Abstract
Treadmill training is used for gait rehabilitation in various neurological conditions. Robot-assisted treadmill training automates repetition of the gait cycle and can reduce the load on therapists. Here we investigate the use of robot-assisted treadmill technology in cardiopulmonary rehabilitation and assessment. Using a new approach to exercise work rate estimation and volitional control, we propose cardiopulmonary assessment protocols for robot-assisted gait exercise, designed for estimation of cardiopulmonary performance parameters. Feasibility was explored in three subjects with incomplete spinal cord injury using the Lokomat system. Estimation and visual feedback of exercise work rate allowed all subjects to accurately follow specified work rate profiles in real time by means of volitional control. We were able to estimate the main cardiopulmonary performance parameters from constant work rate and incremental tests. "Passive" walking elicited a substantial metabolic response: on average, oxygen uptake (over(V, ̇)O2) was a factor of 1.8 higher than during rest. The magnitude of peak over(V, ̇)O2 above rest, obtained from incremental tests, was a factor of 4-6 higher than the increment in over(V, ̇)O2 for passive walking, thus emphasising the importance of the subjects' active participation in the exercise. Visual feedback and volitional control of estimated exercise work rate facilitates the imposition of work rate profiles for estimation of cardiopulmonary performance parameters in robot-assisted gait. This new approach could be used to guide a patient's training regime during a cardiopulmonary rehabilitation programme, and for periodic assessment of cardiopulmonary status. © 2007 Elsevier Ltd. All rights reserved.