In vivo estimation of the glenohumeral joint rotation center from scapular bony landmarks by linear regression

Meskers, Carel G.M.; Helm, F.C.T. van der; Rozendaal, L.A.; Rozing, P. M.

doi:10.1016/s0021-9290(97)00101-2

Cited by 177 publications

(148 citation statements)

References 13 publications

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“…The glenohumeral joint center of rotation was determined using a kinematic estimation based on the calculation of instantaneous helical axes, and a geometric estimation based on a spherical fit through the surface of the glenoide (Meskers et al, 1998;Veeger, 2000).…”

Section: Data Reductionmentioning

confidence: 99%

Kinematic and electromyographic analyses of a karate punch

VencesBrito

Ferreira

Cortés

et al. 2011

Journal of Electromyography and Kinesiology

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a b s t r a c tThe aims of this study were: (i) to present the kinematic and electromyographic patterns of the chokuzuki punch performed by 18 experienced karatekas from the Portuguese team, and (ii) to compare it with the execution of 19 participants without any karate experience. The kinematic and electromyographic data were collected from the arm and forearm during the execution of the specific punch. A two-way analysis of variance (ANOVA) was used with significant level set at p 6 0.05. We found that the kinematic and neuromuscular activity in this punch occurs within 400 ms. Muscle activities and kinematic analysis presented a sequence of activation bracing a near-distal end, with the arm muscles showing greater intensity of activation than muscles in the forearm. In the skill performance, the arm, flexion and internal rotation, and the forearm extension and pronation movements were executed with smaller amplitude in the karate group. Based on the results of this study, the two groups' presented distinct kinematic and electromyographic patterns during the performance of the choku-zuki punch.

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Section: Data Reductionmentioning

confidence: 99%

Kinematic and electromyographic analyses of a karate punch

VencesBrito

Ferreira

Cortés

et al. 2011

Journal of Electromyography and Kinesiology

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“…Once all above data were collected, AL coordinates and kinematics were defined in their respective local reference frames (TSF, TAF or thorax). The glenohumeral center was computed by using scapular regression equation and expressed in the thorax [15].…”

Section: General Experimental Setting For Motion Analysis Of the Shoumentioning

confidence: 99%

Precision of shoulder anatomical landmark calibration by two approaches: A CAST-like protocol and a new anatomical palpator method

et al. 2009

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“…Kinematical input (arm position) was determined using 3D kinematical recording of one subject mounted in the experimental setup using an electromagnetic tracking device [15]. The ISG standardization protocol for the upper extremity including regression based GH-estimation [16,26] was used. A pointer was used to digitize 14 bony-landmarks with respect to sensors mounted on the thorax, the acromion [13], the upper arm and the forearm.…”

Section: Model Simulationsmentioning

confidence: 99%

Arm load magnitude affects selective shoulder muscle activation

Steenbrink

Meskers

Vliet

et al. 2009

Med Biol Eng Comput

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For isometric tasks, shoulder muscle forces are assumed to scale linearly with the external arm load magnitude, i.e., muscle force ratios are constant. Inverse dynamic modeling generally predicts such linear scaling behavior, with a critical role for the arbitrary load sharing criteria, i.e., the ''cost function''. We tested the linearity of the relation between external load magnitude exerted on the humerus and shoulder muscle activation. Six isometric force levels ranging from 17 to 100% of maximal arm force were exerted in 24 directions in a plane perpendicular to the longitudinal axis of the humerus. The direction of maximum muscle activation, the experimentally observed so called Principal Action (PA), was determined for each force magnitude in 12 healthy subjects. This experiment was also simulated with the Delft Shoulder and Elbow Model (DSEM) using two cost functions: (1) minimizing muscle stress and (2) a compound, energy related cost function. PA, both experimental (PA exp ) and simulated (PA sim ), was expected not to change with arm forces magnitudes. PA exp of the mm. trapezius pars descendens, deltoideus pars medialis and teres major changed substantially as a function of external force magnitude, indicating external load dependency of shoulder muscle activation. In DSEM simulations, using the stress cost function, small non-linearities in the muscle forceexternal load dependency were observed, originating from gravitational forces working on clavicular and scapular bone masses. More pronounced non-linearities were introduced by using the compound energy related cost function, but no similarity was observed between PA exp and PA sim .

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In vivo estimation of the glenohumeral joint rotation center from scapular bony landmarks by linear regression

Cited by 177 publications

References 13 publications

Kinematic and electromyographic analyses of a karate punch

Kinematic and electromyographic analyses of a karate punch

Precision of shoulder anatomical landmark calibration by two approaches: A CAST-like protocol and a new anatomical palpator method

Arm load magnitude affects selective shoulder muscle activation

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