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DOI: 10.4338/ACI-2015-03-RA-0034
A Framework for (Tele-) Monitoring of the Rehabilitation Progress in Stroke Patients
eHealth 2015 Special Issue
Summary
Background: Preservation of mobility in conjunction with an independent life style is one of the major goals of rehabilitation after stroke.
Objectives: The Rehab@Home framework shall support the continuation of rehabilitation at home.
Methods: The framework consists of instrumented insoles, connected wirelessly to a 3G ready tablet PC, a server, and a web-interface for medical experts. The rehabilitation progress is estimated via automated analysis of movement data from standardized assessment tests which are designed according to the needs of stroke patients and executed via the tablet PC application.
Results: The Rehab@Home framework’s implementation is finished and ready for the field trial (at five patients’ homes). Initial testing of the automated evaluation of the standardized mobility tests shows reproducible results.
Conclusions: Therefore it is assumed that the Rehab@Home framework is applicable as monitoring tool for the gait rehabilitation progress in stroke patients.
Keywords
Chronic disease - stroke - hemiplegia - gait - medical rehabilitation - motivation - exercise therapy - quality of life
Conflicts of interest
The authors declare that they have no conflicts of interest in the research.
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References
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- 6 Bohannon RW. Reference values for the five-repetition sit-to-stand test: a descriptive meta-analysis of data from elders. Percept Mot Skills 2006; 103 (01) 215-222.
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Correspondence to:
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References
- 1 Duncan PW, Zorowitz R, Bates B, Choi JY, Glasberg JJ, Graham GD, Katz RC, Lamberty K, Reker D. Management of Adult Stroke Rehabilitation Care: A Clinical Practice Guideline. Stroke 2005; 36 (09) e100-e143.
- 2 Jørgensen HS, Nakayama H, Raaschou HO, Olsen TS. Recovery of walking function in stroke patients: The copenhagen stroke study. Archives of Physical Medicine and Rehabilitation 1995; 76 (01) 27-32.
- 3 Shumway-Cook A, Brauer S, Woollacott M. Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test. Physical therapy 2000; 80 (09) 896-903.
- 4 Oberzaucher J. iAssessment –Aspekte eines instrumentierten Sturzrisiko-assessments basierend auf einer extramuralen Gang- und Bewegungs-analyse –im Hinblick auf eine Anwendung im Bereich des Ambient Assisted Living [dissertation]. Vienna (Austria): Vienna University of Technology; 2011
- 5 Beninato M, Portney LG, Sullivan PE. Using the International Classification of Functioning, Disability and Health as a framework to examine the association between falls and clinical assessment tools in people with stroke. Phys Ther 2009; 89 (08) 816-825.
- 6 Bohannon RW. Reference values for the five-repetition sit-to-stand test: a descriptive meta-analysis of data from elders. Percept Mot Skills 2006; 103 (01) 215-222.
- 7 Popović MD, Kostić MD, Rodić SZ, Konstantinović LM. Feedback-mediated upper extremities exercise: increasing patient motivation in poststroke rehabilitation. Biomed Res Int 2014; 2014: 520374.
- 8 Pils K, Jagos H, Wassermann C, Chhatwal C. Evaluierung einer mobilen Ganganalyse –eSHOE. Phys Med Rehab Kuror 2014; 24: 1-14.