Download PDF
Appl Clin Inform 2015; 06(04): 757-768
DOI: 10.4338/ACI-2015-03-RA-0034
Research Article
Schattauer GmbH

A Framework for (Tele-) Monitoring of the Rehabilitation Progress in Stroke Patients

eHealth 2015 Special Issue
H. Jagos
1   Medical University of Vienna, Center for medical Physics and biomedical Engineering, Vienna, Austria
,
V. David
2   University of Applied Sciences Technikum Wien, Vienna, Austria
,
M. Haller
1   Medical University of Vienna, Center for medical Physics and biomedical Engineering, Vienna, Austria
,
S. Kotzian
3   Neurological Rehabilitation Center Rosenhügel, Vienna, Austria
,
M. Hofmann
3   Neurological Rehabilitation Center Rosenhügel, Vienna, Austria
,
S. Schlossarek
4   a3L e-Solutions GmbH, Vienna, Austria
,
K. Eichholzer
3   Neurological Rehabilitation Center Rosenhügel, Vienna, Austria
,
M. Winkler
3   Neurological Rehabilitation Center Rosenhügel, Vienna, Austria
,
M. Frohner
2   University of Applied Sciences Technikum Wien, Vienna, Austria
,
M. Reichel
2   University of Applied Sciences Technikum Wien, Vienna, Austria
,
W. Mayr
1   Medical University of Vienna, Center for medical Physics and biomedical Engineering, Vienna, Austria
,
D. Rafolt
1   Medical University of Vienna, Center for medical Physics and biomedical Engineering, Vienna, Austria
› Author Affiliations
Further Information

Publication History

received: 07 April 2015

accepted: 12 May 2015

Publication Date:
19 December 2017 (online)

Also available at
   Permissions and Reprints

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
 

  • 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.
    CrossrefPubMedSearch in Google Scholar
  • 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.
    CrossrefPubMedSearch in Google Scholar
  • 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.
    PubMedSearch in Google Scholar
  • 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
    Search in Google Scholar
  • 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.
    CrossrefPubMedSearch in Google Scholar
  • 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.
    CrossrefPubMedSearch in Google Scholar
  • 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.
    PubMedSearch in Google Scholar
  • 8 Pils K, Jagos H, Wassermann C, Chhatwal C. Evaluierung einer mobilen Ganganalyse –eSHOE. Phys Med Rehab Kuror 2014; 24: 1-14.
    Thieme ConnectPubMedSearch in Google Scholar