Literature DB >> 16934979

Outcome evaluation in shoulder surgery using 3D kinematics sensors.

Brian Coley1, Brigitte M Jolles, Alain Farron, Aline Bourgeois, François Nussbaumer, Claude Pichonnaz, Kamiar Aminian.   

Abstract

A new method of scoring systems for the functional assessment of the shoulder is presented. 3D accelerometers and gyroscopes attached on the humerus were used to differentiate a healthy from a painful shoulder. The method was first tested on 10 healthy volunteer subjects with no shoulder pathology. The system was then tested on 10 patients with unilateral shoulder pathology (rotator cuff disease, osteoarthritis) before and after surgery (3, 6 months). In order to evaluate the system, nine tests based on the Simple Shoulder Test (SST) were performed on each shoulder for each patient. Three scores were defined: the P score was based on the angular velocities and accelerations of the humerus; the RAV score was based only on the angular velocities of the humerus; the M score was based on the sum of all moments of the humerus. Our kinematic scores indicated significant differences between baseline and follow-up (p<0.05) and differentiated between patients with varying severity of the same condition. We demonstrated a reliable technique of evaluating shoulder pathology and the results of surgery.

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Year:  2006        PMID: 16934979     DOI: 10.1016/j.gaitpost.2006.06.016

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  15 in total

1.  Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors.

Authors:  Andrea Giovanni Cutti; Andrea Giovanardi; Laura Rocchi; Angelo Davalli; Rinaldo Sacchetti
Journal:  Med Biol Eng Comput       Date:  2007-12-18       Impact factor: 2.602

2.  Detection of the movement of the humerus during daily activity.

Authors:  Brian Coley; Brigitte M Jolles; Alain Farron; Kamiar Aminian
Journal:  Med Biol Eng Comput       Date:  2009-03-10       Impact factor: 2.602

3.  Novel approaches to objectively assess shoulder function.

Authors:  Wendy J Hurd; Melissa M Morrow; Emily J Miller; Robert A Adams; John W Sperling; Kenton R Kaufman
Journal:  J Shoulder Elbow Surg       Date:  2014-03-20       Impact factor: 3.019

4.  Patient-Reported and Objectively Measured Function Before and After Reverse Shoulder Arthroplasty.

Authors:  Wendy J Hurd; Melissa M Morrow; Emily J Miller; Robert A Adams; John W Sperling; Kenton R Kaufman
Journal:  J Geriatr Phys Ther       Date:  2018 Jul/Sep       Impact factor: 3.381

5.  Measuring upper limb function in children with hemiparesis with 3D inertial sensors.

Authors:  Christopher J Newman; Roselyn Bruchez; Sylvie Roches; Marine Jequier Gygax; Cyntia Duc; Farzin Dadashi; Fabien Massé; Kamiar Aminian
Journal:  Childs Nerv Syst       Date:  2017-08-25       Impact factor: 1.475

6.  Toward Using a Smartwatch to Monitor Frailty in a Hospital Setting: Using a Single Wrist-Wearable Sensor to Assess Frailty in Bedbound Inpatients.

Authors:  Hyoki Lee; Bellal Joseph; Ana Enriquez; Bijan Najafi
Journal:  Gerontology       Date:  2017-11-25       Impact factor: 5.140

7.  Heightened clinical utility of smartphone versus body-worn inertial system for shoulder function B-B score.

Authors:  Claude Pichonnaz; Kamiar Aminian; Céline Ancey; Hervé Jaccard; Estelle Lécureux; Cyntia Duc; Alain Farron; Brigitte M Jolles; Nigel Gleeson
Journal:  PLoS One       Date:  2017-03-20       Impact factor: 3.240

8.  Trunk Motion System (TMS) Using Printed Body Worn Sensor (BWS) via Data Fusion Approach.

Authors:  Mohammad Iman Mokhlespour Esfahani; Omid Zobeiri; Behzad Moshiri; Roya Narimani; Mohammad Mehravar; Ehsan Rashedi; Mohamad Parnianpour
Journal:  Sensors (Basel)       Date:  2017-01-08       Impact factor: 3.576

9.  Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations.

Authors:  Brice Bouvier; Sonia Duprey; Laurent Claudon; Raphaël Dumas; Adriana Savescu
Journal:  Sensors (Basel)       Date:  2015-07-31       Impact factor: 3.576

10.  Measurement properties of the smartphone-based B-B Score in current shoulder pathologies.

Authors:  Claude Pichonnaz; Cyntia Duc; Nigel Gleeson; Céline Ancey; Hervé Jaccard; Estelle Lécureux; Alain Farron; Brigitte M Jolles; Kamiar Aminian
Journal:  Sensors (Basel)       Date:  2015-10-22       Impact factor: 3.576

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