DocumentCode :
307735
Title :
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
Link To Document :
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