|
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 an 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.
| Project manager: Ralph Steidl
Project participants: Prof. Dr. med. Jürgen Winkler, Prof. Dr. Jochen Klucken, Dipl.-Ing. Jens Barth, Dipl.-Phys. Samuel Reinfelder
Keywords: Parkinson; Motion analysis; gait impairments; inertial sensors; gyroscopes; accelerometers; signal analysis
Duration: 8.12.2011 - 7.12.2014
Sponsored by: Bayerische Forschungsstiftung
Mitwirkende Institutionen: ASTRUM IT GmbH Universitätsklinikum Erlangen, Abteilung für Molekulare Neurologie, Spezialambulanz für Bewegungsstörungen
Contact: Barth, Jens Phone +49 9131 85 28990, Fax +49 9131 85 27270, E-Mail: jens.barth@cs.fau.de
| Publications |
---|
Barth, Jens ; Sünkel, Michael ; Eskofier, Björn ; Klucken, Jochen: Combined analysis of hand and gait motor function in Parkinson's disease (Talk).Talk: Kongress und Ausstellung MedTech Pharma und Medizin Innovativ 2012, MedTech Pharma, Nürnberg, 05.07.2012 | 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. In: IEEE Engineering in Medicine and Biology Society (Org.) : 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). 2011, pp 868-871. | Klucken, Jochen ; Barth, Jens ; Maertens, Katharina ; Eskofier, Björn ; Kugler, Patrick ; Steidl, Ralph ; Hornegger, Joachim ; Winkler, Jürgen: Mobile biometrische Ganganalyse. In: Der Nervenarzt 2011 (2011), No. 12, pp 1604-1611 [doi>10.1007/s00115-011-3329-0] | Klucken, Jochen ; Barth, Jens ; Eskofier, Björn ; Winkler, Jürgen: Automated gait analysis in Parkinson's disease. In: Basal Ganglia 3 (2013), No. 1, pp 61 [doi>10.1016/j.baga.2013.01.058] | Klucken, Jochen ; Barth, Jens ; Eskofier, Björn ; Winkler, Jürgen: Biosensorische Bewegungserfassung beim Parkinson-Syndrom. In: Neurologie & Rehabilitation 19 (2013), No. 0, pp 69-76 | 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. In: Basal Ganglia 3 (2013), No. 1, pp 52-53 [doi>10.1016/j.baga.2013.01.037] | 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. In: IEEE Engineering in Medicine and Biology Society (Ed.) : 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). 2013, pp 6744-6747. [doi>10.1109/EMBC.2013.6611104] | Klucken, Jochen ; Barth, Jens ; Kugler, Patrick ; Schlachetzki, Johannes ; Henze, Thore ; Marxreiter, Franz ; Kohl, Zacharias ; Steidl, Ralph ; Hornegger, Joachim ; Eskofier, Björn ; Winkler, Juergen: Unbiased and Mobile Gait Analysis Detects Motor Impairment in Parkinson's Disease. In: PLoS ONE 8 (2013), No. 2, pp e56956 [doi>10.1371/journal.pone.0056956] |
Institution: Chair of Computer Science 5 (Pattern Recognition)
|
|
|