Abstract:
:Experimental data in human movement science commonly consist of repeated measurements under comparable conditions. One can face the question how to identify a single trial, a set of trials, or erroneous trials from the entire data set. This study presents and evaluates a Selection Method for a Representative Trial (SMaRT) based on the Principal Component Analysis. SMaRT was tested on 1841 data sets containing 11 joint angle curves of gait analysis. The automatically detected characteristic trials were compared with the choice of three independent experts. SMaRT required 1.4s to analyse 100 data sets consisting of 8±3 trials each. The robustness against outliers reached 98.8% (standard visual control). We conclude that SMaRT is a powerful tool to determine a representative, uncontaminated trial in movement analysis data sets with multiple parameters.
journal_name
J Biomechjournal_title
Journal of biomechanicsauthors
Schweizer K,Cattin PC,Brunner R,Müller B,Huber C,Romkes Jdoi
10.1016/j.jbiomech.2012.06.012subject
Has Abstractpub_date
2012-08-31 00:00:00pages
2306-9issue
13eissn
0021-9290issn
1873-2380pii
S0021-9290(12)00344-2journal_volume
45pub_type
临床试验,杂志文章abstract::A composite cushion acetabular cup for a total hip replacement has been designed and developed jointly by Leeds University and DePuy International. In order to assess the long-term performance of this novel design, two sets of simulator tests of more than 4 million cycles duration have been carried out with the cushio...
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