2016
DOI: 10.1016/j.jbiomech.2016.02.052
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A comparison of acromion marker cluster calibration methods for estimating scapular kinematics during upper extremity ergometry

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Cited by 12 publications
(2 citation statements)
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“…43 Increasing the number of calibration stages for scapular marker clusters placed on the acromion can improve accuracy, but this is not practical for all applications. 44 A recent study sought to improve modeling of scapular kinematics using machine learning algorithms to better predict scapular motion based on 3D video motion capture. 45 Scapular position predicted by the model was within 10 of the positions measured by biplanar fluoroscopy.…”
Section: Future Directionsmentioning
confidence: 99%
“…43 Increasing the number of calibration stages for scapular marker clusters placed on the acromion can improve accuracy, but this is not practical for all applications. 44 A recent study sought to improve modeling of scapular kinematics using machine learning algorithms to better predict scapular motion based on 3D video motion capture. 45 Scapular position predicted by the model was within 10 of the positions measured by biplanar fluoroscopy.…”
Section: Future Directionsmentioning
confidence: 99%
“…The acromion marker cluster (AMC) is a skin-based method of tracking scapular motion. This method has proven to be reliable and accurate during humeral elevation below 90° Lempereur et al, 2014;Lempereur et al, 2012;Meskers et al, 2007;van Andel et al, 2009;Warner et al, 2012;Warner et al, 2015) (flexion, abduction, and abduction in the scapular plane) and also in movements such as ergometry (Richardson et al, 2016), humeral external/internal rotation (Chu et al, 2012;Nicholson et al, 2014;van Andel et al, 2009), and movements of daily activities (Nicholson et al, 2014). However, the accuracy of recording scapular motion in activities that include various ranges and combinations of clavicular protraction, retraction, elevation, and depression, independent of humeral movement has not been comprehensively explored (Lawrence et al, 2014;Ludewig et al, 2004;).…”
Section: Introductionmentioning
confidence: 99%