DocumentCode :
2747008
Title :
Learning-based methods for the analysis of intralimb-coordination and adaptation of locomotor patterns in cerebellar patients
Author :
Ilg, W. ; Rörig, Rebecca ; Thier, Peter ; Giese, Martin A.
Author_Institution :
Hertie Inst. of Clinical Brain Res., Tubingen
fYear :
2007
fDate :
13-15 June 2007
Firstpage :
1090
Lastpage :
1095
Abstract :
In this paper, we present learning-based methods for the analysis of the spatio-temporal characteristics of multidimensional movement trajectories. We show the application of these methods in two studies analyzing the influence of the cerebellum on intra-limb coordination and adaptation of gait for cerebellar patients.
Keywords :
gait analysis; learning (artificial intelligence); medical computing; neurophysiology; patient rehabilitation; cerebellar patients; gait adaptation; intralimb coordination analysis; learning based methods; locomotor pattern adaptation; spatiotemporal multidimensional movement trajectory characteristics; Brain modeling; Degenerative diseases; Learning systems; Legged locomotion; Manufacturing automation; Nervous system; Pattern analysis; Rehabilitation robotics; Testing; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Rehabilitation Robotics, 2007. ICORR 2007. IEEE 10th International Conference on
Conference_Location :
Noordwijk
Print_ISBN :
978-1-4244-1319-5
Electronic_ISBN :
978-1-4244-1320-1
Type :
conf
DOI :
10.1109/ICORR.2007.4428559
Filename :
4428559
Link To Document :
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