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

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, August 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
Published in
Journal of NeuroEngineering and Rehabilitation, August 2016
DOI 10.1186/s12984-016-0182-1
Pubmed ID
Authors

Frieder Wittmann, Jeremia P. Held, Olivier Lambercy, Michelle L. Starkey, Armin Curt, Raphael Höver, Roger Gassert, Andreas R. Luft, Roman R. Gonzenbach

Abstract

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. 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. 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. 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. Unique identifier: NCT02098135 .

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 419 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 <1%
Colombia 1 <1%
Unknown 417 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 68 16%
Student > Ph. D. Student 67 16%
Student > Bachelor 57 14%
Researcher 29 7%
Student > Doctoral Student 18 4%
Other 64 15%
Unknown 116 28%
Readers by discipline Count As %
Nursing and Health Professions 62 15%
Engineering 56 13%
Medicine and Dentistry 41 10%
Computer Science 31 7%
Neuroscience 31 7%
Other 62 15%
Unknown 136 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 October 2016.
All research outputs
#6,920,070
of 22,882,389 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#432
of 1,284 outputs
Outputs of similar age
#114,687
of 355,869 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#5
of 12 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 355,869 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.