Automated Accelerometer-Based Gait Event Detection During Multiple Running Conditions.

ABSTRACT: The identification of the initial contact (IC) and toe off (TO) events are crucial components of running gait analyses. To evaluate running gait in real-world settings, robust gait event detection algorithms that are based on signals from wearable sensors are needed. In this study, algorithms for identifying gait events were developed for accelerometers that were placed on the foot and low back and validated against a gold standard force plate gait event detection method. These algorithms were automated to enable the processing of large quantities of data by accommodating variability in running patterns. An evaluation of the accuracy of the algorithms was done by comparing the magnitude and variability of the difference between the back and foot methods in different running conditions, inc

SUBMITTER: Benson LC 

PROVIDER: S-EPMC6480623 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature