• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Identification of the pCOィイD22ィエD2 control system using a nonlinear autoregressive moving average model

Research Project

Project/Area Number 09680861
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Biomedical engineering/Biological material science
Research InstitutionKitasato University

Principal Investigator

NOSHIRO Makoto  Kitasato Univerisity, School of Allied Health Sciences , Professor, 医療衛生学部, 教授 (80014231)

Co-Investigator(Kenkyū-buntansha) TANAKADATE Akihiro  Kitasato Univerisity, School of Allied Health Sciences , Associate Professor, 医療衛生学部, 助教授 (20265747)
SAKAMOTO Katsuyuki  Kitasato Univerisity, School of Allied Health Sciences , Associate Professor, 医療衛生学部, 助教授 (50053674)
WATANABE Satoshi  Kitasato Univerisity, School of Allied Health Sciences , Professor, 医療衛生学部, 教授 (40050463)
NEBUYA Satoru  Kitasato Univerisity, School of Allied Health Sciences , Instructor, 医療衛生学部, 助手 (00276180)
Project Period (FY) 1997 – 1999
Project Status Completed (Fiscal Year 1999)
Budget Amount *help
¥3,300,000 (Direct Cost: ¥3,300,000)
Fiscal Year 1999: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 1998: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 1997: ¥1,600,000 (Direct Cost: ¥1,600,000)
KeywordsSystem identification / nonlinear system / NARMAX model / neural network / partial pressure of COィイD22ィエD2 / respiratory system / ニューラルネットワーク / ニューラルネット
Research Abstract

Three mass-flow controllers operated by a personal computer made a gas mixture of NィイD22ィエD2, OィイD22ィエD2 and COィイD22ィエD2, which was given to subjects. Respiratory flow and pCOィイD22ィエD2 was recorded so that minute volume (input of the system) and end-tidal pCOィイD22ィエD2 (output of the system) could be obtained. These two variables were used for system identification. The previously proposed method for system identification was improved: the slope of sigmoid functions in the neural network was varied for each unit, the sigmoid functions were expanded around the threshold in place of zero and a model for noises was added to the neural network model.

Report

(4 results)
  • 1999 Annual Research Report   Final Research Report Summary
  • 1998 Annual Research Report
  • 1997 Annual Research Report
  • Research Products

    (6 results)

All Other

All Publications (6 results)

  • [Publications] 根武谷吾、野城真理他: "非線形自己回帰移動平均モデルによる炭酸ガス分圧制御系のシステム同定"第12回生体・生理工学シンポジウム論文集. 129-132 (1997)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 福岡豊、根武谷吾、野城真理: "3層ニューラルネットワークによりNARMAXモデルのパラメータ推定法の改良"第14回生体・生理工学シンポジウム論文集. 327-330 (1999)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] S.Nebuya, M.Noshiro et al.: "Identification of the pCOィイD22ィエD2 control system in humans Using NARMAX models"Proceedings of the 12th Symposium on Biological and Physiological Engineering.

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] Y.Fukuoka, S.Nebuya and M.Noshiro: "Improvement of a paraneter estimation method for the NARMAX model using a 3-layered neural network"Proceedings of the 12th Symposium on Biological and Physiological Engineering.

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 福岡豊、根武谷吾、野城真理: "3層ニューラルネットワークによるNARMAXモデルのパラメータ推定法の改良"第14回生体・生理工学シンポジウム論文集. 327-330 (1999)

    • Related Report
      1999 Annual Research Report
  • [Publications] 根武谷 吾,野城真理 他: "非線形自己回帰移動平均モデルによる炭酸ガス分圧制御系のシステム同定" 第12回生体・生理工学シンポジウム論文集. 129-132 (1997)

    • Related Report
      1997 Annual Research Report

URL: 

Published: 1997-04-01   Modified: 2016-04-21  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi