Literature DB >> 30311493

Inertial sensors versus standard systems in gait analysis: a systematic review and meta-analysis.

Federica Petraglia1, Luca Scarcella1, Giuseppe Pedrazzi1, Luigi Brancato2, Robert Puers2, Cosimo Costantino3.   

Abstract

INTRODUCTION: The increasing popularity of inertial sensors in clinical practice is not supported by precise information on their reliability or guidelines for their use in rehabilitation. The authors investigated the state of the literature concerning the use of inertial sensors for gait analysis in both healthy and pathological adults comparing traditional systems. Furthermore, trying to define directions for clinicians. EVIDENCE ACQUISITION: In accordance with the PRISMA statement, authors searched in PubMed, Web of Science and Scopus all paper published from January 1st, 2005 until December 31st, 2017. They included both healthy and pathological adults' subjects as population, wearable or inertial sensors used for gait analysis and compared with classical gait analysis performed in a Motion Lab as intervention and comparison, gait parameters as outcomes. Considering the methodological quality, authors focused on: sample; description of the study; type of gait analysis used for comparison; type of sensor; sensor placement on the body; gait task requested. EVIDENCE SYNTHESIS: From a total of 888 articles, 16 manuscripts were selected and 7 of them were considered for meta-analysis for different gait parameters. Demographic data, tested devices, reference systems, test procedures and outcomes were analyzed.
CONCLUSIONS: Our results show a good agreement between inertial sensors and classical gait analysis for some gait parameters, supporting their use as a solution for capturing kinematic information over an extended space and time and even outside a laboratory in real-life conditions. Authors can support the use of portable inertial sensors for a practical gait analysis in clinical setting with good reliability. It will then be the experience of the clinician to direct the decision-making process.

Year:  2018        PMID: 30311493     DOI: 10.23736/S1973-9087.18.05306-6

Source DB:  PubMed          Journal:  Eur J Phys Rehabil Med        ISSN: 1973-9087            Impact factor:   2.874


  19 in total

1.  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

Review 2.  Analysing gait patterns in degenerative lumbar spine diseases: a literature review.

Authors:  Pragadesh Natarajan; R Dineth Fonseka; Sihyong Kim; Callum Betteridge; Monish Maharaj; Ralph J Mobbs
Journal:  J Spine Surg       Date:  2022-03

3.  Agreement between the GAITRite® System and the Wearable Sensor BTS G-Walk® for measurement of gait parameters in healthy adults and Parkinson's disease patients.

Authors:  Slávka Vítečková; Hana Horáková; Kamila Poláková; Radim Krupička; Evžen Růžička; Hana Brožová
Journal:  PeerJ       Date:  2020-05-22       Impact factor: 2.984

4.  Comparison of gait characteristics between clinical and daily life settings in children with cerebral palsy.

Authors:  Kamiar Aminian; Stéphane Armand; Lena Carcreff; Corinna N Gerber; Anisoara Paraschiv-Ionescu; Geraldo De Coulon; Christopher J Newman
Journal:  Sci Rep       Date:  2020-02-07       Impact factor: 4.379

5.  Testing the Performance of an Innovative Markerless Technique for Quantitative and Qualitative Gait Analysis.

Authors:  Laura Simoni; Alessandra Scarton; Filippo Gerli; Claudio Macchi; Federico Gori; Guido Pasquini; Silvia Pogliaghi
Journal:  Sensors (Basel)       Date:  2020-11-20       Impact factor: 3.576

6.  A Pilot Study to Validate a Wearable Inertial Sensor for Gait Assessment in Older Adults with Falls.

Authors:  Guillermo García-Villamil; Marta Neira-Álvarez; Elisabet Huertas-Hoyas; Antonio Ramón-Jiménez; Cristina Rodríguez-Sánchez
Journal:  Sensors (Basel)       Date:  2021-06-24       Impact factor: 3.576

Review 7.  Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review.

Authors:  Ashley Marie Polhemus; Ronny Bergquist; Magda Bosch de Basea; Gavin Brittain; Sara Catherine Buttery; Nikolaos Chynkiamis; Gloria Dalla Costa; Laura Delgado Ortiz; Heleen Demeyer; Kirsten Emmert; Judith Garcia Aymerich; Heiko Gassner; Clint Hansen; Nicholas Hopkinson; Jochen Klucken; Felix Kluge; Sarah Koch; Letizia Leocani; Walter Maetzler; M Encarna Micó-Amigo; A Stefanie Mikolaizak; Paolo Piraino; Francesca Salis; Christian Schlenstedt; Lars Schwickert; Kirsty Scott; Basil Sharrack; Kristin Taraldsen; Thierry Troosters; Beatrix Vereijken; Ioannis Vogiatzis; Alison Yarnall; Claudia Mazza; Clemens Becker; Lynn Rochester; Milo Alan Puhan; Anja Frei
Journal:  BMJ Open       Date:  2020-07-19       Impact factor: 2.692

8.  Quantifying Spatiotemporal Gait Parameters with HoloLens in Healthy Adults and People with Parkinson's Disease: Test-Retest Reliability, Concurrent Validity, and Face Validity.

Authors:  Daphne J Geerse; Bert Coolen; Melvyn Roerdink
Journal:  Sensors (Basel)       Date:  2020-06-05       Impact factor: 3.576

9.  Wristbands Containing Accelerometers for Objective Arm Swing Analysis in Patients with Parkinson's Disease.

Authors:  Domiciano Rincón; Jaime Valderrama; Maria Camila González; Beatriz Muñoz; Jorge Orozco; Linda Montilla; Yor Castaño; Andrés Navarro
Journal:  Sensors (Basel)       Date:  2020-08-04       Impact factor: 3.576

10.  The Dresden Protocol for Multidimensional Walking Assessment (DMWA) in Clinical Practice.

Authors:  Katrin Trentzsch; Marie Luise Weidemann; Charlotte Torp; Hernan Inojosa; Maria Scholz; Rocco Haase; Dirk Schriefer; Katja Akgün; Tjalf Ziemssen
Journal:  Front Neurosci       Date:  2020-10-26       Impact factor: 4.677

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