More than a third of the US population engaged in running in 2018, and the rate of lesions in inexperienced runners is higher 80\%. Often, the diagnosis of lesions in the lower limb require extensive evaluations, including gait analysis. Such analysis look for differences in pathological and normal gait, and are often conduced by health professionals which monitor myoelectric impulses and the kinematic. Yet both EMG and Kinematic are related, many challenges surround the full comprehension of this coupling. Information theoretic measures are known for discovering the dependency between variables, and have already been used for the analysis of muscle synergy and on EEG signals. This work contains a case study of the usage of Delayed and Conditional Mutual Information on healthy individuals and patellofemoral pain patients, and presents some differences found in the muscle activation patterns between both groups.