Patent · US Expired

Method for determining blood pressure utilizing a neural network

US5339818A · kind A · utility

134Cited by
29References
13Claims
0Family size

Assignee

Inventors

Key dates

Filing dateSep 9, 1993
Grant dateAug 23, 1994
Priority date
Expiry dateSep 9, 2013

Classification

  • Technology area (CPC Y)Emerging Cross-Sectional Technologies
  • CPC primaryY10S706/924
  • WIPO fieldMedical technology
  • WIPO sectorInstruments

Abstract

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. Follo…

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.