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State-of-the-Art of Wearable Sensors in Canada

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

Deadline for manuscript submissions: closed (20 November 2022) | Viewed by 2464

Special Issue Editors


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Guest Editor
Department of Kinesiology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Interests: balance; gait; aging; neurodegenerative disease; stroke; neurorehabilitation; wearable sensors

E-Mail Website
Guest Editor
Department of Kinesiology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Interests: behavioral neuroscience; balance; mobility; aging; Parkinson's disease; dementia; remote patient monitoring
Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Interests: electroencephalography; electromyography; transcranial magnetic stimulation; magnetic resonance imaging; peripheral nerve stimulation; galvanic skin measurement; eye-tracker; motion analysis; kinetic measurement; wearable sensor technology

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide a comprehensive overview of the state of the art of wearable sensor development and application in Canada. We invite research articles that profile the broad spectrum of topics related to wearable sensors from technology and platform development, data analytics, data management, or security/privacy to the use of wearable technology across health care, workplace and sport/performance applications. Applied studies can range from population studies to feasibility or case series. Studies that focus on knowledge translation, implementation, and evaluation of wearable sensor technology are also encouraged. This Special Issue will publish high-quality research papers and review manuscripts. This Special Issue is directed toward, but not limited to, a range of topics including:

General Topics:

  • Sensor development
  • Reliability and validity
  • Platforms supporting deployment of multi-modal/multi-nodal solutions
  • Data curation and management techniques
  • Data analytics for wearable sensors
  • Data fusion and multi-sensor aggregation
  • Standards and guidelines for analysis and use of wearable sensors
  • In-clinic applications of wearable sensors
  • Health system integration
  • Free living applications of wearable sensors such as:
    • Health promotion
    • Aging
    • Disease prevention, monitoring and management
    • Occupational health, wellness and performance
    • Activity/sport performance and training
  • Usability, wearability and compliance of wearable sensors
  • Feedback and behaviour change based on wearable sensors
  • Data governance and privacy, ethical considerations and/or frameworks for use
  • Clinical acceptance and usability of information from wearable sensors

Prof. Dr. William McIlroy
Dr. Karen Van Ooteghem
Dr. James Tung
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.

Published Papers (1 paper)

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Research

11 pages, 1095 KiB  
Article
Characterization of Detailed Sedentary Postures Using a Tri-Monitor ActivPAL Configuration in Free-Living Conditions
by Myles W. O’Brien, W. Seth Daley, Beverly D. Schwartz, Madeline E. Shivgulam, Yanlin Wu, Derek S. Kimmerly and Ryan J. Frayne
Sensors 2023, 23(2), 587; https://doi.org/10.3390/s23020587 - 04 Jan 2023
Cited by 4 | Viewed by 1469
Abstract
Objective monitors such as the activPAL characterize time when the thigh is horizontal as sedentary time. However, there are physiological differences between lying, bent-legged sitting, and straight-legged sitting. We introduce a three-monitor configuration to assess detailed sedentary postures and demonstrate its use in [...] Read more.
Objective monitors such as the activPAL characterize time when the thigh is horizontal as sedentary time. However, there are physiological differences between lying, bent-legged sitting, and straight-legged sitting. We introduce a three-monitor configuration to assess detailed sedentary postures and demonstrate its use in characterizing such positions in free-living conditions. We explored time spent in each sedentary posture between prolonged (>1 h) versus non-prolonged (<1 h) sedentary bouts. In total, 35 healthy adults (16♀, 24 ± 3 years; 24 h/day for 6.8 ± 1.0 days) wore an activPAL accelerometer on their thigh, torso, and shin. Hip and knee joint flexion angle estimates were determined during sedentary bouts using the dot-product method between the torso–thigh and thigh–shin, respectively. Compared to lying (69 ± 60 min/day) or straight-legged sitting (113 ± 100 min/day), most time was spent in bent-legged sitting (439 ± 101 min/day, p < 0.001). Most of the bent-legged sitting time was accumulated in non-prolonged bouts (328 ± 83 vs. 112 ± 63 min/day, p < 0.001). In contrast, similar time was spent in straight-legged sitting and lying between prolonged/non-prolonged bouts (both, p > 0.26). We document that a considerable amount of waking time is accumulated in lying or straight-legged sitting. This methodological approach equips researchers with a means of characterizing detailed sedentary postures in uncontrolled conditions and may help answer novel research questions on sedentariness. Full article
(This article belongs to the Special Issue State-of-the-Art of Wearable Sensors in Canada)
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