scholarly journals Comparison of Two Methods for In Vivo Estimation of the Glenohumeral Joint Rotation Center (GH-JRC) of the Patients with Shoulder Hemiarthroplasty

PLoS ONE ◽  
2011 ◽  
Vol 6 (3) ◽  
pp. e18488 ◽  
Author(s):  
Ali Asadi Nikooyan ◽  
Frans C. T. van der Helm ◽  
Peter Westerhoff ◽  
Friedmar Graichen ◽  
Georg Bergmann ◽  
...  
Keyword(s):  
Glenohumeral Joint ◽  
Joint Rotation ◽  
Shoulder Hemiarthroplasty ◽  
Rotation Center

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

1997 ◽  
Vol 31 (1) ◽  
pp. 93-96 ◽  
Author(s):  
C.G.M. Meskers ◽  
F.C.T. van der Helm ◽  
L.A. Rozendaal ◽  
P.M. Rozing
Keyword(s):  
Linear Regression ◽  
Glenohumeral Joint ◽  
Joint Rotation ◽  
Rotation Center ◽  
Bony Landmarks

scholarly journals Real-Time Estimation of Glenohumeral Joint Rotation Center With Cable-Driven Arm Exoskeleton (CAREX)—A Cable-Based Arm Exoskeleton

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Ying Mao ◽  
Xin Jin ◽  
Sunil K. Agrawal
Keyword(s):  
Real Time ◽  
Glenohumeral Joint ◽  
Kinematic Model ◽  
Estimation Method ◽  
Time Estimation ◽  
Estimation Algorithm ◽  
Joint Rotation ◽  
Rotation Center ◽  
Arm Rehabilitation ◽  
Novel Approach

In the past few years, the authors have proposed several prototypes of a Cable-driven upper ARm EXoskeleton (CAREX) for arm rehabilitation. One of the assumptions of CAREX was that the glenohumeral joint rotation center (GH-c) remains stationary in the inertial frame during motion, which leads to inaccuracy in the kinematic model and may hamper training performance. In this paper, we propose a novel approach to estimate GH-c using measurements of shoulder joint angles and cable lengths. This helps in locating the GH-c center appropriately within the kinematic model. As a result, more accurate kinematic model can be used to improve the training of human users. An estimation algorithm is presented to compute the GH-c in real-time. The algorithm was implemented on the latest prototype of CAREX. Simulations and preliminary experimental results are presented to validate the proposed GH-c estimation method.

Real-Time Estimation of Glenohumeral Joint Rotation Center With CAREX: A Cable-Based Arm Exoskeleton

2012 ◽  
Author(s):  
Ying Mao ◽  
Xin Jin ◽  
Sunil K. Agrawal
Keyword(s):  
Real Time ◽  
Healthy Subjects ◽  
Degrees Of Freedom ◽  
Glenohumeral Joint ◽  
Kinematic Model ◽  
Time Estimation ◽  
Estimation Algorithm ◽  
Experimental Results ◽  
Joint Rotation ◽  
Rotation Center

In the past few years, the authors have proposed several prototypes of a Cable-driven upper ARm EXoskeleton (CAREX) for arm rehabilitation. The key advantages of CAREX over conventional exoskeletons are: (i) It is nearly an order of magnitude lighter. (ii) It does not have conventional links and joints, hence does not require joint axes alignment and segment lengths adjustment. (iii) It does not limit the natural degrees-of-freedom of the upper limb. (iv) The structure of the exoskeleton is novel as the cables are routed from the proximal to the distal segments of the arm. Preliminary experimental results with CAREX on a robotic arm and on healthy subjects have demonstrated the effectiveness of the exoskeleton within “assist-as-needed” training paradigm. In this paper, we propose a novel approach to estimate the glenohumeral joint rotation center (GH-c) using measurements of shoulder joint angles and cable lengths. This helps in locating the glenohumeral joint rotation center appropriately within the kinematic model. As a result, more accurate kinematic model can be used to improve the training of human users. An estimation algorithm is presented to compute the GH-c in real-time. The algorithm was implemented on the latest prototype of CAREX which controls four degrees-of-freedom of the shoulder and elbow. Preliminary experiments were performed on two healthy subjects under two different scenarios: (i) GH-c was assumed to be a fixed point and (ii) GH-c was estimated using the proposed algorithm. Experimental results are presented to compare the two scenarios.

