Cardiopulmonary responses to robotic end-effector-based walking and stair climbing.
BACKGROUND
A recently developed robotic end-effector device (G-EO system, Reha Technology AG) can simulate walking and stair climbing. This approach has the potential to promote cardiovascular exercise training during rehabilitation. The aim of this study was to characterise cardiopulmonary responses of end-effector-based exercise in able-bodied subjects and to evaluate the feasibility of intensity-guided exercise testing.


METHODS
Five healthy subjects aged 33.7 ± 8.8 years (mean ± SD) performed a constant load test and an intensity-guided incremental exercise test. The outcome measures were steady-state and peak cardiopulmonary performance parameters including oxygen uptake (VO2) and heart rate (HR).


RESULTS
Passive end-effector-based stair climbing (VO2=13.6 ± 4.5 mL/min/kg, HR=95 ± 23 beats/min) showed considerably lower cardiopulmonary responses compared to reference data (VO2=33.5 ± 4.8 mL/min/kg, HR=159 ± 15 beats/min). Peak performance parameters during intensity-guided incremental exercise testing were: VO2=35.8 ± 5.1 mL/min/kg and HR=161 ± 27 beats/min, corresponding to a relative VO2=76.0 ± 18.7% of predicted aerobic capacity and a relative HR=87.3 ± 14.5% of age-predicted HR maximum.


CONCLUSIONS
End-effector-based exercise is a promising method for the implementation of cardiovascular exercise. Although end-effector-based stair climbing evoked lower cardiopulmonary responses than conventional stair climbing, active contribution during exercise elicited substantial cardiopulmonary responses within recommended ranges for aerobic training.
Institute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, Switzerland; Department of Epidemiology, Maastricht University and Caphri Research School, Maastricht, The Netherlands. Electronic address: oliver.stoller@bfh.ch.
Oliver
O
Stoller
Institute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, Switzerland.
Matthias
M
Schindelholz
Institute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, Switzerland.
Lukas
L
Bichsel
Institute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, Switzerland.
Kenneth J
KJ
Hunt
D000328:Adult; D015444:Exercise; D005080:Exercise Test / Q000295:instrumentation / Q000379:methods; D005240:Feasibility Studies; D005260:Female; D006339:Heart Rate; D006801:Humans; D008124:Locomotion / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D010101:Oxygen Consumption; D012046:Rehabilitation / Q000295:instrumentation; D012371:Robotics; D016138:Walking; D016474:Weight-Bearing
Cardiovascular exercise; Exercise testing; Robotics-assisted; Stair climbing; Walking