The CIMAP (Clustering for Identification of Muscle Activation Pattern) has been applied to data collected from Parkinson's Disease subjects during gait to assess the outcome of LSVT-BIG therapy. Cleaning and pre-processing methods were applied to the data. The CIMAP was adapted and validated for new types of dataset and then the results of the output from the CIMAP were analysed using the Asymmetry Index and the Muscle Functional Index.