A New, Effective and Low-Cost Three-Dimensional Approach for the Estimation of Upper-Limb Volume
AbstractThe aim of this research was to validate a new procedure (SkanLab) for the three-dimensional estimation of total arm volume. SkanLab is based on a single structured-light Kinect sensor (Microsoft, Redmond, WA, USA) and on Skanect (Occipital, San Francisco, CA, USA) and MeshLab (Visual Computing Lab, Pisa, Italy) software. The volume of twelve plastic cylinders was measured using geometry, as the reference, water displacement and SkanLab techniques (two raters and repetitions). The right total arm volume of thirty adults was measured by water displacement (reference) and SkanLab (two raters and repetitions). The bias and limits of agreement (LOA) between techniques were determined using the Bland–Altman method. Intra- and inter-rater reliability was assessed using the intraclass correlation coefficient (ICC) and the standard error of measurement. The bias of SkanLab in measuring the cylinders volume was −21.9 mL (−5.7%) (LOA: −62.0 to 18.2 mL; −18.1% to 6.7%) and in measuring the volume of arms’ was −9.9 mL (−0.6%) (LOA: −49.6 to 29.8 mL; −2.6% to 1.4%). SkanLab’s intra- and inter-rater reliabilities were very high (ICC >0.99). In conclusion, SkanLab is a fast, safe and low-cost method for assessing total arm volume, with high levels of accuracy and reliability. SkanLab represents a promising tool in clinical applications. View Full-Text
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Buffa, R.; Mereu, E.; Lussu, P.; Succa, V.; Pisanu, T.; Buffa, F.; Marini, E. A New, Effective and Low-Cost Three-Dimensional Approach for the Estimation of Upper-Limb Volume. Sensors 2015, 15, 12342-12357.
Buffa R, Mereu E, Lussu P, Succa V, Pisanu T, Buffa F, Marini E. A New, Effective and Low-Cost Three-Dimensional Approach for the Estimation of Upper-Limb Volume. Sensors. 2015; 15(6):12342-12357.Chicago/Turabian Style
Buffa, Roberto; Mereu, Elena; Lussu, Paolo; Succa, Valeria; Pisanu, Tonino; Buffa, Franco; Marini, Elisabetta. 2015. "A New, Effective and Low-Cost Three-Dimensional Approach for the Estimation of Upper-Limb Volume." Sensors 15, no. 6: 12342-12357.