Classification of Chronic Whiplash Associated Disorders With Artificial Neural Networks.

摘要

This study presents a new method for classification of subjects suffering from Whiplash Associated Disorders (WAD) with a supervised resilient Back Propagation Neural Network (BPN). The only input needed, from each subject, is features extracted from 3-dimensional motion data collected by a ProReflex system. The analysis with BPN results in a correct prediction for 84% of normal subjects and 89% percent of subjects with WAD.