research

digitizing physical rehabilitation

scientific publications

David V, Forjan M, Martinek J, Kotzian S, Jagos H, Rafolt D. Evaluating wearable multimodal sensor insoles for motion-pattern measurements in stroke rehabilitation – A pilot study. IEEE Int Conf Rehabil Robot. 2017 Jul;2017:1543-1548. doi: 10.1109/ICORR.2017.8009467. PubMed PMID: 28814039.

Jagos H, Pils K, Haller M, Wassermann C, Chhatwal C, Rafolt D, Rattay F. Mobile gait analysis via eSHOEs instrumented shoe insoles: a pilot study for validation against the gold standard GAITRite®. J Med Eng Technol. 2017 Jul;41(5):375-386. doi: 10.1080/03091902.2017.1320434. Epub 2017 Jun 2. PubMed PMID: 28573909.

Tkachenko B.A., Scherer M., David V., Kafka P., Sabo A., Jagos H. Development of a wearable live-feedback system to support partial weight-bearing while recovering from lower extremity injuries. 11th conference of the International Sports Engineering Association, ISEA 2016.

Jagos H, David V, Haller M, Kotzian S, Hofmann M, Schlossarek S, Eichholzer K, Winkler M, Frohner M, Reichel M, Mayr W, Rafolt D. A Framework for (Tele-) Monitoring of the Rehabilitation Progress in Stroke Patients: eHealth 2015 Special Issue. Appl Clin Inform. 2015 Dec 23;6(4):757-68. doi: 10.4338/ACI-2015-03-RA-0034. eCollection 2015. PubMed PMID: 26767068; PubMed Central PMCID: PMC4704043.

Jagos H., David V., Reichel M., Kotzian S., Schlossarek S., Haller M., Rafolt D. A Framework for (Tele-) Monitoring of Rehabilitation Progress in Stroke Patients. 12th International Conference on Wearable Micro and Nano Technologies for Personalized Healht, pHealth held at the Mälardalen University, SE-721 23 Västerås, Sweden; 2015 June 2-4.

Jagos H, David V, Reichel M, Kotzian S, Schlossarek S, Haller M, Rafolt D. Tele-monitoring of the rehabilitation progress in stroke patients. Stud Health Technol Inform. 2015;211:311-3. PubMed PMID: 25980890.

Pils K., Jagos H., Chhatwal C, Wassermann C. Evaluierung einer Mobilen Ganganalyse – eSHOE. Jahrestagung der Österreichischen Gesellschaft für Physikalische Medizin und Rehabilitation abgehalten im Technologie u. Forschungszentrum Wiener Neustadt; 2014 Okt 17-18.

Jagos H, Reich S, Rattay F, Mehnen L, Pils K, Wassermann C, Chhatwal C, Reichel M. Determination of Gait Parameters from the Wearable Motion Analysis System eSHOE. Biomed Tech (Berl). 2013 Sep 7. pii: /j/bmte.2013.58.issue-s1-K/bmt-2013-4241/bmt-2013-4241. xml. doi: 10.1515/bmt-2013-4241. [Epub ahead of print] PubMed PMID: 24042893.

Jagos H., David V., Litzenberger S., Reichel M.: vitaliSHOE – Monitoringsystem für Aktivität, Balance und Sturzrisiko bei älteren Menschen in Ihrer Alltagsumgebung. 6. Forschungsforum der österreichischen Fachhochschulen, Graz, 2012.

David V., Jagos H., Litzenberger S., Reichel M.: vitaliSHOE – Validierung des mobilen Bewegungsanalysesystems mit State-of-the-Art Messsystemen, Jahrestagung ÖGBMT, Hall 2012

Oberzaucher J., Jagos H., Zödl C., Hlauschek W., Zagler W.L. (2011); Extramural Fall Risk Assessment using a Wearable Insole Motion Measurement System – A Base for new AAL Applications; published at 2nd International Conference on Ambulatory Monitoring of Physical Activity and Movement, ICAMPAM (24.-27. Mai 2011, Glasgow)

Jagos H., Oberzaucher J. Posterpräsentation am Dt.-öste. Geriatriekongress 2011, Mai 2011, Wien

Jagos H., Oberzaucher J., Reichel M., Zagler W. L., Hlauschek. W. “A Multimodal Approach for Insole Motion Measurement and Analysis”, in procedia engineering – Te engineering of sport 8, 2010, Elsevier, ISBN 1877-7058

Oberzaucher, J., Jagos H., Zödl, C., Hlauschek, W. & Zagler W. L. (2010). Using a Wearable Insole Gait Analyzing System for Automated Mobility Assessment for Older People. In Proceedings of 12th ICCHP 2010, Springer Verlag, ISBN 978-3-642-14099-0.

Theses

PhD Theses – Technical University of Vienna

2016
H. Jagos – “Mobile Gait Analysis via instrumented Shoe Insoles – eSHOE. Detection of movement patterns and features in healthy subjects and hip fracture patients”

2011
J. Oberzaucher – “iAssessment – Aspekte eines instrumentierten Sturzrisikoassessments basierend auf einer extramuralen Gang und Bewegungsanalyse – im Hinblick auf eine Anwendung im Bereich des Ambient Assisted Living”

PhD Theses – Medical University of Vienna

ongoing
V. David

Masters’ Theses – UAS Technikum Wien

2017
A. Tkachenko – “Development of a mobile live-feedback-system for detection of load distribution between lower extremities”

2015
T. Haftner – “Energy harvesting and power management for the mobile gait analysis system eSHOE”

2014
M. Birnbaumer – “Evaluation of Home Assessments for stroke rehabilitation using the eSHOE System”
J. Flandorfer – “eBALANCE – Development and Usability Evaluation of a Computer Game for Rehabilitative Training”
K. Kastner – “Recording and generating reference data for the mobile gait analysis system eSHOE under laboratory conditions”

2013
S. Reich – “Development of a software package to gather, analyze and store gait data with the mobile motion analysis system eSHOE”

2012
V. David – “Development of Validation Methods for the Mobile Gait and Motion Pattern Analysis System vitaliSHOE”

2010
C. Zödl – “Sensorsystem zur Abstandsmessung”

Masters’ Theses – Zürcher Hochschule für angewandte Wissenschaften (ZHAW)

2014
D. Polasek – “Foot-Mounted IMU Sensor Data Processing for Gait Analysis Parameter Extraction”

Masters’ Theses – UAS Hagenberg

2011
L. Aigner – “Balancespiel”

Bachelors’ Theses – UAS Technikum Wien

2014
S. Durstberger – “Development of a graphic user interface to present data from the mobile motion analysis system eSHOE”
P. Laurent – “Assessment of calibration methods for force sensitive resistors for the purpose of the insole monitoring system eSHOE”

2012
M. Kury – “Stair climbing versus level walking: differences in gait parameters measured by vitaliSHOE insoles”

2011
S. Reich – “Validation and development of algorithms for calculating gait parameters out of vitaliSHOE insoles in level walking”
M. Kroath – “Evaluation of gait quality in the case of stair climbing using the vitaliSHOE”