Literature DB >> 24440014

Cardiopulmonary responses to robotic end-effector-based walking and stair climbing.

Oliver Stoller1, Matthias Schindelholz2, Lukas Bichsel2, Kenneth J Hunt2.   

Abstract

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.
CONCLUSION: 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.
Copyright © 2013 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cardiovascular exercise; Exercise testing; Robotics-assisted; Stair climbing; Walking

Mesh:

Year:  2014        PMID: 24440014     DOI: 10.1016/j.medengphy.2013.12.016

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  3 in total

Review 1.  Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?

Authors:  Rocco Salvatore Calabrò; Alberto Cacciola; Francesco Bertè; Alfredo Manuli; Antonino Leo; Alessia Bramanti; Antonino Naro; Demetrio Milardi; Placido Bramanti
Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

2.  Robot-Assisted Stair Climbing Training on Postural Control and Sensory Integration Processes in Chronic Post-stroke Patients: A Randomized Controlled Clinical Trial.

Authors:  Marialuisa Gandolfi; Nicola Valè; Eleonora Dimitrova; Maria Elisabetta Zanolin; Nicola Mattiuz; Elisa Battistuzzi; Marcello Beccari; Christian Geroin; Alessandro Picelli; Andreas Waldner; Nicola Smania
Journal:  Front Neurosci       Date:  2019-10-24       Impact factor: 4.677

3.  Robot-Assisted End-Effector-Based Stair Climbing for Cardiopulmonary Exercise Testing: Feasibility, Reliability, and Repeatability.

Authors:  Oliver Stoller; Matthias Schindelholz; Kenneth J Hunt
Journal:  PLoS One       Date:  2016-02-05       Impact factor: 3.240

  3 in total

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