Literature DB >> 22300730

Ambulatory measurement of the scapulohumeral rhythm: intra- and inter-operator agreement of a protocol based on inertial and magnetic sensors.

I Parel1, A G Cutti, G Fiumana, G Porcellini, G Verni, A P Accardo.   

Abstract

To measure the scapulohumeral rhythm (SHR) in outpatient settings, the motion analysis protocol named ISEO (INAIL Shoulder and Elbow Outpatient protocol) was developed, based on inertial and magnetic sensors. To complete the sensor-to-segment calibration, ISEO requires the involvement of an operator for sensor placement and for positioning the patient's arm in a predefined posture. Since this can affect the measure, this study aimed at quantifying ISEO intra- and inter-operator agreement. Forty subjects were considered, together with two operators, A and B. Three measurement sessions were completed for each subject: two by A and one by B. In each session, the humerus and scapula rotations were measured during sagittal and scapular plane elevation movements. ISEO intra- and inter-operator agreement were assessed by computing, between sessions, the: (1) similarity of the scapulohumeral patterns through the Coefficient of Multiple Correlation (CMC(2)), both considering and excluding the difference of the initial value of the scapula rotations between two sessions (inter-session offset); (2) 95% Smallest Detectable Difference (SDD(95)) in scapula range of motion. Results for CMC(2) showed that the intra- and inter-operator agreement is acceptable (median≥0.85, lower-whisker ≥ 0.75) for most of the scapula rotations, independently from the movement and the inter-session offset. The only exception is the agreement for scapula protraction-retraction and for scapula medio-lateral rotation during abduction (inter-operator), which is acceptable only if the inter-session offset is removed. SDD(95) values ranged from 4.4° to 8.6° for the inter-operator and between 4.9° and 8.5° for the intra-operator agreement. In conclusion, ISEO presents a high intra- and inter-operator agreement, particularly with the scapula inter-session offset removed.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22300730     DOI: 10.1016/j.gaitpost.2011.12.015

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


  17 in total

1.  Intra-protocol repeatability and inter-protocol agreement for the analysis of scapulo-humeral coordination.

Authors:  I Parel; A G Cutti; A Kraszewski; G Verni; H Hillstrom; A Kontaxis
Journal:  Med Biol Eng Comput       Date:  2013-10-18       Impact factor: 2.602

2.  Can posterior capsular stretching rehabilitation protocol change scapula kinematics in asymptomatic baseball pitchers?

Authors:  A Pellegrini; P Tonino; D Salazar; K Hendrix; I Parel; A Cutti; P Paladini; F Ceccarelli; G Porcellini
Journal:  Musculoskelet Surg       Date:  2016-11-30

3.  Reliability and precision of 3D wireless measurement of scapular kinematics.

Authors:  Josien C van den Noort; Suzanne H Wiertsema; Karin M C Hekman; Casper P Schönhuth; Joost Dekker; Jaap Harlaar
Journal:  Med Biol Eng Comput       Date:  2014-09-06       Impact factor: 2.602

4.  The latissimus dorsi tendon functions as an external rotator after arthroscopic-assisted transfer for massive irreparable posterosuperior rotator cuff tears.

Authors:  Olimpio Galasso; Matteo Mantovani; Marco Muraccini; Antonella Berardi; Massimo De Benedetto; Nicola Orlando; Giorgio Gasparini; Roberto Castricini
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2019-12-06       Impact factor: 4.342

5.  Studying upper-limb kinematics using inertial sensors: a cross-sectional study.

Authors:  Cristina Roldán-Jiménez; Antonio I Cuesta-Vargas
Journal:  BMC Res Notes       Date:  2015-10-03

6.  A technical support tool for joint range of motion determination in functional diagnostics - an inter-rater study.

Authors:  Christoph Schiefer; Thomas Kraus; Rolf P Ellegast; Elke Ochsmann
Journal:  J Occup Med Toxicol       Date:  2015-04-29       Impact factor: 2.646

7.  Validity and reliability of arm abduction angle measured on smartphone: a cross-sectional study.

Authors:  Antonio I Cuesta-Vargas; Cristina Roldán-Jiménez
Journal:  BMC Musculoskelet Disord       Date:  2016-02-20       Impact factor: 2.362

8.  Real-time inverse kinematics for the upper limb: a model-based algorithm using segment orientations.

Authors:  Bence J Borbély; Péter Szolgay
Journal:  Biomed Eng Online       Date:  2017-01-17       Impact factor: 2.819

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.  Definition of anatomical zero positions for assessing shoulder pose with 3D motion capture during bilateral abduction of the arms.

Authors:  Oliver Rettig; Britta Krautwurst; Michael W Maier; Sebastian I Wolf
Journal:  BMC Musculoskelet Disord       Date:  2015-12-09       Impact factor: 2.362

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