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Fig. 3 | BMC Musculoskeletal Disorders

Fig. 3

From: Conformity assessment of a computer vision-based posture analysis system for the screening of postural deformation

Fig. 3

Principal component analysis for the decision results. Principal component analysis for the decision results for the participants (n = 140). a Eigenvectors of the parameters extracted from CDSS with principal components axes (b) Main parameters for SHD, PHD, and LLD as principal components. (Abbreviations: PC1, Principal component 1; PC2, Principal component 2; SHD, Shoulder height difference; EHD, Elbow height difference; WHD, Wrist height difference; PHD, Pelvic height difference; KHD, Knee height difference; AHD, Ankle height difference; LLD, Leg length discrepancy; CDSS, Clinical decision support system; Diff, Difference)

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BMC Musculoskeletal Disorders

ISSN: 1471-2474

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