发明授权
- 专利标题: Method for determining blood pressure utilizing a neural network
- 专利标题(中): 使用神经网络测定血压的方法
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申请号: US119451申请日: 1993-09-09
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公开(公告)号: US5339818A公开(公告)日: 1994-08-23
- 发明人: Phillip D. Baker , Joseph A. Orr , Dwayne R. Westenskow , Timothy P. Egbert
- 申请人: Phillip D. Baker , Joseph A. Orr , Dwayne R. Westenskow , Timothy P. Egbert
- 申请人地址: UT Salt Lake City
- 专利权人: University of Utah Research Foundation
- 当前专利权人: University of Utah Research Foundation
- 当前专利权人地址: UT Salt Lake City
- 主分类号: A61B5/0215
- IPC分类号: A61B5/0215 ; A61B5/022 ; A61B5/087 ; A61M16/00 ; A61B5/00
摘要:
A method and device for indirect, quantitative estimation of blood pressure attributes and similar variable physiological parameters utilizing indirect techniques. The method of practice includes (i) generating a sequence of signals which are quantitative dependent upon the variable parameter, (ii) transmitting and processing the signals within a computer system and associated neural network capable of generating a single output signal for the combined input signals, (iii) directly determining an actual value for the parameter concurrent with the indirect generation of signals of the previous steps, (iv) applying weighting factors within the neural network at interconnecting nodes to force the output signal of the neural network to match the true value of the parameter as determined invasively, (v) recording the input signals, weighting factors and true value as training data within memory of the computer, and (vi) repeating the previous steps to develop sufficient training data to enable the neural network to accurately estimate parameter value upon future receipt of on-line input signals. Procedures are also described for preclassification of signals and artifact rejection. Following training of the neural network, further direct measurement is unnecessary and the system is ready for diagnostic application and noninvasive estimation of parameter values.
公开/授权文献
- USD433964S Strap hook 公开/授权日:2000-11-21
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