Response to letter to the editor regarding "Application of principal component analysis in clinical gait research"

被引：1

作者：

Federolf, Peter ^{[1
,2
]}

Boyer, Katharine ^{[3
]}

Andriacchi, Thomas ^{[4
,5
,6
]}

机构：

[1] Norwegian Univ Sci & Technol NTNU, Fac Med, Dept Neurosci, N-7489 Trondheim, Norway

[2] Norwegian Sch Sport Sci, Dept Phys Performance, Oslo, Norway

[3] Univ Massachusetts, Dept Kinesiol, Amherst, MA 01003 USA

[4] Stanford Univ, Dept Mech Engn, Stanford, CA 94305 USA

[5] Stanford Univ, Dept Orthoped Surg, Stanford, CA 94305 USA

[6] Vet Adm, Palo Alto, CA USA

来源：

JOURNAL OF BIOMECHANICS | 2014年 / 47卷 / 06期

关键词：

KNEE OSTEOARTHRITIS; PCA; KINEMATICS;

D O I：

10.1016/j.jbiomech.2014.02.013

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 ;

摘要：

引用

页码：1555 / 1556

页数：2

共 17 条

[1] Repeatability of gait analysis for measuring knee osteoarthritis pain in patients with severe chronic pain [J].

Asay, Jessica L. ;

Boyer, Katherine A. ;

Andriacchi, Thomas P. .

JOURNAL OF ORTHOPAEDIC RESEARCH, 2013, 31 (07) :1007-1012

[2] Kinematic adaptations to a variable stiffness shoe: Mechanisms for reducing joint loading [J].

Boyer, K. A. ;

Federolf, P. ;

Lin, C. ;

Nigg, B. M. ;

Andriacchi, T. P. .

JOURNAL OF BIOMECHANICS, 2012, 45 (09) :1619-1624

[3]

Comfrey A., 1992, A first course in factor analysis

[4] PCA in studying coordination and variability: a tutorial [J].

Daffertshofer, A ;

Lamoth, CJC ;

Meijer, OG ;

Beek, PJ .

CLINICAL BIOMECHANICS, 2004, 19 (04) :415-428

[5] Human movement analysis using stereophotogrammetry - Part 4: assessment of anatomical landmark misplacement and its effects on joint kinematics [J].

Della Croce, U ;

Leardini, A ;

Chiari, L ;

Cappozzo, A .

GAIT & POSTURE, 2005, 21 (02) :226-237

[6] Biomechanical features of gait waveform data associated with knee osteoarthritis - An application of principal component analysis [J].

Deluzio, K. J. ;

Astephen, J. L. .

GAIT & POSTURE, 2007, 25 (01) :86-93

[7] Marker-based classification of youngelderly gait pattern differences via direct PCA feature extraction and SVMs [J].

Eskofier, Bjoern M. ;

Federolf, Peter ;

Kugler, Patrick F. ;

Nigg, Benno M. .

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2013, 16 (04) :435-442

[8] Application of principal component analysis in clinical gait research: Identification of systematic differences between healthy and medial knee-osteoarthritic gait [J].

Federolf, P. A. ;

Boyer, K. A. ;

Andriacchi, T. P. .

JOURNAL OF BIOMECHANICS, 2013, 46 (13) :2173-2178

[9] A Novel Approach to Solve the "Missing Marker Problem'' in Marker-Based Motion Analysis That Exploits the Segment Coordination Patterns in Multi-Limb Motion Data [J].

Federolf, Peter Andreas .

PLOS ONE, 2013, 8 (10)

[10] PCA CONSISTENCY IN HIGH DIMENSION, LOW SAMPLE SIZE CONTEXT [J].

Jung, Sungkyu ;

Marron, J. S. .

ANNALS OF STATISTICS, 2009, 37 (6B) :4104-4130

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