Literature DB >> 22269595

Validity and inter-rater reliability of inertial gait measurements in Parkinson's disease: a pilot study.

Patrick Esser1, Helen Dawes, Johnny Collett, Max G Feltham, Ken Howells.   

Abstract

Walking models driven by centre of mass (CoM) data obtained from inertial measurement units (IMU) or optical motion capture systems (OMCS) can be used to objectively measure gait. However current models have only been validated within typical developed adults (TDA). The purpose of this study was to compare the projected CoM movement within Parkinson's disease (PD) measured by an IMU with data collected from an OMCS after which spatio-temporal gait measures were derived using an inverted pendulum model. The inter-rater reliability of spatio-temporal parameters was explored between expert researchers and clinicians using the IMU processed data. Participants walked 10 m with an IMU attached over their centre of mass which was simultaneously recorded by an OMCS. Data was collected on two occasions, each by an expert researcher and clinician. Ten people with PD showed no difference (p=0.13) for vertical, translatory acceleration, velocity and relative position of the projected centre of mass between IMU and OMCS data. Furthermore no difference (p=0.18) was found for the derived step time, stride length and walking speed for people with PD. Measurements of step time (p=0.299), stride length (p=0.883) and walking speed (p=0.751) did not differ between experts and clinicians. There was good inter-rater reliability for these parameters (ICC3.1=0.979, ICC3.1=0.958 and ICC3.1=0.978, respectively). The findings are encouraging and support the use of IMUs by clinicians to measure CoM movement in people with PD. Copyright Â
© 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22269595     DOI: 10.1016/j.jneumeth.2012.01.005

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  22 in total

1.  Three-dimensional rodent motion analysis and neurodegenerative disorders.

Authors:  Tasos Karakostas; Simon Hsiang; Heather Boger; Lawrence Middaugh; Ann-Charlotte Granholm
Journal:  J Neurosci Methods       Date:  2013-10-12       Impact factor: 2.390

Review 2.  Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.

Authors:  Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy
Journal:  Mhealth       Date:  2022-01-20

3.  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

4.  The effect of levodopa on bilateral coordination and gait asymmetry in Parkinson's disease using inertial sensor.

Authors:  Minji Son; Seung Hwan Han; Chul Hyoung Lyoo; Joo Ae Lim; Jeanhong Jeon; Kee-Bum Hong; Hoon Park
Journal:  NPJ Parkinsons Dis       Date:  2021-05-14

5.  Associations between prefrontal cortex activation and H-reflex modulation during dual task gait.

Authors:  Daan Meester; Emad Al-Yahya; Helen Dawes; Penny Martin-Fagg; Carmen Piñon
Journal:  Front Hum Neurosci       Date:  2014-02-18       Impact factor: 3.169

6.  Instrumenting gait with an accelerometer: a system and algorithm examination.

Authors:  A Godfrey; S Del Din; G Barry; J C Mathers; L Rochester
Journal:  Med Eng Phys       Date:  2015-03-04       Impact factor: 2.242

7.  Estimation of step-by-step spatio-temporal parameters of normal and impaired gait using shank-mounted magneto-inertial sensors: application to elderly, hemiparetic, parkinsonian and choreic gait.

Authors:  Diana Trojaniello; Andrea Cereatti; Elisa Pelosin; Laura Avanzino; Anat Mirelman; Jeffrey M Hausdorff; Ugo Della Croce
Journal:  J Neuroeng Rehabil       Date:  2014-11-11       Impact factor: 4.262

8.  Autonomous Quality Control of Joint Orientation Measured with Inertial Sensors.

Authors:  Karina Lebel; Patrick Boissy; Hung Nguyen; Christian Duval
Journal:  Sensors (Basel)       Date:  2016-07-05       Impact factor: 3.576

9.  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

10.  The Parkinsonian Gait Spatiotemporal Parameters Quantified by a Single Inertial Sensor before and after Automated Mechanical Peripheral Stimulation Treatment.

Authors:  Ana Kleiner; Manuela Galli; Maria Gaglione; Daniela Hildebrand; Patrizio Sale; Giorgio Albertini; Fabrizio Stocchi; Maria Francesca De Pandis
Journal:  Parkinsons Dis       Date:  2015-10-01
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