Literature DB >> 33530508

The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes.

Ríona Mc Ardle1, Silvia Del Din1, Paul Donaghy1, Brook Galna1,2, Alan J Thomas1, Lynn Rochester1,3.   

Abstract

Laboratory-based gait assessments are indicative of clinical outcomes (e.g., disease identification). Real-world gait may be more sensitive to clinical outcomes, as impairments may be exaggerated in complex environments. This study aims to investigate how different environments (e.g., lab, real world) impact gait. Different walking bout lengths in the real world will be considered proxy measures of context. Data collected in different dementia disease subtypes will be analysed as disease-specific gait impairments are reported between these groups. Thirty-two people with cognitive impairment due to Alzheimer's disease (AD), 28 due to dementia with Lewy bodies (DLB) and 25 controls were recruited. Participants wore a tri-axial accelerometer for six 10 m walks in lab settings, and continuously for seven days in the real world. Fourteen gait characteristics across five domains were measured (i.e., pace, variability, rhythm, asymmetry, postural control). In the lab, the DLB group showed greater step length variability (p = 0.008) compared to AD. Both subtypes demonstrated significant gait impairments (p < 0.01) compared to controls. In the real world, only very short walking bouts (<10 s) demonstrated different gait impairments between subtypes. The context where walking occurs impacts signatures of gait impairment in dementia subtypes. To develop real-world gait assessment as a clinical tool, algorithms and metrics must accommodate for changes in context.

Entities:  

Keywords:  accelerometer; continuous monitoring; dementia; gait; real-world environments; wearable technology

Mesh:

Year:  2021        PMID: 33530508      PMCID: PMC7865394          DOI: 10.3390/s21030813

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  43 in total

1.  No adjustments are needed for multiple comparisons.

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Authors:  Aner Weiss; Marina Brozgol; Moran Dorfman; Talia Herman; Shirley Shema; Nir Giladi; Jeffrey M Hausdorff
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3.  Does external walking environment affect gait patterns?

Authors:  Matthew R Patterson; Darragh Whelan; Brenda Reginatto; Niamh Caprani; Lorcan Walsh; Alan F Smeaton; Akihiro Inomata; Brian Caulfield
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

4.  Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis.

Authors:  Aodhán Hickey; Silvia Del Din; Lynn Rochester; Alan Godfrey
Journal:  Physiol Meas       Date:  2016-12-12       Impact factor: 2.833

5.  Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use.

Authors:  Silvia Del Din; Alan Godfrey; Lynn Rochester
Journal:  IEEE J Biomed Health Inform       Date:  2015-04-02       Impact factor: 5.772

6.  Predicting first fall in newly diagnosed Parkinson's disease: Insights from a fall-naïve cohort.

Authors:  Sue Lord; Brook Galna; Alison J Yarnall; Shirley Coleman; David Burn; Lynn Rochester
Journal:  Mov Disord       Date:  2016-09-13       Impact factor: 10.338

7.  Free-living gait characteristics in ageing and Parkinson's disease: impact of environment and ambulatory bout length.

Authors:  Silvia Del Din; Alan Godfrey; Brook Galna; Sue Lord; Lynn Rochester
Journal:  J Neuroeng Rehabil       Date:  2016-05-12       Impact factor: 4.262

8.  Comprehensive measurement of stroke gait characteristics with a single accelerometer in the laboratory and community: a feasibility, validity and reliability study.

Authors:  Sarah A Moore; Aodhan Hickey; Sue Lord; Silvia Del Din; Alan Godfrey; Lynn Rochester
Journal:  J Neuroeng Rehabil       Date:  2017-12-29       Impact factor: 4.262

Review 9.  The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control.

Authors:  Christopher Buckley; Lisa Alcock; Ríona McArdle; Rana Zia Ur Rehman; Silvia Del Din; Claudia Mazzà; Alison J Yarnall; Lynn Rochester
Journal:  Brain Sci       Date:  2019-02-06

10.  Gait impairment precedes clinical symptoms in spinocerebellar ataxia type 6.

Authors:  Lynn Rochester; Brook Galna; Sue Lord; Dadirayi Mhiripiri; Gail Eglon; Patrick F Chinnery
Journal:  Mov Disord       Date:  2013-12-03       Impact factor: 10.338

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  7 in total

1.  Feasibility of Markerless Motion Capture for Three-Dimensional Gait Assessment in Community Settings.

Authors:  Theresa E McGuirk; Elliott S Perry; Wandasun B Sihanath; Sherveen Riazati; Carolynn Patten
Journal:  Front Hum Neurosci       Date:  2022-06-09       Impact factor: 3.473

2.  The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking.

Authors:  Arne Küderle; Nils Roth; Jovana Zlatanovic; Markus Zrenner; Bjoern Eskofier; Felix Kluge
Journal:  PLoS One       Date:  2022-06-09       Impact factor: 3.752

3.  Mobility of Older Adults: Gait Quality Measures Are Associated With Life-Space Assessment Scores.

Authors:  Anisha Suri; Andrea L Rosso; Jessie VanSwearingen; Leslie M Coffman; Mark S Redfern; Jennifer S Brach; Ervin Sejdić
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-09-13       Impact factor: 6.591

Review 4.  Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review.

Authors:  Yehuda Weizman; Oren Tirosh; Jeanie Beh; Franz Konstantin Fuss; Sonja Pedell
Journal:  Int J Environ Res Public Health       Date:  2021-12-02       Impact factor: 3.390

Review 5.  Multidimensional Clinical Assessment in Frontotemporal Dementia and Its Spectrum in Latin America and the Caribbean: A Narrative Review and a Glance at Future Challenges.

Authors:  Fernando Henríquez; Victoria Cabello; Sandra Baez; Leonardo Cruz de Souza; Patricia Lillo; David Martínez-Pernía; Loreto Olavarría; Teresa Torralva; Andrea Slachevsky
Journal:  Front Neurol       Date:  2022-02-16       Impact factor: 4.003

6.  An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson's Disease.

Authors:  Luis R Peraza; Kirsi M Kinnunen; Roisin McNaney; Ian J Craddock; Alan L Whone; Catherine Morgan; Richard Joules; Robin Wolz
Journal:  Sensors (Basel)       Date:  2021-12-11       Impact factor: 3.576

7.  Prediction of Disorientation by Accelerometric and Gait Features in Young and Older Adults Navigating in a Virtually Enriched Environment.

Authors:  Stefan J Teipel; Chimezie O Amaefule; Stefan Lüdtke; Doreen Görß; Sofia Faraza; Sven Bruhn; Thomas Kirste
Journal:  Front Psychol       Date:  2022-04-25
  7 in total

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