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Gait Analysis Based on Sensing Technology in Populations at Risk of Falls

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: 10 August 2024 | Viewed by 1175

Special Issue Editors


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Guest Editor
Faculty of Health, School of Clinical Sciences, Queensland University of Technology (QUT), Kelvin Grove 4059, Australia
Interests: lower limb musculoskeletal disorders; rehabilitation; gait analysis; footwear

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Guest Editor
School of Health and Rehabilitation Sciences, The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia
Interests: footwear devices; postural control; falls prevention; cutaneous sensation; feet; gait analysis; neurological diseases; ageing

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Guest Editor
Faculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Kelvin Grove 4059, Australia
Interests: gait analysis; postural control; low back pain

Special Issue Information

Dear Colleagues,

Analysis of a person’s walking gait can provide many insights into their ability to control their centre of mass smoothly during ambulation. Gait patterns often become irregular or unstable in populations at increased risk of accidental falls, such as older adults or those with neurological conditions, due to declining sensory and motor function. Therefore, accurate assessment of gait stability and symmetry is important in both clinical and research settings that are focused on fall risk assessment and fall prevention. With the rate of development of gait analysis technologies, it is not always clear to clinicians and researchers which technologies will provide the most relevant and accurate gait information.  Accuracy and repeatability are of utmost importance in clinical and research applications, particularly where the risk of falls is being assessed or the effectiveness of interventions for preventing falls is being evaluated. Therefore, it is the aim of this Special Issue to draw together the latest literature applying gait analysis technologies in populations at increased risk of falls.

Dr. Sheree Hurn
Dr. Anna Hatton
Dr. Wolbert Van den Hoorn
Guest Editors

Manuscript Submission Information

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Keywords

  • gait analysis
  • gait stability
  • falls risk
  • falls prevention

Published Papers (1 paper)

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Research

14 pages, 1798 KiB  
Article
The Impact of Dual-Tasks and Disease Severity on Posture, Gait, and Functional Mobility among People Living with Dementia in Residential Care Facilities: A Pilot Study
by Deborah A Jehu, Ryan Langston, Richard Sams, Lufei Young, Mark Hamrick, Haidong Zhu and Yanbin Dong
Sensors 2024, 24(9), 2691; https://doi.org/10.3390/s24092691 - 24 Apr 2024
Viewed by 712
Abstract
Gait speed and timed-up-and-go (TUG) predict cognitive decline, falls, and mortality. Dual-tasks may be useful in cognitive screening among people living with dementia (PWD), but more evidence is needed. This cross-sectional study aimed to compare single- and dual-task performance and determine the influence [...] Read more.
Gait speed and timed-up-and-go (TUG) predict cognitive decline, falls, and mortality. Dual-tasks may be useful in cognitive screening among people living with dementia (PWD), but more evidence is needed. This cross-sectional study aimed to compare single- and dual-task performance and determine the influence of dementia severity on dual-task performance and interference. Thirty PWD in two residential care facilities (Age: 81.3 ± 7.1 years; Montreal Cognitive Assessment: 10.4 ± 6.0 points) completed two trials of single- (feet apart) and dual-task posture (feet apart while counting backward), single- (walk 4 m) and dual-task gait (walk 4m while naming words), and single- (timed-up-and-go (TUG)), and dual-task functional mobility (TUG while completing a category task) with APDM inertial sensors. Dual-tasks resulted in greater sway frequency, jerk, and sway area; slower gait speed; greater double limb support; shorter stride length; reduced mid-swing elevation; longer TUG duration; reduced turn angle; and slower turn velocity than single-tasks (ps < 0.05). Dual-task performance was impacted (reduced double limb support, greater mid-swing elevation), and dual-task interference (greater jerk, faster gait speed) was related to moderate-to-severe compared to mild PWD. Moderate-to-severe PWD had poorer dynamic stability and a reduced ability to appropriately select a cautious gait during dual-tasks than those with mild PWD, indicating the usefulness of dual-tasks for cognitive screening. Full article
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