A methodological modular framework is presented for automated assessment of gait patterns. The processing steps of data selection, gait parameter calculation and evaluation are not limited to a specific field of application and are largely independent of case-based clinical expert knowledge. For these steps, a variety of mathematical methods was used and the validity of the approach to assess gait parameters tested by applying it to the clinical problem of Botulinum Toxin A (BTX-A) treatment of the spastic equinus foot. A set of 3670 parameters was ranked by relevance for classification of a group of 42 diplegic cerebral palsy (CP) patients and an age-matched reference group. The same procedure was performed for pre- and post-therapeutic data sets of these patients. Gait parameters of high relevance coincided well with results of previous studies based on partly manual and more subjective parameter selection. A norm distance measure is introduced to facilitate the quantification of deviations from a normal walking pattern and can be used as an overall scalar measure to evaluate differences in gait patterns or as a set of measures attributing each joint angle separately.
%0 Journal Article
%1 Wolf2006
%A Wolf, Sebastian
%A Loose, Tobias
%A Schablowski, Matthias
%A D?derlein, Leonhard
%A Rupp, R?diger
%A Gerner, Hans J?rgen
%A Bretthauer, Georg
%A Mikut, Ralf
%D 2006
%J Gait Posture
%K Automation; Botulinum Toxin Type A; Cerebral Palsy; Child; Equinus Deformity; Female; Gait Disorders, Neurologic; Humans; Male; Muscle Spasticity; Neuromuscular Agents
%N 3
%P 331--338
%R 10.1016/j.gaitpost.2005.04.004
%T Automated feature assessment in instrumented gait analysis.
%U http://dx.doi.org/10.1016/j.gaitpost.2005.04.004
%V 23
%X A methodological modular framework is presented for automated assessment of gait patterns. The processing steps of data selection, gait parameter calculation and evaluation are not limited to a specific field of application and are largely independent of case-based clinical expert knowledge. For these steps, a variety of mathematical methods was used and the validity of the approach to assess gait parameters tested by applying it to the clinical problem of Botulinum Toxin A (BTX-A) treatment of the spastic equinus foot. A set of 3670 parameters was ranked by relevance for classification of a group of 42 diplegic cerebral palsy (CP) patients and an age-matched reference group. The same procedure was performed for pre- and post-therapeutic data sets of these patients. Gait parameters of high relevance coincided well with results of previous studies based on partly manual and more subjective parameter selection. A norm distance measure is introduced to facilitate the quantification of deviations from a normal walking pattern and can be used as an overall scalar measure to evaluate differences in gait patterns or as a set of measures attributing each joint angle separately.
@article{Wolf2006,
abstract = {A methodological modular framework is presented for automated assessment of gait patterns. The processing steps of data selection, gait parameter calculation and evaluation are not limited to a specific field of application and are largely independent of case-based clinical expert knowledge. For these steps, a variety of mathematical methods was used and the validity of the approach to assess gait parameters tested by applying it to the clinical problem of Botulinum Toxin A (BTX-A) treatment of the spastic equinus foot. A set of 3670 parameters was ranked by relevance for classification of a group of 42 diplegic cerebral palsy (CP) patients and an age-matched reference group. The same procedure was performed for pre- and post-therapeutic data sets of these patients. Gait parameters of high relevance coincided well with results of previous studies based on partly manual and more subjective parameter selection. A norm distance measure is introduced to facilitate the quantification of deviations from a normal walking pattern and can be used as an overall scalar measure to evaluate differences in gait patterns or as a set of measures attributing each joint angle separately.},
added-at = {2014-07-19T21:56:23.000+0200},
author = {Wolf, Sebastian and Loose, Tobias and Schablowski, Matthias and D?derlein, Leonhard and Rupp, R?diger and Gerner, Hans J?rgen and Bretthauer, Georg and Mikut, Ralf},
biburl = {https://www.bibsonomy.org/bibtex/215e0955474c625bd5c0542bb912a95fa/ar0berts},
doi = {10.1016/j.gaitpost.2005.04.004},
groups = {public},
interhash = {2a77c7f218fd2962a401d9a68690ca9e},
intrahash = {15e0955474c625bd5c0542bb912a95fa},
journal = {Gait Posture},
keywords = {Automation; Botulinum Toxin Type A; Cerebral Palsy; Child; Equinus Deformity; Female; Gait Disorders, Neurologic; Humans; Male; Muscle Spasticity; Neuromuscular Agents},
month = Apr,
number = 3,
pages = {331--338},
pii = {S0966-6362(05)00054-8},
pmid = {15955701},
timestamp = {2014-07-19T21:56:23.000+0200},
title = {Automated feature assessment in instrumented gait analysis.},
url = {http://dx.doi.org/10.1016/j.gaitpost.2005.04.004},
username = {ar0berts},
volume = 23,
year = 2006
}