Literature DB >> 28683420

Shoulder assessment according to the international classification of functioning by means of inertial sensor technologies: A systematic review.

Liesbet De Baets1, Rob van der Straaten2, Thomas Matheve3, Annick Timmermans4.   

Abstract

This review investigates current protocols using Inertial Measurement Units (IMUs) in shoulder research, and outlines future paths regarding IMU use for shoulder research. Different databases were searched for relevant articles. Criteria for study selection were (1) research in healthy persons or persons with shoulder problems, (2) IMUs applied as assessment tool for the shoulder (in healthy subjects and shoulder patients) or upper limb (in shoulder patients), (3) peer-reviewed, full-text papers in English or Dutch. Studies with less than five participants and without ethical approval were excluded. Data extraction included (1) study design, (2) participant characteristics, (3) type/brand of IMU, (4) tasks included in the assessment protocol, and (5) outcomes. Risk of bias was assessed using the Downs and Black checklist. Scapulothoracic/glenohumeral and humerothoracic kinematics were reported in respectively 10 and 27 of the 37 included papers. Only one paper in healthy persons assessed, next to scapulothoracic/glenohumeral kinematics, other upper limb joints. IMUs' validity and reliability to capture shoulder function was limited. Considering applied protocols, 39% of the protocols was located on the International-Classification-of-Functioning (ICF) function level, while 38% and 23% were on the 'capacity' and 'actual performance'-sublevel, of the ICF-activity level. Most available IMU-research regarding the shoulder is clinically less relevant, given the widely reported humerothoracic kinematics which do not add to clinical-decision-making, and the absence of protocols assessing the complete upper limb chain. Apart from knowledge on methodological pitfalls and opportunities regarding the use of IMUs, this review provides future research paths.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ambulatory; Inertial sensor; Kinematic; Movement; Scapula; Shoulder

Mesh:

Year:  2017        PMID: 28683420     DOI: 10.1016/j.gaitpost.2017.06.025

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


  8 in total

1.  Three-Dimensional Kinematics during Shoulder Scaption in Asymptomatic and Symptomatic Subjects by Inertial Sensors: A Cross-Sectional Study.

Authors:  Cristina Roldán-Jiménez; Antonio I Cuesta-Vargas; Jaime Martín-Martín
Journal:  Sensors (Basel)       Date:  2022-04-17       Impact factor: 3.847

Review 2.  Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment.

Authors:  Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Friedhelm C Hummel
Journal:  J Neuroeng Rehabil       Date:  2019-11-19       Impact factor: 4.262

Review 3.  The Ergonomic Association between Shoulder, Neck/Head Disorders and Sedentary Activity: A Systematic Review.

Authors:  Rama Krishna Reddy Guduru; Aurelijus Domeika; Linas Obcarskas; Berta Ylaite
Journal:  J Healthc Eng       Date:  2022-03-21       Impact factor: 2.682

4.  Assessing Smoothness of Arm Movements With Jerk: A Comparison of Laterality, Contraction Mode and Plane of Elevation. A Pilot Study.

Authors:  Alexandra Roren; Antoine Mazarguil; Diego Vaquero-Ramos; Jean-Baptiste Deloose; Pierre-Paul Vidal; Christelle Nguyen; François Rannou; Danping Wang; Laurent Oudre; Marie-Martine Lefèvre-Colau
Journal:  Front Bioeng Biotechnol       Date:  2022-01-21

5.  Assessing the validity of inertial measurement units for shoulder kinematics using a commercial sensor-software system: A validation study.

Authors:  Jakob Henschke; Hannes Kaplick; Monique Wochatz; Tilman Engel
Journal:  Health Sci Rep       Date:  2022-08-10

Review 6.  Optical Motion Capture Systems for 3D Kinematic Analysis in Patients with Shoulder Disorders.

Authors:  Umile Giuseppe Longo; Sergio De Salvatore; Arianna Carnevale; Salvatore Maria Tecce; Benedetta Bandini; Alberto Lalli; Emiliano Schena; Vincenzo Denaro
Journal:  Int J Environ Res Public Health       Date:  2022-09-23       Impact factor: 4.614

7.  Efficient Multiaxial Shoulder-Motion Tracking Based on Flexible Resistive Sensors Applied to Exosuits.

Authors:  J Luis Samper-Escudero; Aldo F Contreras-González; Manuel Ferre; Miguel A Sánchez-Urán; David Pont-Esteban
Journal:  Soft Robot       Date:  2020-01-06       Impact factor: 8.071

8.  Patterns of enhancement in paretic shoulder kinematics after stroke with musical cueing.

Authors:  Shinil Kang; Joon-Ho Shin; In Young Kim; Jongshill Lee; Ji-Yeoung Lee; Eunju Jeong
Journal:  Sci Rep       Date:  2020-10-22       Impact factor: 4.379

  8 in total

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