Literature DB >> 27362972

Age-related changes analyzing shoulder kinematics by means of inertial sensors.

Cristina Roldán-Jiménez1, Antonio I Cuesta-Vargas2.   

Abstract

BACKGROUND: Shoulder kinematics alteration has been previously proven in subjects suffering from shoulder damage, which is also related to shoulder degenerative changes as consequence of aging. Because of that, it would be interesting to investigate age-related kinematics. The main objective was to analyze age-related differences in shoulder kinematics by means of inertial sensors in asymptomatic subjects during shoulder abduction and flexion.
METHODS: Twenty-five right arms were measured (11 from the young adult group and 14 from the older adult group). In the young group, age ranged between 20 and 34years old, while in the older group age ranged between 45 and 72years old. Angular mobility and linear acceleration from the scapula, humerus and sternum as well as mobility in the glenohumeral and scapulothoracic joints were calculated by three inertial sensors. Subjects performed shoulder abduction and flexion.
FINDINGS: Significant differences in mobility were found in humerus and scapula in mobility and acceleration during both tasks. Those differences varied depending on the plane analyzed. A moderate negative correlation between age and humerus and scapula ranged from -0.624** to -0.409*. A positive correlation was found in some planes.
INTERPRETATION: The results from the present study suggest that humerus elevation and scapular protraction-retraction as well as medio-lateral rotation are more likely to present kinematics age-related differences, i.e. older: age is associated with less mobility and acceleration in some planes and axes. Results provide inertial tridimensional measures from shoulder complex comparing groups of different age. Findings also concur with previous research supporting age-related shoulder changes.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Aging; Biomechanical phenomena; Inertial sensor; Motion analysis; Shoulder

Mesh:

Year:  2016        PMID: 27362972     DOI: 10.1016/j.clinbiomech.2016.06.004

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  7 in total

1.  Segmentation of shoulder rehabilitation exercises for single and multiple inertial sensor systems.

Authors:  Louise Brennan; Antonio Bevilacqua; Tahar Kechadi; Brian Caulfield
Journal:  J Rehabil Assist Technol Eng       Date:  2020-08-20

2.  Validity and reliability of inertial sensors for elbow and wrist range of motion assessment.

Authors:  Vanina Costa; Óscar Ramírez; Abraham Otero; Daniel Muñoz-García; Sandra Uribarri; Rafael Raya
Journal:  PeerJ       Date:  2020-08-11       Impact factor: 2.984

3.  Inertial measurement systems for segments and joints kinematics assessment: towards an understanding of the variations in sensors accuracy.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Biomed Eng Online       Date:  2017-05-15       Impact factor: 2.819

Review 4.  Measurement of Upper Limb Range of Motion Using Wearable Sensors: A Systematic Review.

Authors:  Corrin P Walmsley; Sîan A Williams; Tiffany Grisbrook; Catherine Elliott; Christine Imms; Amity Campbell
Journal:  Sports Med Open       Date:  2018-11-29

5.  Wearable systems for shoulder kinematics assessment: a systematic review.

Authors:  Arianna Carnevale; Umile Giuseppe Longo; Emiliano Schena; Carlo Massaroni; Daniela Lo Presti; Alessandra Berton; Vincenzo Candela; Vincenzo Denaro
Journal:  BMC Musculoskelet Disord       Date:  2019-11-15       Impact factor: 2.362

Review 6.  The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis.

Authors:  Peter Beshara; David B Anderson; Matthew Pelletier; William R Walsh
Journal:  Sensors (Basel)       Date:  2021-12-08       Impact factor: 3.576

7.  Standard reference values of the upper body posture in healthy male adults aged between 51 and 60 years in Germany.

Authors:  Daniela Ohlendorf; Dominik Krüger; Wolfgang Christian; Hanns Ackermann; Fee Keil; Gerhard Oremek; Christian Maurer-Grubinger; David A Groneberg
Journal:  Sci Rep       Date:  2022-04-28       Impact factor: 4.996

  7 in total

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