Prediction model and analysis of foot-ground reaction force based on pressure insole

In order to facilitate the doctor to remotely monitor the foot-ground reaction of the patient in daily life, an insole type foot pressure measurement system was designed. In the dynamic measurement of the plantar pressure, the analog signal of the pressure sensor is amplified, filtered and digital-analog converted, sent to the SQL database through the Zigbee wireless module, and the remote reading of the plantar pressure is realized by using the LabVIEW post-processing program. Based on the plantar pressure data, a multivariate linear regression model was used to establish a multivariate linear regression model of the foot-to-ground reaction. It was found that the FSR402 sensor has a high precision when measuring the pressure below 10 N, and the accuracy is significantly reduced when the pressure reaches 10 N and above. The insole pressure measurement system uses 0.248 8% and 0.731 8% of the error between the measured and predicted values measured by two comparison experiments, which is within the acceptable error range for engineering applications, the resulting error and the cause of negative predictive power is the accuracy of the sensor and the viscoelasticity between the foot and the insole. Copyright No content may be reproduced or abridged without authorization.