The glenohumeral joint rotation centre in vivo

2000 ◽  
Vol 33 (12) ◽  
pp. 1629-1636 ◽  
Author(s):  
M. Stokdijk ◽  
J. Nagels ◽  
P.M. Rozing
Keyword(s):  
Glenohumeral Joint ◽  
Joint Rotation

Effect of Arthroscopic Stabilization on In Vivo Glenohumeral Joint Motion and Clinical Outcomes in Patients With Anterior Instability

2015 ◽  
Vol 43 (11) ◽  
pp. 2800-2808 ◽  
Author(s):  
Cathryn D. Peltz ◽  
Timothy G. Baumer ◽  
Veronica Mende ◽  
Nicole Ramo ◽  
Nima Mehran ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Glenohumeral Joint ◽  
Joint Motion ◽  
Arthroscopic Stabilization ◽  
Anterior Instability

Influence of the Musculotendon Dynamics on the Muscle Force-Sharing Problem of the Shoulder—A Fully Inverse Dynamics Approach

2018 ◽  
Vol 140 (7) ◽  
Author(s):  
Quental Carlos ◽  
Azevedo Margarida ◽  
Ambrósio Jorge ◽  
Gonçalves S. B. ◽  
Folgado João
Keyword(s):  
Muscle Activation ◽  
Inverse Dynamics ◽  
Glenohumeral Joint ◽  
Inverse Dynamic ◽  
Force Sharing ◽  
Joint Reaction Forces ◽  
Reaction Forces ◽  
Muscle Activations ◽  
Joint Reaction

Abstract Most dynamic simulations are based on inverse dynamics, being the time-dependent physiological nature of the muscle properties rarely considered due to numerical challenges. Since the influence of muscle physiology on the consistency of inverse dynamics simulations remains unclear, the purpose of the present study is to evaluate the computational efficiency and biological validity of four musculotendon models that differ in the simulation of the muscle activation and contraction dynamics. Inverse dynamic analyses are performed using a spatial musculoskeletal model of the upper limb. The muscle force-sharing problem is solved for five repetitions of unloaded and loaded motions of shoulder abduction and shoulder flexion. The performance of the musculotendon models is evaluated by comparing muscle activation predictions with electromyography (EMG) signals, measured synchronously with motion for 11 muscles, and the glenohumeral joint reaction forces estimated numerically with those measured in vivo. The results show similar muscle activations for all muscle models. Overall, high cross-correlations are computed between muscle activations and the EMG signals measured for all movements analyzed, which provides confidence in the results. The glenohumeral joint reaction forces estimated compare well with those measured in vivo, but the influence of the muscle dynamics is found to be negligible. In conclusion, for slow-speed, standard movements of the upper limb, as those studied here, the activation and musculotendon contraction dynamics can be neglected in inverse dynamic analyses without compromising the prediction of muscle and joint reaction forces.

Quantitative Assessment of Glenohumeral Joint Forces in Positions of Overhead Activities: Effects of Shoulder Arthroplasty

2002 ◽  
Author(s):  
Thay Q. Lee ◽  
Mark Schamblin ◽  
Bruce Y. Yang ◽  
Michelle H. McGarry ◽  
Ranjan Gupta
Keyword(s):  
Shoulder Arthroplasty ◽  
Glenohumeral Joint ◽  
Total Shoulder Arthroplasty ◽  
Glenoid Component ◽  
Shoulder Hemiarthroplasty ◽  
Adequate Pain Relief ◽  
Joint Forces ◽  
Before And After ◽  
Total Knee ◽  
Component Loosening

Glenohumeral arthroplasty as well as hemiarthroplasty, although providing adequate pain relief, has not shared in the success of similar joint replacement procedures such as total knee arthroplasty or total hip arthroplasty. Short comings of this procedure include a decreased range of motion postoperatively as well as increased incidents of glenoid component loosening in total shoulder procedures. This is especially a problem in the end ranges of motion where eccentric loading of the glenoid component are thought to occur. The purpose of this study was to quantify the glenohumeral joint forces before and after bipolar shoulder hemiarthroplasty and total shoulder arthroplasty for positions simulating overhead activities and commonly relied upon by the wheelchair dependent individual.

