Gait planning for effective rehabilitation - From gait study to application in clinical rehabilitation

Abstract

In this paper, we propose a gait generation concept for rehabilitation, in which GaitGen, a gait pattern generator is introduced. The concept of GaitGen will be explained. GaitGen aims to provide objective gait planning for rehabilitation. Gait-related studies have been carried out for the validation and enhancement of GaitGen. Motion capture system has been used for gait database collection. An established equation of normalized gait parameters has been studied via GAITRite. The paper ends with a summary of results, findings, and future works.

Qualitative evaluations of gait rehabilitation via EMG muscle activation pattern: Repetition, symmetry, and smoothness

“…Overview of NaTUre-gaits [21] Two parallelogram arms (PA) are designed to generate the pelvic motion. The end effectors of the PA are connected to the subject for body weight support (BWS) and pelvic control.…”

Subject-specific gait parameters prediction for robotic gait rehabilitation via generalized regression neural network

“…The normalized gait parameters is given by _ 0.008 _ stride length cadence body height (1) Equation (1) is derived by fitting a straight line to the experimental data. However, the relationship of these parameters may not be represented by a simple linear function and the constant value 0.008 is not the same for all population [8]. This work conducted experiments with a small group of students in Singapore and showed that the normalized gait parameters are varied from 0.006 to 0.0098 for different subjects.…”

“…A methodology of gait pattern generation, GaitGen, was introduced to provide a systematic approach to generate gait pattern for robotic gait rehabilitation [8]. The overview of GaitGen is depicted in Fig.…”

“…The index of 0.0071 is used instead of 0.008, since 0.0071 is found to be more appropriate for the population we studied [8]. Given the walking speed and index, stride length and cadence can be calculated as follows: …”

“…A methodology, which addresses the need of gait pattern generation for robotic assisted gait rehabilitation has been presented [8]. This methodology facilitates the generation of gait pattern for a patient, without the need of a matching template.…”