Title
Adaptive network-based fuzzy inference system for assessment of lower limb peripheral vascular occlusive disease.
Abstract
Detecting lower limb peripheral vascular occlusive disease (PVOD) early is important for patients to prevent disabling claudication, ischaemic rest pain and gangrene. According to previous research, the pulse timing and shape distortion characteristics of photoplethysmography (PPG) signals tend to increase with disease severity and calibrated amplitude decreases with vascular diseases. However, this is not a reliable method of evaluating the condition of PVOD because of noise effect. In this paper, an adaptive network-based fuzzy inference system (ANFIS) is proposed to assess lower limb PVOD based on PPG signals. PPG signals are non-invasively recorded from the right and left sides at the big toe sites from twenty subjects, including normal condition (Nor), lower-grade disease (LG), and higher-grade disease (HG) groups. The number of each group is 10, 8 and 2 respectively, and the ages ranged from 24 to 65 years. With the time-domain technique, the parameters for the absolute bilateral differences (right-to-left side of foot) in pulse delay and amplitude were extracted for analyzing ANFIS. The results indicated that ANFIS based on three timing parameters base bilateral differences, including ΔPTTf and ΔPTTp, and ΔRT has a high rate and noise tolerance of PVOD assessment.
Year
DOI
Venue
2012
10.1007/s10916-010-9476-1
J. Medical Systems
Keywords
Field
DocType
lower limb peripheral vascular,pvod assessment,vascular disease,amplitude decrease,occlusive disease,peripheral vascular occlusive disease,lower-grade disease,absolute bilateral difference,ppg signal,lower limb,adaptive network-based fuzzy inference,peripheral vascular occlusive disease pvod. photoplethysmography ppg.adaptive network-based fuzzy inference system anfis,higher-grade disease,disease severity
Data mining,Peripheral,Lower limb,Pulse (signal processing),Adaptive neuro fuzzy inference system,Surgery,Medicine,Photoplethysmogram,Internal medicine,Cardiology,Claudication,Vascular occlusive disease,Gangrene
Journal
Volume
Issue
ISSN
36
1
0148-5598
Citations 
PageRank 
References 
1
0.38
5
Authors
2
Name
Order
Citations
PageRank
Yi-chun Du1639.25
Chia-Hung Lin231242.84