Literature DB >> 30903440

Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review.

William Johnston1,2, Martin O'Reilly3,4, Rob Argent3,4,5, Brian Caulfield3,4.   

Abstract

BACKGROUND: Recent advances in mobile sensing and computing technology have provided a means to objectively and unobtrusively quantify postural control. This has resulted in the rapid development and evaluation of a series of wearable inertial sensor-based assessments. However, the validity, reliability and clinical utility of such systems is not fully understood.
OBJECTIVES: This systematic review aims to synthesise and evaluate studies that have investigated the ability of wearable inertial sensor systems to validly and reliably quantify postural control performance in sports science and medicine applications.
METHODS: A systematic search strategy utilising the PRISMA guidelines was employed to identify eligible articles through ScienceDirect, Embase and PubMed databases. In total, 47 articles met the inclusion criteria and were evaluated and qualitatively synthesised under two main headings: measurement validity and measurement reliability. Furthermore, studies that investigated the utility of these systems in clinical populations were summarised and discussed.
RESULTS: After duplicate removal, 4374 articles were identified with the search strategy, with 47 papers included in the final review. In total, 28 studies investigated validity in healthy populations, and 15 studies investigated validity in clinical populations; 13 investigated the measurement reliability of these sensor-based systems.
CONCLUSIONS: The application of wearable inertial sensors for sports science and medicine postural control applications is an evolving field. To date, research has primarily focused on evaluating the validity and reliability of a heterogeneous set of assessment protocols, in a laboratory environment. While researchers have begun to investigate their utility in clinical use cases such as concussion and musculoskeletal injury, most studies have leveraged small sample sizes, are of low quality and use a variety of descriptive variables, assessment protocols and sensor-mounting locations. Future research should evaluate the clinical utility of these systems in large high-quality prospective cohort studies to establish the role they may play in injury risk identification, diagnosis and management. This systematic review was registered with the International Prospective Register of Systematic Reviews on 10 August 2018 (PROSPERO registration: CRD42018106363): https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=106363 .

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Year:  2019        PMID: 30903440     DOI: 10.1007/s40279-019-01095-9

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  66 in total

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Authors:  S M N Arosha Senanayake; Owais A Malik; Mohammad Iskandar; Danish Zaheer
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2.  Wavelet analysis based on time-frequency information discriminate chronic ankle instability.

Authors:  A Martínez-Ramírez; P Lecumberri; M Gómez; M Izquierdo
Journal:  Clin Biomech (Bristol, Avon)       Date:  2009-12-14       Impact factor: 2.063

3.  The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions.

Authors:  S H Downs; N Black
Journal:  J Epidemiol Community Health       Date:  1998-06       Impact factor: 3.710

4.  Measurement of lower limb segmental excursion using inertial sensors during single limb stance.

Authors:  Kyoung Jae Kim; Vibhor Agrawal; Christopher Bennett; Ignacio Gaunaurd; Luis Feigenbaum; Robert Gailey
Journal:  J Biomech       Date:  2018-02-09       Impact factor: 2.712

5.  A comparison of accelerometry and center of pressure measures during computerized dynamic posturography: a measure of balance.

Authors:  S L Whitney; J L Roche; G F Marchetti; C-C Lin; D P Steed; G R Furman; M C Musolino; M S Redfern
Journal:  Gait Posture       Date:  2011-02-17       Impact factor: 2.840

6.  Balance deficits in recreational athletes with chronic ankle instability.

Authors:  Cathleen N Brown; Richard Mynark
Journal:  J Athl Train       Date:  2007 Jul-Sep       Impact factor: 2.860

Review 7.  Review and classification of variability analysis techniques with clinical applications.

Authors:  Andrea Bravi; André Longtin; Andrew J E Seely
Journal:  Biomed Eng Online       Date:  2011-10-10       Impact factor: 2.819

Review 8.  Wearable sensor use for assessing standing balance and walking stability in people with Parkinson's disease: a systematic review.

