Range of motion and motion patterns in patients with low back pain before and after rehabilitation

Study Design. Data were collected form 27 patients who were participating i n a rehabilitation program for chronic low back pain. The patients were tes ted on day 2 and day 11 of a 2-week rehabilitation program. Objectives. To determine specific characteristics of trunk motion associate d with long-term dysfunction caused by low back pain of various origin, to determine if a neural network analysis system can be effective in distingui shing between patterns, and to determine if the rehabilitation has an effec t on range and pattern of motion. Summary of Background Data. There is a lack of objective measures for evalu ating the efficacy of rehabilitation programs. Numerous studies have establ ished the difficulty of evaluating low back pain. Existing techniques, such as imaging methods, are in many cases either very rough and inaccurate or expensive and ineffective. A technique for evaluation of motion patterns in low back pain was developed based on analysis of dynamic motion features s uch as shape, velocity, and symmetry of movements. Methods. Dynamic motion data were collected before and after rehabilitation from 27 patients with low back pain by using a triaxial goniometer. Range of motion and features of the movement, such as shape, velocity, and repeti tiveness, were extracted for analysis. Results. Motion features showed significant improvement after the rehabilit ation program. Conclusions. A neural network based on kinematic data is an excellent model for classification of low back pain dysfunction. Such a system could marke dly improve the management of low back pain for an individual patient.