1993
DOI: 10.1016/0021-9290(93)90091-r
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Finger joint force minimization in pianists using optimization techniques

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Cited by 72 publications
(54 citation statements)
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“…Currently, applied fingertip loads and finger postures are used as the input or independent variables in inverse biomechanic models to predict tendon force (7). Harding et al (13) specifically assumed quasi-static equilibrium-that is, a simple proportional relationship-during the dynamic activity of piano playing. These models, however, have not been validated for dynamic applications, and hence the internal tendon force (dosage) during a keystroke remains unknown.…”
Section: Discussionmentioning
confidence: 99%
“…Currently, applied fingertip loads and finger postures are used as the input or independent variables in inverse biomechanic models to predict tendon force (7). Harding et al (13) specifically assumed quasi-static equilibrium-that is, a simple proportional relationship-during the dynamic activity of piano playing. These models, however, have not been validated for dynamic applications, and hence the internal tendon force (dosage) during a keystroke remains unknown.…”
Section: Discussionmentioning
confidence: 99%
“…Early studies of hand movements while playing the piano used tools such as dynamometers, strain-gauge transducers and optimization estimations to inspect the force exerted by hand during performances (Harding et al, 1989(Harding et al, , 1993Wolf et al, 1993). Other experiments have used electromyography (EMG) to detect the muscular contraction forces of the limbs while playing the piano (Grieco et al, 1989;Bejjani et al, 1989).…”
Section: Discussionmentioning
confidence: 99%
“…Kinematic dimensionality is often reduced to limit motion to a plane, when arm motion is stimulated. Furthermore, the number of muscles controlled independently is often reduced for simplicity and computational convenience [72,73]. Fuglevand et al, proposed models to investigate muscle physiology, electromyography, and force variability, but these were limited to the study of single muscles [74].…”
Section: Computational Approaches To the Motor Systemmentioning
confidence: 99%