Figure 1. Embedded gait analysis using intelligent technology (eGaIT) concept.

A: Shoe equipped with biosensors. B: Exemplary raw signal data from accelerometer with some automated computed features. C: Pattern recognition includes feature extraction from biosensor signals followed by selection, and classification of subgroups. Different pattern recognition algorithms were created: A_PD distinguishes between patients and controls, is generated in a training population and validated in an independent validation population. A_H&Y and A_UPDRS classify PD subgroups and include all samples.