Pressure Sensor Data Analysis for Motor Function Assessment of Stroke Patients

This paper investigates the potential use of pressure data for the detection of abnormalities in motor function of post-stroke patients. Histograms of the pressure values, empirical cumulative curves and the pressure intensity captured over time were considered. The evaluation was performed on three datasets: the PMat dataset, and two other datasets collected for this study. The preliminary results show that it is possible to identify patterns of motor function impairment, which shows a potential venue for future research for monitoring this function in stroke survivors.