Principal Investigators: Kevin C. McGill, PhD, Zoia C. Lateva, PhD, and Charles R. Burgar, MD Description: Diagnosis of nerve disorders such as carpal tunnel syndrome, typically involves an electrophysiological evaluation. Typically, the median nerve is stimulated at the wrist, and the electrical activity of the muscle is recorded throughout the hand. The activity starts at the wrist and spreads toward the tendons in a complex pattern. Using computer models we are studying this pattern to help clinicians make more accurate diagnoses. Problem: In order to help clinicians more effectively diagnose and treat neuromuscular disorders we are developing more accurate methods for interpreting the electrical signals generated by muscles and nerves. Approach: Based on experimental data and the theory of bioelectrical fields we are developing a computer model of muscle signals evoked by nerve stimulation. This will allow us to extract more accurate information from such signals about the health of the muscle and nerve. This information, in turn, will improve the clinician's ability to evaluate patients and plan their treatment. Related Work: We have developed software for analyzing electromyograms (EMGs) that is now being used in clinics throughout the world. We have also developed methods for assessing nerve injuries and for monitoring the outcome of nerve-repair surgeries. Collaborators: Shaojun Ziao, PhD, V. Rodney Hentz, MD, and Leslie Dorfman, MD |
