Stridalyzer Insight Smart Insoles: a Clinical Grade Gait Analysis System

Gait analysis is crucial in the medical sphere, sports and research. It can facilitate prevention of diseases having gait-related symptoms, alleviation of pain with posture correction and performance improvement. It is being simplified and made more accessible with the development of sensor insoles combined with intelligent analytics. Stridalyzer INSIGHT is a smart insole system which offers ubiquitous clinical-grade gait analysis. In this paper, we present an overview of the device and the embedded sensor network, and evaluation of the data results. Weight distribution, vertical ground reaction force (GRF) and ground contact time (GCT) data has been evaluated using statistical metrics, with the pressure plate as the gold standard. The percentage difference in weight distribution data between the insoles and pressure plate were found to be 7.75(0.78) and -3.85(5.87) for left and right respectively. The correlation between the insoles and pressure plate vertical GRF data for dynamic gait (walking) was found to be 0.65(0.07) and 0.9 for left and right respectively. The percentage difference in GCT data between the insoles and pressure plate were found to be 0 and 12.4(1.8) for left and right respectively. The accuracy of the data can be improved by reducing the capacitance of the sensors and the circuit, compensating for the temporal and magnitudinal effects of capacitance while processing data and increasing the sensor area. Stridalyzer INSIGHT smart insolescan provide out-of-clinic gait analysis to complement the clinical systems, but the data needs to be validated for more varied anthropometric measurements.