 - 2010/03 産業技術総合研究所 生産計測技術研究センター 研究員
  • 2005/10 - 2007/07 産業技術総合研究所 実環境診断ラボ 研究員
  • 2005/04 - 2005/09 Hiroshima University Graduate School of Engineering, Artificial Complex Systems Engineering
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