Applied Clinical Informatics, Table of Contents Appl Clin Inform 2015; 06(04): 757-768DOI: 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 Recommend Article Abstract Full Text PDF Download Keywords KeywordsChronic disease - stroke - hemiplegia - gait - medical rehabilitation - motivation - exercise therapy - quality of life References 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.
