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Gait Analysis and Posturography

eGaIT - embedded Gait analysis using Intelligent Technology
  • Parkinson`s disease (PD) is a chronic disorder of the central nervous system, characterized by degeneration of dopaminergic neurons leading to progressive gait dysfunction. To maintain patient’s quality of life, objective classification of gait symptoms in PD is crucial to adequately manage the individual treatment. We will establish a sensor based biometric gait-analysis that enables reproducible, objective, rater-independent assessment of gait symptoms. With a therapist independent rating completely comparable results can be reached. Different sensors (gyroscopes, accelerometers, in-sole pressure sensors,...) attached to a comfortable sport shoe detected motion signals assessed during standardized exercises while the subject is walking or sitting on a chair. Using pattern recognition methods, signal features should be analyzed from PD patients and healthy controls. Classification between patients and controls and a identification of different PD stages should be done. A pilot study suggests that biometric gait-analysis may be an important and complementary mean to support disease management in PD. Future biometric studies will help to monitor the disease course, to modify and adjust treatment thus rationalizing therapeutic decisions. To differentiate between PD specific and age dependent gait disorders also data from subjects in different  decades of life should be analyzed.

    Opens external link in new windowwww.egait.de

    EFI-Moves

    This project is a close cooperation between

     

    Picture A and B shows a patient while he is doing standardized exercises for recording motion signals. In A he is walks in a comfortable speed and in B he is doing a Heel-Toe-Tapping exercise. The sensor setup is shown in figure C, which is a sport shoe with attached inertial sensors. A typical gait signal of the gyroscope in the sagittal plane is shown in picture D.

    Articles in Conference Proceedings
    Reinfelder, Samuel; Durlak, Felix; Barth, Jens; Klucken, Jochen; Eskofier, Björn
    Wearable Static Posturography Solution Using a Novel Pressure Sensor Sole
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE (36th Annual International Conference of the IEEE EMBS), Chicago, Illinois, USA, August 26-30, 2014, pp. 2973-2976, 2014 (BiBTeX, Who cited this?)
    Journal Articles
    Klucken, Jochen; Barth, Jens; Eskofier, Björn; Winkler, Jürgen
    Biosensorische Bewegungserfassung beim Parkinson-Syndrom
    Neurologie & Rehabilitation, vol. 19, pp. 69-76, 2013 (BiBTeX, Who cited this?)
    Klucken, Jochen; Barth, Jens; Kugler, Patrick; Schlachetzki, Johannes; Henze, Thore; Marxreiter, Franz; Kohl, Zacharias; Steidl, Ralph; Hornegger, Joachim; Eskofier, Björn; Winkler, Juergen
    PLoS ONE, vol. 8, no. 2, pp. e56956, 2013 (BiBTeX, Who cited this?)
    Klucken, Jochen; Barth, Jens; Eskofier, Björn; Winkler, Jürgen
    Automated gait analysis in Parkinson's disease
    Basal Ganglia, vol. 3, no. 1, pp. 61, 2013 (BiBTeX, Who cited this?)
    Barth, Jens; Eskofier, Björn; Winkler, Jürgen; Klucken, Jochen
    Individualized rating of motor impairment using sensor-based gait analysis in Parkinson's disease by multiparametric regression
    Basal Ganglia, vol. 3, no. 1, pp. 52-53, 2013 (BiBTeX, Who cited this?)
    Articles in Conference Proceedings
    Barth, Jens; Oberndorfer, Cäcilia; Kugler, Patrick; Schuldhaus, Dominik; Winkler, Jürgen; Klucken, Jochen; Eskofier, Björn
    Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE (35th Annual International Conference of the IEEE EMBS), Osaka, Japan, July 3-7, 2013, pp. 6744-6747, 2013 (BiBTeX, Who cited this?)
    BSA Conference 2013 - Biosignal Analysis, Rio de Janeiro, Brazil, 21.10.2013-24.10.2013, pp. 1-4, 2013 (BiBTeX, Who cited this?)
    Barth, Jens; Suenkel, Michael; Bergner, Katharina; Schickhuber, Gerald; Winkler, Juergen; Klucken, Jochen; Eskofier, Björn
    Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE (EMBC), San Diego CA, USA, Aug. 28 2012-Sept. 1 2012, pp. 5122-5125, 2012 (BiBTeX, Who cited this?)
    Journal Articles
    Klucken, Jochen; Barth, Jens; Maertens, Katharina; Eskofier, Björn; Kugler, Patrick; Steidl, Ralph; Hornegger, Joachim; Winkler, Jürgen
    Mobile biometrische Ganganalyse
    Der Nervenarzt 2011, no. 12, pp. 1604-1611, 2011 (BiBTeX, Who cited this?)
    Articles in Conference Proceedings
    Barth, Jens; Klucken, Jochen; Kugler, Patrick; Kammerer, Thomas; Steidl, Ralph; Winkler, Jürgen; Hornegger, Joachim; Eskofier, Björn
    Biometric and Mobile Gait Analysis for Early Detection and Therapy Monitoring in Parkinson's Disease
    Engineering in Medicine and Biology Society,EMBC, 2011 Annual International Conference of the IEEE (33rd Annual International Conference of the IEEE EMBS), Boston, USA, August 30 - September 3, 2011, pp. 868-871, 2011 (BiBTeX, Who cited this?)
Biomechanical investigation of gait phases
  • The analysis of spatiotemporal parameters of gait is important in different contexts such as classification of diseases or for monitoring of treatment outcomes. Spatiotemporal parameters used in gait analyses do usually not include the durations of all distinct gait sub phases such as loading response, mid stance, terminal stance and pre swing. In this study we focused on the dependency of the gait sub phase durations on speed.

    The data of this study can be found on www.activitynet.org


     

     


    Journal Articles
    Kluge, Felix; Leibold, Andreas; Krinner, Sebastian; Welsch, Götz; Lochmann, Matthias; Eskofier, Björn
    Effect of walking speed on gait sub phase durations
    Human Movement Science, vol. 43, pp. 118-124, 2015 (BiBTeX, Who cited this?)
    Articles in Conference Proceedings
    Kluge, Felix; Leibold, Andreas; Krinner, Sebastian; Welsch, Götz; Lochmann, Matthias; Eskofier, Björn
    Speed modelling of relative gait phase durations
    XXV Congress of the International Society of Biomechanics, Glasgow, UK, 12.-16. July 2015, pp. 1835-1836, 2015 (BiBTeX, Who cited this?)