Neural-network-based deconvolution simulator for cerebral blood-flow calculation Article

Yen, KK, Wu, FY, Subbarao, W. (1994). Neural-network-based deconvolution simulator for cerebral blood-flow calculation . International Journal of Computers and Applications, 16(1), 43-48.

cited authors

  • Yen, KK; Wu, FY; Subbarao, W

abstract

  • An artificial neural-network design is proposed for solving deconvolution problems by simulating numerical integration functions. The developed network has been successfully employed in calculating cerebral blood-flow rates which are conventionally obtained by solving a convolution integral. The proposed method significantly reduces the processing time and is therefore very promising for real-time applications in a critical-care environment.

authors

publication date

  • December 1, 1994

published in

start page

  • 43

end page

  • 48

volume

  • 16

issue

  • 1