Data from gait analysis are processed using various statistical methods and computational tools. This may involve:
Pattern Recognition: Identifying common patterns and deviations in gait cycles. Machine Learning: Using algorithms to predict potential health issues based on gait data. Comparative Analysis: Comparing an individual's gait data to normative data from healthy populations.