Authors:  Ryan P Hubble; Geraldine A Naughton; Peter A Silburn; Michael H Cole
Journal:  PLoS One       Date:  2015-04-20       Impact factor: 3.240

9.  A study on the reliability of measuring dynamic balance ability using a smartphone.

Authors:  Seulki Han; Daehee Lee; Sangyong Lee
Journal:  J Phys Ther Sci       Date:  2016-09-29

10.  Wearable sensing and mobile devices: the future of post-concussion monitoring?

Authors:  William Johnston; Cailbhe Doherty; Fionn Cleirigh Büttner; Brian Caulfield
Journal:  Concussion       Date:  2017-02-08
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  10 in total

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2.  Classification of Plank Techniques Using Wearable Sensors.

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Journal:  Sensors (Basel)       Date:  2022-06-14       Impact factor: 3.847

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Authors:  Xu Ru; Nian Gu; Hang Shang; Heng Zhang
Journal:  Micromachines (Basel)       Date:  2022-05-31       Impact factor: 3.523

4.  Concussion History and Balance Performance in Adolescent Rugby Union Players.

Authors:  Mark Matthews; William Johnston; Chris M Bleakley; Richard J Davies; Alan T Rankin; Michael Webb; Brian C Caulfield; H A P Archbold
Journal:  Am J Sports Med       Date:  2021-03-17       Impact factor: 6.202

5.  Comparison of Concurrent and Same-Day Balance Measurement Approaches in a Large Sample of Uninjured Collegiate Athletes.

Authors:  Jessica Saalfield; Kelsey L Piersol; Robert Monaco; Jason Womack; Scott A Weismiller; Carrie Esopenko; Sabrina M Todaro; Fiona N Conway; Kyle Brostrand; Jennifer F Buckman
Journal:  Int J Sports Phys Ther       Date:  2022-02-01

6.  Pose2Sim: An End-to-End Workflow for 3D Markerless Sports Kinematics-Part 2: Accuracy.

Authors:  David Pagnon; Mathieu Domalain; Lionel Reveret
Journal:  Sensors (Basel)       Date:  2022-04-01       Impact factor: 3.576

7.  Detection of Low Back Physiotherapy Exercises With Inertial Sensors and Machine Learning: Algorithm Development and Validation.

Authors:  Abdalrahman Alfakir; Colin Arrowsmith; David Burns; Helen Razmjou; Michael Hardisty; Cari Whyne
Journal:  JMIR Rehabil Assist Technol       Date:  2022-08-23

8.  Quantification of muscles activations and joints range of motions during oil palm fresh fruit bunch harvesting and loose fruit collection.

Authors:  Yu Xuan Teo; Yon Sin Chan; Darwin Gouwanda; Alpha Agape Gopalai; Surya Girinatha Nurzaman; Subbiah Thannirmalai
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

9.  Impact of Visual Biofeedback of Trunk Sway Smoothness on Motor Learning during Unipedal Stance.

Authors:  Carlos Cruz-Montecinos; Antonio Cuesta-Vargas; Cristian Muñoz; Dante Flores; Joseph Ellsworth; Carlos De la Fuente; Joaquín Calatayud; Gonzalo Rivera-Lillo; Verónica Soto-Arellano; Claudio Tapia; Xavier García-Massó
Journal:  Sensors (Basel)       Date:  2020-05-01       Impact factor: 3.576

10.  A comparison of head movements tests in force plate and accelerometer based posturography in patients with balance problems due to vestibular dysfunction.

Authors:  Magdalena Janc; Mariola Sliwinska-Kowalska; Magdalena Jozefowicz-Korczynska; Pawel Marciniak; Oskar Rosiak; Rafal Kotas; Zuzanna Szmytke; Joanna Grodecka; Ewa Zamyslowska-Szmytke
Journal:  Sci Rep       Date:  2021-09-27       Impact factor: 4.379

  10 in total

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