An approach for identifying gait events using wavelet denoising technique and single wireless IMU

摘要

A new approach is proposed to identify gait events in non-laboratory environments witha single inertial measurement unit (IMU) embedded inside shoe. The aim of our work isto develop a useful clinical tool for monitoring individuals walking disability and detectspecific pathological gait patterns. Temporal parameters of gait are determined byclassification of accelerations and angular velocities. Wavelets denoising of IMU signalsallows for an important amount of information that is exploited in different manners forevent identification. It was found that wavelet denoising enhanced specific turning pointswhich could effectively identify gait events. The method is verified by comparing theresults of video-based motion capture system and force plates as conventional standards.This portable gait-monitoring system allows for versatile application beyond gaitlaboratory.