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Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system

BACKGROUND: The effect of rehabilitative training after stroke is dose-dependent. Out-patient rehabilitation training is often limited by transport logistics, financial resources and a lack of motivation/compliance. We studied the feasibility of an unsupervised arm therapy for self-directed rehabili...

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Autores principales: Wittmann, Frieder, Held, Jeremia P., Lambercy, Olivier, Starkey, Michelle L., Curt, Armin, Höver, Raphael, Gassert, Roger, Luft, Andreas R., Gonzenbach, Roman R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982313/
https://www.ncbi.nlm.nih.gov/pubmed/27515583
http://dx.doi.org/10.1186/s12984-016-0182-1
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author Wittmann, Frieder
Held, Jeremia P.
Lambercy, Olivier
Starkey, Michelle L.
Curt, Armin
Höver, Raphael
Gassert, Roger
Luft, Andreas R.
Gonzenbach, Roman R.
author_facet Wittmann, Frieder
Held, Jeremia P.
Lambercy, Olivier
Starkey, Michelle L.
Curt, Armin
Höver, Raphael
Gassert, Roger
Luft, Andreas R.
Gonzenbach, Roman R.
author_sort Wittmann, Frieder
collection PubMed
description BACKGROUND: The effect of rehabilitative training after stroke is dose-dependent. Out-patient rehabilitation training is often limited by transport logistics, financial resources and a lack of motivation/compliance. We studied the feasibility of an unsupervised arm therapy for self-directed rehabilitation therapy in patients’ homes. METHODS: An open-label, single group study involving eleven patients with hemiparesis due to stroke (27 ± 31.5 months post-stroke) was conducted. The patients trained with an inertial measurement unit (IMU)-based virtual reality system (ArmeoSenso) in their homes for six weeks. The self-selected dose of training with ArmeoSenso was the principal outcome measure whereas the Fugl-Meyer Assessment of the upper extremity (FMA-UE), the Wolf Motor Function Test (WMFT) and IMU-derived kinematic metrics were used to assess arm function, training intensity and trunk movement. Repeated measures one-way ANOVAs were used to assess differences in training duration and clinical scores over time. RESULTS: All subjects were able to use the system independently in their homes and no safety issues were reported. Patients trained on 26.5 ± 11.5 days out of 42 days for a duration of 137 ± 120 min per week. The weekly training duration did not change over the course of six weeks (p = 0.146). The arm function of these patients improved significantly by 4.1 points (p = 0.003) in the FMA-UE. Changes in the WMFT were not significant (p = 0.552). ArmeoSenso based metrics showed an improvement in arm function, a high number of reaching movements (387 per session), and minimal compensatory movements of the trunk while training. CONCLUSIONS: Self-directed home therapy with an IMU-based home therapy system is safe and can provide a high dose of rehabilitative therapy. The assessments integrated into the system allow daily therapy monitoring, difficulty adaptation and detection of maladaptive motor patterns such as trunk movements during reaching. TRIAL REGISTRATION: Unique identifier: NCT02098135.
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spelling pubmed-49823132016-08-13 Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system Wittmann, Frieder Held, Jeremia P. Lambercy, Olivier Starkey, Michelle L. Curt, Armin Höver, Raphael Gassert, Roger Luft, Andreas R. Gonzenbach, Roman R. J Neuroeng Rehabil Research BACKGROUND: The effect of rehabilitative training after stroke is dose-dependent. Out-patient rehabilitation training is often limited by transport logistics, financial resources and a lack of motivation/compliance. We studied the feasibility of an unsupervised arm therapy for self-directed rehabilitation therapy in patients’ homes. METHODS: An open-label, single group study involving eleven patients with hemiparesis due to stroke (27 ± 31.5 months post-stroke) was conducted. The patients trained with an inertial measurement unit (IMU)-based virtual reality system (ArmeoSenso) in their homes for six weeks. The self-selected dose of training with ArmeoSenso was the principal outcome measure whereas the Fugl-Meyer Assessment of the upper extremity (FMA-UE), the Wolf Motor Function Test (WMFT) and IMU-derived kinematic metrics were used to assess arm function, training intensity and trunk movement. Repeated measures one-way ANOVAs were used to assess differences in training duration and clinical scores over time. RESULTS: All subjects were able to use the system independently in their homes and no safety issues were reported. Patients trained on 26.5 ± 11.5 days out of 42 days for a duration of 137 ± 120 min per week. The weekly training duration did not change over the course of six weeks (p = 0.146). The arm function of these patients improved significantly by 4.1 points (p = 0.003) in the FMA-UE. Changes in the WMFT were not significant (p = 0.552). ArmeoSenso based metrics showed an improvement in arm function, a high number of reaching movements (387 per session), and minimal compensatory movements of the trunk while training. CONCLUSIONS: Self-directed home therapy with an IMU-based home therapy system is safe and can provide a high dose of rehabilitative therapy. The assessments integrated into the system allow daily therapy monitoring, difficulty adaptation and detection of maladaptive motor patterns such as trunk movements during reaching. TRIAL REGISTRATION: Unique identifier: NCT02098135. BioMed Central 2016-08-11 /pmc/articles/PMC4982313/ /pubmed/27515583 http://dx.doi.org/10.1186/s12984-016-0182-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wittmann, Frieder
Held, Jeremia P.
Lambercy, Olivier
Starkey, Michelle L.
Curt, Armin
Höver, Raphael
Gassert, Roger
Luft, Andreas R.
Gonzenbach, Roman R.
Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
title Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
title_full Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
title_fullStr Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
title_full_unstemmed Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
title_short Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
title_sort self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982313/
https://www.ncbi.nlm.nih.gov/pubmed/27515583
http://dx.doi.org/10.1186/s12984-016-0182-1
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