Correcting waveform bias using principal component analysis: applications in multicentre motion analysis studies

Correcting waveform bias using principal component analysis: applications in multicentre motion analysis studies

Highlights • A method is proposed to allow for synthesis of multicentre waveform data. • Nuisance variation is removed using a principal component analysis-based technique. • Within-centre variation is maintained. • The method is successfully demonstrated on synthesized and real differences.

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Bibliographische Detailangaben
Veröffentlicht in:Gait & posture 2017-01, Vol.51, p.153-158
Hauptverfasser: Clouthier, Allison L, Bohm, Eric R, Rudan, John F, Shay, Barbara L, Rainbow, Michael J, Deluzio, Kevin J
Format: Artikel
Sprache:eng
Schlagworte:
Adult
Aged
Bias
Biomechanical Phenomena
Data Interpretation, Statistical
Female
Gait
Humans
Inter-laboratory
Knee Joint - physiology
Male
Motion analysis
Ontario
Orthopedics
Principal Component Analysis
Waveform data
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Beschreibung
Zusammenfassung:Highlights • A method is proposed to allow for synthesis of multicentre waveform data. • Nuisance variation is removed using a principal component analysis-based technique. • Within-centre variation is maintained. • The method is successfully demonstrated on synthesized and real differences.
ISSN:0966-6362
1879-2219
DOI:10.1016/j.gaitpost.2016.10.008