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Applied Sciences
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Wearable Sensor Technology in Gait Analysis and Medical Applications
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Wearable Sensor Technology in Gait Analysis and Medical Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".

Deadline for manuscript submissions: 20 July 2025 | Viewed by 1437

Special Issue Editors

Dr. Lorenzo Brognara

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Guest Editor
Department of Biomedical and Neuromotor Science, University of Bologna, Bologna, Italy
Interests: diabetic foot; peripheral diabetic neuropathy; wearable sensor; gait analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. René Schwesig

E-Mail Website
Guest Editor
Department of Orthopedic and Trauma Surgery, University Medicine Halle, 06120 Halle (Saale), Germany
Interests: sports injuries; physical rehabilitation; exercise science; posture; movement analysis; gait analysis; postural balance
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Arkady Voloshin

E-Mail Website
Guest Editor
1. Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18015, USA
2. Department and Bioengineering, Lehigh University, Bethlehem, PA 18015, USA
Interests: biomechanics; dynamic loading; modelling of cell motility; gait analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Gait analysis using wearable sensors is expected to play an increasingly important role in various clinical fields, as this technology provides a cheap and accessible means to efficiently collect large amounts of human gait data in an unconstrained environment compared to motion capture systems, electromyography, or other systems requiring costly equipment and trained engineers only available in movement analysis research laboratories. Over the last decade, several reports have pinpointed the importance of the early detection of patients with gait impairments and at risk of falling. In particular, a gait speed lower than 0.8 m/s is a reliable cut-off for identifying subjects at increased risk of disability, as well as a stride length of 0.64 m, accurately predicting major adverse events such as physical disability, falls, institutionalization, and mortality. This Special Issue aims to present current findings and perspectives on the effectiveness of wearable sensor-based gait assessments, enhancing our knowledge of them as simple screenings to predict major adverse outcomes, highlighting the importance of gait impairments.

Dr. Lorenzo Brognara
Prof. Dr. René Schwesig
Prof. Dr. Arkady Voloshin
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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
  • wearable sensor
  • accelerometry
  • inertial sensor
  • wearable device
  • fall risk

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Published Papers (1 paper)

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Research

23 pages, 4262 KiB  
Article
Can Foot Orthoses Prevent Falls? A Proposal for a New Evaluation Protocol
by Matteo Montesissa, Ilaria Raimondi, Nicola Baldini, Antonio Mazzotti and Lorenzo Brognara
Appl. Sci. 2025, 15(3), 1297; https://doi.org/10.3390/app15031297 - 27 Jan 2025
Viewed by 690
Abstract
Foot pain represents one of the most common symptoms in lower limb issues, especially in elderly individuals. This condition, often associated with other pathologies, increases the risk of falling. To better understand the risk of falls, it is essential to assess patients’ postural [...] Read more.
Foot pain represents one of the most common symptoms in lower limb issues, especially in elderly individuals. This condition, often associated with other pathologies, increases the risk of falling. To better understand the risk of falls, it is essential to assess patients’ postural stability. In this pilot study, we aimed to set a protocol to prevent the falling risk. We propose the use of inertial sensors (IMUs) to detect even minimal body oscillations in a non-invasive, rapid, and cost-effective way. We have analyzed a sample of 35 patients (age = 58 ± 14 years, female = 20/male = 15) to investigate the total range of body sway in the anteroposterior (AP) and mediolateral (ML) directions during static balance in relation to their age and BMI. The analysis of the collected parameters (sway area, sway pathAP, and sway pathML) has showed a lower stability at t1, at the time of orthosis application, with respect to the previous condition, implied by the necessary period of adaptation to the new plantar device. In fact, the postural parameters have visibly improved at 30 days (t2). Comparing the results obtained in the different postural exercises, we have obtained significant differences between the natural standing position with eyes open and the others. According to these results, we can suppose that using inertial sensors associated to postural exercise is the best way to assess a patient’s postural stability and that the progressive improvements may be more marked over a longer period, such as six months (t3). Full article
(This article belongs to the Special Issue Wearable Sensor Technology in Gait Analysis and Medical Applications)
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