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Bioengineering
Special Issues
Electronic Wearable Solutions for Sport and Health
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Electronic Wearable Solutions for Sport and Health

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 7178

Special Issue Editor

Prof. Dr. Dante Mantini

E-Mail Website
Guest Editor
Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
Interests: brain imaging; neural engineering; neuroinformatics; motor control; neurorehabilitation; wearable devices; biomedical signal processing; digital biomarkers

Special Issue Information

Dear Colleagues,

In this Special Issue, we will welcome the submission of research articles and reviews that examine new challenges in the use of electronic wearable solutions for sports and health sciences. We would like to invite researchers who are developing new and promising wearable technologies creators of new analysis methodologies and specialists with interesting applications of those methodologies in the fields of sports and health sciences to submit their results to this Special Issue.

Prof. Dr. Dante Mantini
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.

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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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

  • human functional state monitoring systems
  • physiological processes analysis
  • nonlinear analysis
  • complex systems
  • exercise physiology

Published Papers (3 papers)

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Research

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26 pages, 8657 KiB  
Article
Application of DIY Electrodermal Activity Wristband in Detecting Stress and Affective Responses of Students
by Kenneth Y. T. Lim, Minh Tuan Nguyen Thien, Minh Anh Nguyen Duc and Hugo F. Posada-Quintero
Bioengineering 2024, 11(3), 291; https://doi.org/10.3390/bioengineering11030291 - 20 Mar 2024
Viewed by 1706
Abstract
This paper describes the analysis of electrodermal activity (EDA) in the context of students’ scholastic activity. Taking a multidisciplinary, citizen science and maker-centric approach, low-cost, bespoken wearables, such as a mini weather station and biometric wristband, were built. To investigate both physical health [...] Read more.
This paper describes the analysis of electrodermal activity (EDA) in the context of students’ scholastic activity. Taking a multidisciplinary, citizen science and maker-centric approach, low-cost, bespoken wearables, such as a mini weather station and biometric wristband, were built. To investigate both physical health as well as stress, the instruments were first validated against research grade devices. Following this, a research experiment was created and conducted in the context of students’ scholastic activity. Data from this experiment were used to train machine learning models, which were then applied to interpret the relationships between the environment, health, and stress. It is hoped that analyses of EDA data will further strengthen the emerging model describing the intersections between local microclimate and physiological and neurological stress. The results suggest that temperature and air quality play an important role in students’ physiological well-being, thus demonstrating the feasibility of understanding the extent of the effects of various microclimatic factors. This highlights the importance of thermal comfort and air ventilation in real-life applications to improve students’ well-being. We envision our work making a significant impact by showcasing the effectiveness and feasibility of inexpensive, self-designed wearable devices for tracking microclimate and electrodermal activity (EDA). The affordability of these wearables holds promising implications for scalability and encourages crowd-sourced citizen science in the relatively unexplored domain of microclimate’s influence on well-being. Embracing citizen science can then democratize learning and expedite rapid research advancements. Full article
(This article belongs to the Special Issue Electronic Wearable Solutions for Sport and Health)
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16 pages, 15848 KiB  
Article
Wearable and Invisible Sensor Design for Eye-Motion Monitoring Based on Ferrofluid and Electromagnetic Sensing Technologies
by Jiawei Tang, Patrick Luk and Yuyang Zhou
Bioengineering 2023, 10(5), 514; https://doi.org/10.3390/bioengineering10050514 - 25 Apr 2023
Viewed by 1453
Abstract
For many human body diseases, treatments in the early stages are more efficient and safer than those in the later stages; therefore, detecting the early symptoms of a disease is crucial. One of the most significant early indicators for diseases is bio-mechanical motion. [...] Read more.
For many human body diseases, treatments in the early stages are more efficient and safer than those in the later stages; therefore, detecting the early symptoms of a disease is crucial. One of the most significant early indicators for diseases is bio-mechanical motion. This paper provides a unique way of monitoring bio-mechanical eye motion based on electromagnetic sensing technology and a ferro-magnetic material, ferrofluid. The proposed monitoring method has the advantages of being inexpensive, non-invasive, sensor-invisible and extremely effective. Most of the medical devices are cumbersome and bulky, which makes them hard to apply for daily monitoring. However, the proposed eye-motion monitoring method is designed based on ferrofluid eye make-up and invisible sensors embedded inside the frame of glasses such that the system is wearable for daily monitoring. In addition, it has no influence on the appearance of the patient, which is beneficial for the mental health of some patients who do not want to attract public attention during treatment. The sensor responses are modelled using finite element simulation models, and wearable sensor systems are created. The designed frame of the glasses is manufactured based on 3-D printing technology. Experiments are conducted to monitor eye bio-mechanical motions, such as the frequency of eye blinking. Both the quick blinking behaviour with an overall frequency of around 1.1 Hz and the slow blinking behaviour with an overall frequency of around 0.4 Hz can be observed through experimentation. Simulations and measurements results show that the proposed sensor design can be employed for bio-mechanical eye-motion monitoring. In addition, the proposed system has the advantages of invisible sensor set-up and will not affect the appearance of the patient, which is not only convenient for the daily life of the patient but also beneficial for mental health. Full article
(This article belongs to the Special Issue Electronic Wearable Solutions for Sport and Health)
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Review

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20 pages, 1929 KiB  
Review
Monitoring Resistance Training in Real Time with Wearable Technology: Current Applications and Future Directions
by Toon T. de Beukelaar and Dante Mantini
Bioengineering 2023, 10(9), 1085; https://doi.org/10.3390/bioengineering10091085 - 14 Sep 2023
Cited by 1 | Viewed by 3021
Abstract
Resistance training is an exercise modality that involves using weights or resistance to strengthen and tone muscles. It has become popular in recent years, with numerous people including it in their fitness routines to ameliorate their strength, muscle mass, and overall health. Still, [...] Read more.
Resistance training is an exercise modality that involves using weights or resistance to strengthen and tone muscles. It has become popular in recent years, with numerous people including it in their fitness routines to ameliorate their strength, muscle mass, and overall health. Still, resistance training can be complex, requiring careful planning and execution to avoid injury and achieve satisfactory results. Wearable technology has emerged as a promising tool for resistance training, as it allows monitoring and adjusting training programs in real time. Several wearable devices are currently available, such as smart watches, fitness trackers, and other sensors that can yield detailed physiological and biomechanical information. In resistance training research, this information can be used to assess the effectiveness of training programs and identify areas for improvement. Wearable technology has the potential to revolutionize resistance training research, providing new insights and opportunities for developing optimized training programs. This review examines the types of wearables commonly used in resistance training research, their applications in monitoring and optimizing training programs, and the potential limitations and challenges associated with their use. Finally, it discusses future research directions, including the development of advanced wearable technologies and the integration of artificial intelligence in resistance training research. Full article
(This article belongs to the Special Issue Electronic Wearable Solutions for Sport and Health)
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