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Sensing Human Movement in Health and Disease

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

Deadline for manuscript submissions: closed (20 July 2021) | Viewed by 6660

Special Issue Editor


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Guest Editor
Physiology, School of Medicine, National University of Ireland Galway, H91 W5P7 Galway, Ireland
Interests: interface of human physiology and medical device development with particular emphasis on electrophysiology; neuromodulation and human movement
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The sensing of human movement for health and well being appliactions is growing rapidly and is becoming a significant theme in the connected health ecosystem. There are numerous sensor types available, from wearables to fixed detectors, that can track movement both indoors and outdoors. However, in particular, wearable sensor devices are increasingly being employed across a range of healthcare applications. These devices collect various types of data on the health and wellbeing of the wearer, while also providing the possibility of delivering different forms of therapeutic intervention directly to the user. The popularity and diversity of these devices is growing both in the consumer domain and, more recently, in healthcare applications. By tracking and managing physical activity in relation to healthy aging, tracking the course of a rehabilitaition programme and the management of chronic diseases such as diabetes, Parkinson’s disease and chronic obstructive airways disease is now a possibility. In this Special Issue of Sensors, we will report on the application of wearable sensors and how they are used to track, manage and mitigate health problems for people in the 21st century. We invite authors to submit reviews, case studies and novel research articles that explore particular wearable sensors for healthy aging and the management of chronic diseases.

Dr. Leo Quinlan
Guest Editor

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.

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Keywords

  • wearables
  • wearable sensors
  • diabetes
  • Parkinson’s disease
  • multiple sclerosis
  • COPD
  • asthma
  • healthy aging
  • arthritis

Published Papers (2 papers)

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Research

16 pages, 14095 KiB  
Article
Step Length Measurements Using the Received Signal Strength Indicator
by Zanru Yang, Le Chung Tran and Farzad Safaei
Sensors 2021, 21(2), 382; https://doi.org/10.3390/s21020382 - 07 Jan 2021
Cited by 4 | Viewed by 2798
Abstract
In this paper, portable transceivers with micro-controllers and radio frequency modules are developed to measure the received signal strength, path loss, and thus the distance between the human ankles for both indoor and outdoor environments. By comparing the experimental results and the theoretical [...] Read more.
In this paper, portable transceivers with micro-controllers and radio frequency modules are developed to measure the received signal strength, path loss, and thus the distance between the human ankles for both indoor and outdoor environments. By comparing the experimental results and the theoretical model, a path loss model between transceivers attached to the subject’s ankles is derived. With the developed experimental path loss model, the step length can be measured relatively accurately, despite the imperfections of hardware devices, with the distance errors of a centimeter level. This paper, therefore, helps address the need for a distance measurement method that has fewer health concerns, is accurate, and is less affected by occlusions and confined spaces. Our findings possibly lay a foundation for some important applications, such as the measurement of gait speed and localization of the human body parts, in wireless body area networks. Full article
(This article belongs to the Special Issue Sensing Human Movement in Health and Disease)
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10 pages, 969 KiB  
Article
Impact of Trunk Resistance and Stretching Exercise on Fall-Related Factors in Patients with Parkinson’s Disease: A Randomized Controlled Pilot Study
by Changhong Youm, Youkyung Kim, Byungjoo Noh, Myeounggon Lee, Jinhee Kim and Sang-Myung Cheon
Sensors 2020, 20(15), 4106; https://doi.org/10.3390/s20154106 - 23 Jul 2020
Cited by 10 | Viewed by 3231
Abstract
Background: This study aimed to examine the effect of a 12-week progressive trunk resistance and stretching exercise program on fall-related factors in patients with Parkinson’s disease (PD). Methods: A randomized study assessed a progressive trunk resistance and stretching exercise program over a 12-week [...] Read more.
Background: This study aimed to examine the effect of a 12-week progressive trunk resistance and stretching exercise program on fall-related factors in patients with Parkinson’s disease (PD). Methods: A randomized study assessed a progressive trunk resistance and stretching exercise program over a 12-week period. A total of 17 patients with PD participated and were
randomly allocated into an exercise group (n = 10) or a control group (n = 7). Participants in the exercise group completed the exercise program in 60- to 90-min sessions for three days per week. Primary and secondary outcome measures included the trunk mobility scale, functional fitness test, standing balance, and sit-to-walk test. Results: The exercise group showed improvements in functional fitness, trunk mobility, standing balance, and dynamic stability compared with the control group (all p < 0.05). The 2.44 m timed up and go test (odds ratio (OR): 0.125) and the 2 min step test (OR: 10.584) of the functional fitness test, and the first-step length (OR: 3.558) and first-toe clearance height (OR: 4.777) of the sit-to-walk test, were different between the groups following the exercise program. Conclusion: This 12-week exercise program improved fall-related factors in patients with PD and may lead to prevention of fall-related injuries. Full article
(This article belongs to the Special Issue Sensing Human Movement in Health and Disease)
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