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Introducing a feedback training system for guided home rehabilitation.

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Title: Introducing a feedback training system for guided home rehabilitation.
Authors: Kohler F (AUTHOR), Schmitz-Rode T (AUTHOR), Disselhorst-Klug C (AUTHOR), Kohler, Fabian1 (AUTHOR), Schmitz-Rode, Thomas (AUTHOR), Disselhorst-Klug, Catherine (AUTHOR)
Source: Journal of NeuroEngineering & Rehabilitation (JNER). 2010, Vol. 7, p2-2. 1p.
Abstract: As the number of people requiring orthopaedic intervention is growing, individualized physiotherapeutic rehabilitation and adequate postoperative care becomes increasingly relevant. The chances of improvement in the patients condition is directly related to the performance and consistency of the physiotherapeutic exercises.In this paper a smart, cost-effective and easy to use Feedback Training System for home rehabilitation based on standard resistive elements is introduced. This ensures high accuracy of the exercises performed and offers guidance and control to the patient by offering direct feedback about the performance of the movements.46 patients were recruited and performed standard physiotherapeutic training to evaluate the system. The results show a significant increase in the patient's ability to reproduce even simple physiotherapeutic exercises when being supported by the Feedback Training System. Thus physiotherapeutic training can be extended into the home environment whilst ensuring a high quality of training. [ABSTRACT FROM AUTHOR]
Copyright of Journal of NeuroEngineering & Rehabilitation (JNER) is the property of BioMed Central and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 105121450
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Introducing a feedback training system for guided home rehabilitation.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+NeuroEngineering+%26+Rehabilitation+%28JNER%29%22">Journal of NeuroEngineering & Rehabilitation (JNER)</searchLink>. 2010, Vol. 7, p2-2. 1p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: As the number of people requiring orthopaedic intervention is growing, individualized physiotherapeutic rehabilitation and adequate postoperative care becomes increasingly relevant. The chances of improvement in the patients condition is directly related to the performance and consistency of the physiotherapeutic exercises.In this paper a smart, cost-effective and easy to use Feedback Training System for home rehabilitation based on standard resistive elements is introduced. This ensures high accuracy of the exercises performed and offers guidance and control to the patient by offering direct feedback about the performance of the movements.46 patients were recruited and performed standard physiotherapeutic training to evaluate the system. The results show a significant increase in the patient's ability to reproduce even simple physiotherapeutic exercises when being supported by the Feedback Training System. Thus physiotherapeutic training can be extended into the home environment whilst ensuring a high quality of training. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of NeuroEngineering & Rehabilitation (JNER) is the property of BioMed Central and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1186/1743-0003-7-2
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