Literature DB >> 27762641

The immediate effects of robot-assistance on energy consumption and cardiorespiratory load during walking compared to walking without robot-assistance: a systematic review.

Nina Lefeber1,2,3, Eva Swinnen1,2,3, Eric Kerckhofs1,2,3.   

Abstract

PURPOSE: The integration of sufficient cardiovascular stress into robot-assisted gait (RAG) training could combine the benefits of both RAG and aerobic training. The aim was to summarize literature data on the immediate effects of RAG compared to walking without robot-assistance on metabolic-, cardiorespiratory- and fatigue-related parameters.
METHODS: PubMed and Web of Science were searched for eligible articles till February 2016. Means, SDs and significance values were extracted. Effect sizes were calculated.
RESULTS: Fourteen studies were included, concerning 155 participants (85 healthy subjects, 39 stroke and 31 spinal cord injury patients), 9 robots (2 end-effectors, 1 treadmill-based and 6 wearable exoskeletons), and 7 outcome parameters (mostly oxygen consumption and heart rate). Overall, metabolic and cardiorespiratory parameters were lower during RAG compared to walking without robot-assistance (moderate to large effect sizes). In healthy subjects, when no body-weight support (BWS) was provided, RAG with an end-effector device was more energy demanding than walking overground (p > .05, large effect sizes).
CONCLUSIONS: Generally, results suggest that RAG is less energy-consuming and cardiorespiratory stressful than walking without robot-assistance, but results depend on factors such as robot type, walking speed, BWS and effort. Additional research is needed to draw firm conclusions. Implications for Rehabilitation Awareness of the energy consumption and cardiorespiratory load of robot-assisted gait (RAG) training is important in the rehabilitation of (neurological) patients with impaired cardiorespiratory fitness and patients who are at risk of cardiovascular diseases. On the other hand, the integration of sufficient cardiometabolic stress in RAG training could combine the effects of both RAG and aerobic training. Energy consumption and cardiorespiratory load during walking with robot-assistance seems to depend on factors such as robot type, walking speed, body-weight support or amount of effort. These parameters could be adjusted in RAG rehabilitation to make RAG more or less energy-consuming and cardiorespiratory stressful. Overall, short duration exoskeleton walking seems less energy-consuming and cardiorespiratory stressful than walking without robot-assistance. This might implicate that the exercise intensity is safe for (neurological) patients at risk of cardiovascular diseases. How this changes in extended walking time is unclear.

Entities:  

Keywords:  Walking; cardiovascular physiological processes; end-effector; energy metabolism; exoskeleton device; respiratory physiological processes

Mesh:

Year:  2016        PMID: 27762641     DOI: 10.1080/17483107.2016.1235620

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  13 in total

1.  Comparison of peak oxygen consumption response to aquatic and robotic therapy in individuals with chronic motor incomplete spinal cord injury: a randomized controlled trial.

Authors:  Peter H Gorman; William Scott; Leslie VanHiel; Keith E Tansey; W Mark Sweatman; Paula Richley Geigle
Journal:  Spinal Cord       Date:  2019-01-18       Impact factor: 2.772

2.  A Case Report on Robot-Aided Gait Training in Primary Lateral Sclerosis Rehabilitation: Rationale, Feasibility and Potential Effectiveness of a Novel Rehabilitation Approach.

Authors:  Simona Portaro; Laura Ciatto; Loredana Raciti; Enrico Aliberti; Riccardo Aliberti; Antonino Naro; Rocco Salvatore Calabrò
Journal:  Innov Clin Neurosci       Date:  2021 Apr-Jun

3.  Bilateral, Misalignment-Compensating, Full-DOF Hip Exoskeleton: Design and Kinematic Validation.

Authors:  Karen Junius; Marc Degelaen; Nina Lefeber; Eva Swinnen; Bram Vanderborght; Dirk Lefeber
Journal:  Appl Bionics Biomech       Date:  2017-07-16       Impact factor: 1.781

Review 4.  Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics.

Authors:  Giovanni Morone; Stefano Paolucci; Andrea Cherubini; Domenico De Angelis; Vincenzo Venturiero; Paola Coiro; Marco Iosa
Journal:  Neuropsychiatr Dis Treat       Date:  2017-05-15       Impact factor: 2.570

5.  Locomotor training using an overground robotic exoskeleton in long-term manual wheelchair users with a chronic spinal cord injury living in the community: Lessons learned from a feasibility study in terms of recruitment, attendance, learnability, performance and safety.

Authors:  Dany H Gagnon; Manuel J Escalona; Martin Vermette; Lívia P Carvalho; Antony D Karelis; Cyril Duclos; Mylène Aubertin-Leheudre
Journal:  J Neuroeng Rehabil       Date:  2018-03-01       Impact factor: 4.262

6.  Robotic technology for palliative and supportive care: Strengths, weaknesses, opportunities and threats.

Authors:  Amara Callistus Nwosu; Bethany Sturgeon; Tamsin McGlinchey; Christian Dg Goodwin; Ardhendu Behera; Stephen Mason; Sarah Stanley; Terry R Payne
Journal:  Palliat Med       Date:  2019-06-28       Impact factor: 4.762

7.  Implementation of a gait center training to improve walking ability and vital parameters in inpatient neurological rehabilitation- a cohort study.

Authors:  Stephanie Reichl; Franz Weilbach; Jan Mehrholz
Journal:  J Neuroeng Rehabil       Date:  2020-03-04       Impact factor: 4.262

Review 8.  Effect of robotic-assisted gait training on objective biomechanical measures of gait in persons post-stroke: a systematic review and meta-analysis.

Authors:  Heidi Nedergård; Ashokan Arumugam; Marlene Sandlund; Anna Bråndal; Charlotte K Häger
Journal:  J Neuroeng Rehabil       Date:  2021-04-16       Impact factor: 4.262

Review 9.  Systematic Review of Appropriate Robotic Intervention for Gait Function in Subacute Stroke Patients.

Authors:  Ji-Eun Cho; Jun Sang Yoo; Kyoung Eun Kim; Sung Tae Cho; Woo Seok Jang; Ki Hun Cho; Wan-Hee Lee
Journal:  Biomed Res Int       Date:  2018-02-06       Impact factor: 3.411

10.  The Effects of Upper-Body Exoskeletons on Human Metabolic Cost and Thermal Response during Work Tasks-A Systematic Review.

Authors:  Simona Del Ferraro; Tiziana Falcone; Alberto Ranavolo; Vincenzo Molinaro
Journal:  Int J Environ Res Public Health       Date:  2020-10-09       Impact factor: 3.390

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