A 3D Shoulder Scan Compatible Humeral Coordinate System for Glenohumeral Joint Kinematics

2009 ◽  
Author(s):  
Hippolite O. Amadi
Keyword(s):  
Coordinate System ◽  
Radiation Exposure ◽  
Glenohumeral Joint ◽  
Patient Specific ◽  
Body Region ◽  
Radiographic Images ◽  
Volume Of Interest ◽  
Patient Specific Modeling ◽  
Definition Of

Advanced surgical planning techniques often require modeling the functional characteristics of the affected body region. Most patient-specific modeling in vivo relies on medical image scans that are expensive and may also allow patient’s exposure to ionizing radiation. This poses a challenge for the modeling of the kinematics of the glenohumeral joint (GHJ) based on the tissue geometries of the affected patients. The humeral morphology uniquely presents its canal (HC) and epicondyle (EC) axes as the two longest axes that are nearly orthogonal. This gives them the mathematical advantages as best axes for the definition of humeral coordinate system (HCS), especially from 2D radiographic images. This is however limited in 3D in vivo kinematics as minimization of radiation exposure may not allow medical imaging of the whole volume of interest all the way down to the distal epicondyles. It is therefore necessary that landmarks for use are captured within the field of view (FOV) of standard shoulder scans. This would avoid extra radiation exposure to patients and imaging cost as the scan might have been used earlier for traditional diagnosis. The aims of this study were to (1) confirm that HC-axis quantified from a ‘stack of discs (SOD)’ technique was the most reliable and consistent (2) identify the most closely oriented or most inter-subject related axis to the EC-axis for its replacement or prediction respectively from 3D proximal humeral scan and (3) use these to propose a HCS definition procedure that can be applied to a standard shoulder scan.

scholarly journals COMPARISON OF GLENOHUMERAL JOINT ROTATION RANGE OF MOTION IN YOUNG ATHLETES

2019 ◽  
Vol 25 (1) ◽  
pp. 53-57
Author(s):  
Felipe Ribeiro Pereira ◽  
Gabriela G. Pavan Gonçalves ◽  
Deborah Rocha Reis ◽  
Izabel C. P Rohlfs ◽  
Luciana De Michelis Mendonça ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Functional Performance ◽  
Glenohumeral Joint ◽  
Young Athletes ◽  
Level Of Evidence ◽  
Joint Rotation ◽  
Shoulder Range Of Motion ◽  
Medial Rotation ◽  
Lateral Rotation ◽  
Overhead Throwing

ABSTRACT Introduction: Overhead-throwing athletes undergo changes in shoulder range of motion (ROM) due to sports activities, such as excessive amplitude, lateral rotation (LR) increase and medial rotation (MR) restriction. Asymmetry greater than 20° may render athletes more prone to injuries. There are similarities among sports featuring overhead throwing due to the considerable amount of movements involving maximum lateral rotation. In these sports, medial rotation (MR) restriction, excess of lateral rotation (LR) and shoulder pain are common, particularly in overhead-throwing athletes. Objective: To assess shoulder MR and LR ROM in athletes participating in different sports, considering the influence of these variables on injuries and functional performance. Methods: The rotation ROM of the glenohumeral joint was assessed in 477 young athletes, who were categorized in three sports groups: swimming, overhead-throwing and non-overhead throwing, distributed by age group. Analyses of Variance (ANOVA) were performed to verify if there were differences in MR and LR between groups and paired Student t test was used to verify differences between sides (asymmetry). Results: Youngest athletes showed significant shorter LR than the oldest, in both sides. This study demonstrated that the right side has less MR and greater LR in all groups. Conclusion: The findings showed that overhead-throwing and swimming groups have similarities in shoulder rotation ROM. Level of evidence III; Diagnostic Studies - Investigating a Diagnostic Test.

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