The Validity and Reliability of a New Intelligent Three-Dimensional Gait Analysis System in Healthy Subjects and Patients with Post-Stroke

Abstract

Odonate is a new, intelligent three-dimensional gait analysis system based on binocular depth cameras and neural networks, but its accuracy has not been validated. Twenty-six healthy subjects and sixteen patients with post-stroke were recruited to investigate the validity and reliability of Odonate for gait analysis and examine its ability to discriminate abnormal gait patterns. The repeatability tests of different raters and different days showed great consistency. Compared with the results measured by Vicon, gait velocity, cadence, step length, cycle time, and sagittal hip and knee joint angles measured by Odonate showed high consistency, while the consistency of the gait phase division and the sagittal ankle joint angle was slightly lower. In addition, the stages with statistical differences between healthy subjects and patients during a gait cycle measured by the two systems were consistent. In conclusion, Odonate has excellent inter/intra-rater reliability, and has strong validity in measuring some spatiotemporal parameters and the sagittal joint angles, except the gait phase division and the ankle joint angle. Odonate is comparable to Vicon in its ability to identify abnormal gait patterns in patients with post-stroke. Therefore, Odonate has the potential to provide accessible and objective measurements for clinical gait assessment.

Gait Analysis in Neurorehabilitation: From Research to Clinical Practice

“…Notably, the second version of the device Kinect v-2 was used to collect accurately spatial-temporal and kinematics parameters of gait, showing reliability and validity in individuating different gait performance between patients and healthy controls, and between post-stroke patients with or without risk of falling. Recently, Wang et al [43] performed gait analysis through a three-dimensional motion capture system named Odonate. This system comprises a binocular camera combined with an artificial intelligence system able to automatically capture, analyze, and process gait parameters.…”