Fractal analysis of acceleration signals from patients with CPPD, rheumatoid arthritis, and spondyloarthroparthy of the finger joint.
Arthritis is one of the leading causes of disability and affects a major segment of the population. Consequently, accurate diagnosis of arthritis is important. Arthritis due to calcium pyrophosphate deposition disease (CPPD), rheumatoid arthritis, and spondyloarthropathy, induce complex changes in the cartilage and the articular surface. The fractal dimension provides a measure of the complexity of a signal. Recently, we have developed non-invasive acceleration measurements to characterize the arthritic patients. The question remains if the fractal dimension of the acceleration signal is different for different arthritis conditions. The purpose of this study was to distinguish between different types of arthritis of the finger joint using the fractal dimension of the acceleration signal obtained from the finger joint of the arthritic patients. Acceleration signals were obtained from the finger joint of arthritis patients with rheumatoid arthritis, spondyloarthropathy, and calcium pyrophosphate deposition disease of the finger joint. ANOVA results showed that there were significant differences between the fractal dimension of acceleration signals from patients having calcium pyrophosphate deposition disease and rheumatoid arthritis and spondyloarthropathy. Fractal dimension of acceleration signals, in concert with other clinical symptoms, can be used to classify different types of arthritis.
Shah
Ekta N
EN
Human Interface Laboratory, Biomedical Engineering Department, University of Akron, Akron, OH 44325-0302, USA. ekta.shah@philps.com
Reddy
Narender P
NP
Rothschild
Bruce M
BM
D001172:Arthritis, Rheumatoid / Q000175:diagnosis* / Q000473:pathology*; D002805:Chondrocalcinosis / Q000473:pathology*; D003937:Diagnosis, Differential; D005385:Fingers / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009068:Movement / Q000502:physiology*; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013166:Spondylitis / Q000175:diagnosis* / Q000473:pathology*