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著作: [柏原 考爾]/Automatic regulation of hemodynamic variables in acute heart failure by a multiple adaptive predictive controller based on neural networks./[Annals of Biomedical Engineering]

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EID
219980
EOID
669343
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0
LastModified
2012年11月5日(月) 11:15:26
Operator
大家 隆弘
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Owner
柏原 考爾
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種別 必須 学術論文(審査論文)
言語 必須 英語
招待 推奨
審査 推奨
カテゴリ 推奨
共著種別 推奨
学究種別 推奨
組織 推奨
著者 必須
  1. 柏原 考爾
    役割 任意
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題名 必須

(英) Automatic regulation of hemodynamic variables in acute heart failure by a multiple adaptive predictive controller based on neural networks.

副題 任意
要約 任意

(英) Automated drug-delivery systems that can tolerate various responses to therapeutic agents have been required to control hemodynamic variables with heart failure. This study is intended to evaluate the control performance of a multiple adaptive predictive control based on neural networks (MAPC(NN)) to regulate the unexpected responses to therapeutic agents of cardiac output (CO) and mean arterial pressure (MAP) in cases of heart failure. The NN components in the MAPC(NN) learned nonlinear responses of CO and MAP determined by hemodynamics of dogs with heart failure. The MAPC(NN) performed ideal control against unexpected (1) drug interactions, (2) acute disturbances, and (3) time-variant responses of hemodynamics [average errors between setpoints (+35 ml kg(-1) min(-1) in CO and +/-0 mmHg in MAP) and observed responses; 6.4, 3.7, and 4.2 ml kg(-1) min(-1) in CO and 1.6, 1.4, and 2.7 mmHg (10.5, 20.8, and 15.3 mmHg without a vasodilator) in MAP] during 120-min closed-loop control. The MAPC(NN) could also regulate the hemodynamics in actual heart failure of a dog. Robust regulation of hemodynamics by the MAPC(NN) was attributable to the ability of on-line adaptation to adopt various responses and predictive control using the NN. Results demonstrate the feasibility of applying the MAPC(NN) using a simple NN to clinical situations.

キーワード 推奨
  1. (英) Animals
  2. (英) Arteries
  3. (英) Blood Pressure
  4. (英) Cardiac Output
  5. (英) Computer Simulation
  6. (英) Dogs
  7. (英) Heart Failure
  8. (英) Humans
  9. (英) Models, Cardiovascular
  10. (英) Neural Networks (Computer)
  11. (英) Predictive Value of Tests
発行所 推奨
誌名 必須 Annals of Biomedical Engineering(Biomedical Engineering Society (BMES).)
(pISSN: 0090-6964, eISSN: 1573-9686)
ISSN 任意 0090-6964
ISSN: 0090-6964 (pISSN: 0090-6964, eISSN: 1573-9686)
Title: Annals of biomedical engineering
Title(ISO): Ann Biomed Eng
Supplier: Kluwer Online
Publisher: Springer
 (NLM Catalog  (Scopus  (CrossRef (Scopus information is found. [need login])
必須 34
必須 12
必須 1846 1869
都市 任意
年月日 必須 2006年 10月 18日
URL 任意
DOI 任意 10.1007/s10439-006-9190-9    (→Scopusで検索)
PMID 任意 17048104    (→Scopusで検索)
NAID 任意
WOS 任意 000242609700004
Scopus 任意
評価値 任意
被引用数 任意
指導教員 推奨
備考 任意
  1. (英) Article.Affiliation: RIKEN, Brain Science Institute, 2-1, Hirosawa, Wako-shi, Saitama, 351-0198, Japan. kojikasi@mail.goo.ne.jp

  2. (英) Article.PublicationTypeList.PublicationType: Journal Article

  3. (英) Article.PublicationTypeList.PublicationType: Research Support, Non-U.S. Gov't

  4. (英) OtherID: PMC1705490