Literature DB >> 27309490

Wearable inertial sensors for human movement analysis.

Marco Iosa1, Pietro Picerno2, Stefano Paolucci1, Giovanni Morone1.   

Abstract

INTRODUCTION: The present review aims to provide an overview of the most common uses of wearable inertial sensors in the field of clinical human movement analysis. AREAS COVERED: Six main areas of application are analysed: gait analysis, stabilometry, instrumented clinical tests, upper body mobility assessment, daily-life activity monitoring and tremor assessment. Each area is analyzed both from a methodological and applicative point of view. The focus on the methodological approaches is meant to provide an idea of the computational complexity behind a variable/parameter/index of interest so that the reader is aware of the reliability of the approach. The focus on the application is meant to provide a practical guide for advising clinicians on how inertial sensors can help them in their clinical practice. Expert commentary: Less expensive and more easy to use than other systems used in human movement analysis, wearable sensors have evolved to the point that they can be considered ready for being part of routine clinical routine.

Entities:  

Keywords:  Accelerometry; biomechanics; gait analysis; kinematics; motor assessment; rehabilitation

Mesh:

Year:  2016        PMID: 27309490     DOI: 10.1080/17434440.2016.1198694

Source DB:  PubMed          Journal:  Expert Rev Med Devices        ISSN: 1743-4440            Impact factor:   3.166


  51 in total

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Authors:  B G Diebo; N V Shah; S G Stroud; C B Paulino; F J Schwab; V Lafage
Journal:  Orthopade       Date:  2018-04       Impact factor: 1.087

2.  Gait as predictor of physical function in axial spondyloarthritis: the prospective longitudinal FOLOMI (Function, Locomotion, Measurement, Inflammation) study protocol.

Authors:  Julie Soulard; Nicolas Vuillerme; Philippe Gaudin; Laurent Grange; Athan Baillet; Jean-Luc Cracowski; Robert Juvin; Jacques Vaillant
Journal:  Rheumatol Int       Date:  2019-08-07       Impact factor: 2.631

3.  Validity and repeatability of inertial measurement units for measuring gait parameters.

Authors:  Edward P Washabaugh; Tarun Kalyanaraman; Peter G Adamczyk; Edward S Claflin; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2017-04-12       Impact factor: 2.840

4.  Wearable Inertial Sensors for Range of Motion Assessment.

Authors:  Ashwin Rajkumar; Fabio Vulpi; Satish Reddy Bethi; Hassam Khan Wazir; Preeti Raghavan; Vikram Kapila
Journal:  IEEE Sens J       Date:  2019-12-17       Impact factor: 3.301

5.  The feasibility and validity of a wearable sensor system to assess the stability of high-functioning lower-limb prosthesis users.

Authors:  Kyle T Miller; Molly Russell; Terese Jenks; Kaddie Surratt; Kelly Poretti; Samantha S Eigenbrot; Jonathan S Akins; Matthew J Major
Journal:  J Prosthet Orthot       Date:  2020-08-11

6.  Accuracy and Repeatability of Spatiotemporal Gait Parameters Measured with an Inertial Measurement Unit.

Authors:  Jorge Posada-Ordax; Julia Cosin-Matamoros; Marta Elena Losa-Iglesias; Ricardo Becerro-de-Bengoa-Vallejo; Laura Esteban-Gonzalo; Carlos Martin-Villa; César Calvo-Lobo; David Rodriguez-Sanz
Journal:  J Clin Med       Date:  2021-04-21       Impact factor: 4.241

7.  Spatio-temporal gait parameters obtained from foot-worn inertial sensors are reliable in healthy adults in single- and dual-task conditions.

Authors:  J Soulard; J Vaillant; R Balaguier; N Vuillerme
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

8.  Ability of a Set of Trunk Inertial Indexes of Gait to Identify Gait Instability and Recurrent Fallers in Parkinson's Disease.

Authors:  Stefano Filippo Castiglia; Antonella Tatarelli; Dante Trabassi; Roberto De Icco; Valentina Grillo; Alberto Ranavolo; Tiwana Varrecchia; Fabrizio Magnifica; Davide Di Lenola; Gianluca Coppola; Donatella Ferrari; Alessandro Denaro; Cristina Tassorelli; Mariano Serrao
Journal:  Sensors (Basel)       Date:  2021-05-15       Impact factor: 3.576

Review 9.  Wearable Devices for Assessment of Tremor.

Authors:  Basilio Vescio; Andrea Quattrone; Rita Nisticò; Marianna Crasà; Aldo Quattrone
Journal:  Front Neurol       Date:  2021-06-11       Impact factor: 4.003

10.  A low-cost stand-alone platform for measuring motor behavior across developmental applications.

Authors:  Andrea Cavallo; Nathan C Foster; Karthikeyan Kalyanasundaram Balasubramanian; Andrea Merello; Giorgio Zini; Marco Crepaldi; Cristina Becchio
Journal:  iScience       Date:  2021-06-17
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