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Research Day<br />

<strong>AGA</strong>2012-32<br />

Validierung eines Robotersystems zur Erforschung passiver gleno-humeraler Kinematik<br />

Evaluation of a Robotic Apparatus for the Analysis of Passive Glenohumeral Joint Kinematics<br />

Authors<br />

* Claudio Rosso Universitätsspital Basel Universität Basel Orthopädische Klinik, Basel, Switzerland<br />

Andreas Marc Müller Universitätsspital Basel Universität Basel Orthopädische Klinik, Basel, Switzerland<br />

Victor Valderrabano Universitätsspital Basel Universität Basel Orthopädische Klinik, Basel, Switzerland<br />

Andrea Cereatti Department of Biomedical Sciences University of Sassari Medical School, Sassari, Italy<br />

Joseph P. DeAngelis Beth Israel Deaconess Medical Center Harvard Medical School Department of<br />

Orthopaedic Surgery, Boston, United States<br />

Arun J. Ramappa Beth Israel Deaconess Medical Center Harvard Medical School Department of<br />

Orthopaedic Surgery, Boston, United States<br />

Ara Nazarian Beth Israel Deaconess Medical Center Harvard Medical School Center for Advanced<br />

Orthopaedic Studies, Boston, United States<br />

Ugo Della Croce Department of Biomedical Sciences University of Sassari Medical School, Sassari, Italy<br />

Abstract<br />

Fragstellung: The glenohumeral (GH) joint has the greatest range of motion in the human body but little intrinsic<br />

stability, thereby increasing its susceptibility to excessive translations and injury. Current models used to study<br />

shoulder kinematics are limited because they isolate the GH joint, implement dynamic motion patterns with low<br />

reproducibility, and track motions discontinuously or with limited accuracy. To overcome these limitations, we<br />

have designed a novel system in which the entire shoulder girdle is studied using highly reproducible trajectories<br />

created by a robotic actuator to control a full cadaveric torso.<br />

Methodik: High-speed cameras track bone markers and calibrated anatomical scapular landmarks for<br />

continuous registration of the center of the GH joint. In this study, we evaluated the system`s capacity to capture<br />

reproducibly GH translations in intact and pathologic shoulder conditions. We subjected a left and a right shoulder<br />

of two anthropometrically different cadaveric torsos to three sequential tri<strong>als</strong> of humeral elevation prior to and after<br />

the implementation and restoration of scapular winging as well as a full thickness supraspinatus tear.<br />

Ergebnis: The system was consistently capable of detecting differences in GH translations as small as 0.5mm<br />

between the intact, altered, and restored shoulder presentations. For each condition, three tri<strong>als</strong> were performed.<br />

The registration of GH translations was highly reproducible with intraclass correlation coefficients (ICC) of 0.77 to<br />

0.99 (P

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