Application of artificial neural network approach to the interpretation of the biosignal of diabetic skin microcirculation

Author

Zhang, Q.Y. ; Barbenel, J.C.

Author_Institution

Bioeng. Unit, Strathclyde Univ., Glasgow, UK

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

851

Abstract

The biosignal of skin blood flow can be measured using a laser Doppler flowmeter (LDF) with a PF3 probe. This paper documents the assessment of these biosignals using an artificial neural network (ANN) to diagnose subjects as diabetic or normal. The interpretation of results is based on receiver operating characteristics (ROC) curves and shows that neural networks have advantages which may be regarded as a potential tool in medical decision making

Keywords

Doppler measurement; blood flow measurement; haemorheology; laser applications in medicine; medical signal processing; neural nets; skin; PF3 probe; artificial neural network approach; diabetic skin microcirculation biosignal interpretation; diagnostic tool; laser Doppler flowmeter; medical decision making; medical diagnostic technique; receiver operating characteristics curves; skin blood flow; Artificial neural networks; Blood flow; Diabetes; Heating; Iron; Medical diagnostic imaging; Neural networks; Skin; Tellurium; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575395

Filename

575395