Background: Unsupervised robot-assisted rehabilitation is a promising approach to increase the dose of therapy after stroke, which may help promote sensorimotor recovery without requiring significant additional resources and manpower. However, the unsupervised use of robotic technologies is not yet a standard, as rehabilitation robots often show low usability or are considered unsafe to be used by patients independently. In this paper we explore the feasibility of unsupervised therapy with an upper limb rehabilitation robot in a clinical setting, evaluate the effect on the overall therapy dose, and assess user experience during unsupervised use of the robot and its usability.
Methods: Subacute stroke patients underwent a four-week protocol composed of daily 45 min-sessions of robot-assisted therapy. The first week consisted of supervised therapy, where a therapist explained how to interact with the device. The second week was minimally supervised, i.e., the therapist was present but intervened only if needed. After this phase, if participants learnt how to use the device, they proceeded to two weeks of fully unsupervised training. Feasibility, dose of robot-assisted therapy achieved during unsupervised use, user experience, and usability of the device were evaluated. Questionnaires to evaluate usability and user experience were performed after the minimally supervised week and at the end of the study, to evaluate the impact of therapists' absence.
Results: Unsupervised robot-assisted therapy was found to be feasible, as 12 out of the 13 recruited participants could progress to unsupervised training. During the two weeks of unsupervised therapy participants on average performed an additional 360 min of robot-assisted rehabilitation. Participants were satisfied with the device usability (mean System Usability Scale scores > 79), and no adverse events or device deficiencies occurred.
Conclusions: We demonstrated that unsupervised robot-assisted therapy in a clinical setting with an actuated device for the upper limb was feasible and can lead to a meaningful increase in therapy dose. These results support the application of unsupervised robot-assisted therapy as a complement to usual care in clinical settings and pave the way to its application in home settings.
Trial Registration: Registered on 13.05.2020 on clinicaltrials.gov (NCT04388891).
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http://dx.doi.org/10.1186/s12984-024-01347-4 | DOI Listing |
Scand J Urol
December 2024
Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden; Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden.
Objective: An exercise programme in primary care soon after radical cystectomy for urinary bladder cancer was previously evaluated regarding its effects on physical function. A secondary aim, presented herein, was to evaluate the programme in terms of its effect on postoperative complications.
Materials And Methods: Patients who were planned for robot-assisted radical cystectomy for urinary bladder cancer at Karolinska University Hospital between September 2019 and October 2022 were invited to participate.
Toxins (Basel)
August 2024
Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Gloriastrasse 37/39, 8092 Zurich, Switzerland.
BMC Cancer
July 2024
Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Introduction: After radical cystectomy physical activity is important to reduce risk of complications, but patients with urinary bladder cancer have difficulties in achieving general recommendations on physical activity and exercise. The aim of this randomised controlled trial was therefore to evaluate the effects of a physical exercise programme in primary care, following discharge from hospital after robot-assisted radical cystectomy for urinary bladder cancer.
Materials And Methods: Patients with urinary bladder cancer scheduled for robot-assisted radical cystectomy at Karolinska University Hospital, Sweden between September 2019 and October 2022 were invited to join the study.
J Neuroeng Rehabil
April 2024
Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Switzerland.
Background: Unsupervised robot-assisted rehabilitation is a promising approach to increase the dose of therapy after stroke, which may help promote sensorimotor recovery without requiring significant additional resources and manpower. However, the unsupervised use of robotic technologies is not yet a standard, as rehabilitation robots often show low usability or are considered unsafe to be used by patients independently. In this paper we explore the feasibility of unsupervised therapy with an upper limb rehabilitation robot in a clinical setting, evaluate the effect on the overall therapy dose, and assess user experience during unsupervised use of the robot and its usability.
View Article and Find Full Text PDFJMIR Res Protoc
November 2023
Rehabilitation Engineering Laboratory, Swiss Federal Institute of Technology Zürich, Zurich, Switzerland.
Background: Increasing the dose of therapy delivered to patients with stroke may improve functional outcomes and quality of life. Unsupervised technology-assisted rehabilitation is a promising way to increase the dose of therapy without dramatically increasing the burden on the health care system. Despite the many existing technologies for unsupervised rehabilitation, active rehabilitation robots have rarely been tested in a fully unsupervised way.
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