Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.3
3.4
Journals
Sensors
Special Issues
Gait Analysis Based on Sensing Technology in Populations at Risk...
sensors-logo
Submit to Sensors Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

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: closed (10 August 2024) | Viewed by 2677

Special Issue Editors

Dr. Sheree Hurn

E-Mail Website
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
Dr. Anna Hatton

E-Mail Website
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
Dr. Wolbert Van den Hoorn

E-Mail Website
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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

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

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 3956 KiB  
Article
Daily-Life Walking Speed, Quality and Quantity Derived from a Wrist Motion Sensor: Large-Scale Normative Data for Middle-Aged and Older Adults
by Lloyd L. Y. Chan, Stephen R. Lord and Matthew A. Brodie
Sensors 2024, 24(16), 5159; https://doi.org/10.3390/s24165159 - 10 Aug 2024
Viewed by 792
Abstract
Walking is crucial for independence and quality of life. This study leverages wrist-worn sensor data from UK Biobank participants to establish normative daily-life walking data, stratified by age and sex, to provide benchmarks for research and clinical practice. The Watch Walk digital biomarkers [...] Read more.
Walking is crucial for independence and quality of life. This study leverages wrist-worn sensor data from UK Biobank participants to establish normative daily-life walking data, stratified by age and sex, to provide benchmarks for research and clinical practice. The Watch Walk digital biomarkers were developed, validated, and applied to 92,022 participants aged 45–79 who wore a wrist sensor for at least three days. Normative data were collected for daily-life walking speed, step-time variability, step count, and 17 other gait and sleep biomarkers. Test–retest reliability was calculated, and associations with sex, age, self-reported walking pace, and mobility problems were examined. Population mean maximal and usual walking speeds were 1.49 and 1.15 m/s, respectively. The daily step count was 7749 steps, and step regularity was 65%. Women walked more regularly but slower than men. Walking speed, step count, longest walk duration, and step regularity decreased with age. Walking speed is associated with sex, age, self-reported pace, and mobility problems. Test–retest reliability was good to excellent (ICC ≥ 0.80). This study provides large-scale normative data and benchmarks for wrist-sensor-derived digital gait and sleep biomarkers from real-world data for future research and clinical applications. Full article
(This article belongs to the Special Issue Gait Analysis Based on Sensing Technology in Populations at Risk of Falls)
►▼ Show Figures

Figure 1

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 1308
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
(This article belongs to the Special Issue Gait Analysis Based on Sensing Technology in Populations at Risk of Falls)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop