TY - GEN
T1 - Application of learning signal processing system on RBC velocity measurement using laser Doppler technique
AU - Fukuoka, Yutaka
AU - Okada, Eiji
AU - Matsuki, Hideo
AU - Minamitani, Haruyuki
PY - 1990/12/1
Y1 - 1990/12/1
N2 - The application of a learning signal processing system to blood velocity measurement is described. The system has been developed to increase the accuracy of the measurement at low S/N (signal-to-noise) ratio. An artificial neural network learns the pulsatile fluctuation of the velocity in order to predict the succeeding velocity signals adaptively. The velocity of red blood cells (RBCs) in microvessels of rat mesentery was measured by using a microscopic laser Doppler velocimeter. Cardiac pulsation apparently affects the RBC velocity even in arterioles; however, detection of the pulsatile component in the RBC velocity fluctuation using the conventional signal processor is very difficult because of its low S/N ratio. In contrast, the learning signal processing system which is pretrained can detect the component at low S/N ratio.
AB - The application of a learning signal processing system to blood velocity measurement is described. The system has been developed to increase the accuracy of the measurement at low S/N (signal-to-noise) ratio. An artificial neural network learns the pulsatile fluctuation of the velocity in order to predict the succeeding velocity signals adaptively. The velocity of red blood cells (RBCs) in microvessels of rat mesentery was measured by using a microscopic laser Doppler velocimeter. Cardiac pulsation apparently affects the RBC velocity even in arterioles; however, detection of the pulsatile component in the RBC velocity fluctuation using the conventional signal processor is very difficult because of its low S/N ratio. In contrast, the learning signal processing system which is pretrained can detect the component at low S/N ratio.
UR - http://www.scopus.com/inward/record.url?scp=0025553187&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0025553187&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0025553187
SN - 0879425598
T3 - Proceedings of the Annual Conference on Engineering in Medicine and Biology
SP - 1410
EP - 1412
BT - Biomedical Engineering Perspectives
PB - Publ by IEEE
T2 - Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Y2 - 1 November 1990 through 4 November 1990
ER -