User-Friendly Processing of KinCom and Biodex Data For The Speed Supported Treadmill Training Exercise Program

User-Friendly Processing of KinCom and Biodex Data For The Speed Supported Treadmill Training Exercise Program

Student(s):

Dana P. Fuchs

Advisor(s):

Dr. David W. Barnett

Impaired locomotion is a major obstacle to quality of life for children with cerebral palsy (CP). Speedfocused partial body weight support treadmill training (PBWSTT) may offer significant relief. A study exploring the possible locomotive benefits of one method of this training is currently underway at several collaborating research institutions throughout the country. However, even as data are being collected, there is no sufficient existing tool to universally and efficiently analyze the accumulating data files. Data is being collected using Kinetic Communicator (KinCom) and Biodex devices, both of which can be used to measure human joint function. The devices are very useful, but the data produced is not easily analyzed. The goal of this project was to design a user-friendly data processing program that could efficiently translate the raw data output from the KinCom and Biodex devices into easily analyzable parameters representative of muscle strength, spasticity, and motor control. To meet this objective, I used Matlab to constructed a program that draws directly on raw KinCom and Biodex data files and requires minimum user input. The resulting output is an organized Microsoft Excel workbook, complete with all information necessary to perform data analysis. The program has been debugged and delivered to research institutions involved with the study, where it will enable research investigators to effectively use their time, processing data quickly, consistently, and accurately.