Literature DB >> 33557140

An Inertial Measurement Unit-Based Wireless System for Shoulder Motion Assessment in Patients with Cervical Spinal Cord Injury: A Validation Pilot Study in a Clinical Setting.

Riccardo Bravi1, Stefano Caputo2, Sara Jayousi2, Alessio Martinelli2, Lorenzo Biotti2, Ilaria Nannini3, Erez James Cohen1, Eros Quarta1, Stefano Grasso1, Giacomo Lucchesi3, Gabriele Righi3, Giulio Del Popolo3, Lorenzo Mucchi2, Diego Minciacchi1.   

Abstract

Residual motion of upper limbs in individuals who experienced cervical spinal cord injury (CSCI) is vital to achieve functional independence. Several interventions were developed to restore shoulder range of motion (ROM) in CSCI patients. However, shoulder ROM assessment in clinical practice is commonly limited to use of a simple goniometer. Conventional goniometric measurements are operator-dependent and require significant time and effort. Therefore, innovative technology for supporting medical personnel in objectively and reliably measuring the efficacy of treatments for shoulder ROM in CSCI patients would be extremely desirable. This study evaluated the validity of a customized wireless wearable sensors (Inertial Measurement Units-IMUs) system for shoulder ROM assessment in CSCI patients in clinical setting. Eight CSCI patients and eight healthy controls performed four shoulder movements (forward flexion, abduction, and internal and external rotation) with dominant arm. Every movement was evaluated with a goniometer by different testers and with the IMU system at the same time. Validity was evaluated by comparing IMUs and goniometer measurements using Intraclass Correlation Coefficient (ICC) and Limits of Agreement (LOA). inter-tester reliability of IMUs and goniometer measurements was also investigated. Preliminary results provide essential information on the accuracy of the proposed wireless wearable sensors system in acquiring objective measurements of the shoulder movements in CSCI patients.

Entities:  

Keywords:  clinical setting; goniometer; inertial measurement unit; kinematics; motion tracking; range of motion; shoulder; spinal cord injury; tetraplegia; wireless sensors network

Mesh:

Year:  2021        PMID: 33557140      PMCID: PMC7913887          DOI: 10.3390/s21041057

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  62 in total

1.  Thoracic position effect on shoulder range of motion, strength, and three-dimensional scapular kinematics.

Authors:  M Kebaetse; P McClure; N A Pratt
Journal:  Arch Phys Med Rehabil       Date:  1999-08       Impact factor: 3.966

2.  Reliability of five methods for assessing shoulder range of motion.

Authors:  K Hayes; J R Walton; Z R Szomor; G A Murrell
Journal:  Aust J Physiother       Date:  2001

3.  Measuring orientation of human body segments using miniature gyroscopes and accelerometers.

Authors:  H J Luinge; P H Veltink
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

Review 4.  Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine.

Authors:  G Atkinson; A M Nevill
Journal:  Sports Med       Date:  1998-10       Impact factor: 11.136

5.  Limits of agreement (Bland-Altman method).

Authors:  Philip Sedgwick
Journal:  BMJ       Date:  2013-03-15

Review 6.  Spinal-cord injury.

Authors:  John W McDonald; Cristina Sadowsky
Journal:  Lancet       Date:  2002-02-02       Impact factor: 79.321

7.  Measurement and description of three-dimensional shoulder range of motion with degrees of freedom interactions.

Authors:  Diane Haering; Maxime Raison; Mickael Begon
Journal:  J Biomech Eng       Date:  2014-08       Impact factor: 2.097

Review 8.  Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion.

Authors:  Alessandro Filippeschi; Norbert Schmitz; Markus Miezal; Gabriele Bleser; Emanuele Ruffaldi; Didier Stricker
Journal:  Sensors (Basel)       Date:  2017-06-01       Impact factor: 3.576

9.  3D reconstruction of human movement in a single projection by dynamic marker scaling.

Authors:  Erez James Cohen; Riccardo Bravi; Diego Minciacchi
Journal:  PLoS One       Date:  2017-10-18       Impact factor: 3.240

10.  Validity of Wearable Sensors at the Shoulder Joint: Combining Wireless Electromyography Sensors and Inertial Measurement Units to Perform Physical Workplace Assessments.

Authors:  Isabelle Poitras; Mathieu Bielmann; Alexandre Campeau-Lecours; Catherine Mercier; Laurent J Bouyer; Jean-Sébastien Roy
Journal:  Sensors (Basel)       Date:  2019-04-20       Impact factor: 3.576

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