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Bioengineering
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Advanced Measurement in Biomedical Engineering: Integration Motion Tracking, Virtual Reality,...
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Advanced Measurement in Biomedical Engineering: Integration Motion Tracking, Virtual Reality, Artificial Intelligence, and Biosensors for Sports Healthcare

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

Deadline for manuscript submissions: closed (31 March 2025) | Viewed by 6858

Special Issue Editors

Dr. Longyan Chen

E-Mail Website
Guest Editor
Department of Biomedical, Industrial and Systems Engineering, Gannon University, Erie, PA, USA
Interests: biomedical devices; biosensors; biomaterials; materials for biomechanics; bioanalysis for environmental monitoring and food safety; biomanufacturing
Dr. Xiaoxu Ji

E-Mail Website
Co-Guest Editor
Biomedical Engineering, Gannon University, Erie, PA 16541, USA
Interests: bio-medical engineering; motion capture; injury assessment; human factor; ergonomics; VR; machine learning; whole-body vibration

Special Issue Information

Dear Colleagues,

Overview:

Injury prevention is a critical area in healthcare, sports, and rehabilitation, where the integration of cutting-edge technologies can have a significant impact. The convergence of motion tracking, virtual reality (VR), artificial intelligence (AI), and biosensors offers innovative approaches to measuring, analyzing, and preventing injuries. These technologies enable the development of sophisticated systems for monitoring biomechanics, predicting injury risks, and tailoring personalized intervention strategies. Given this background, this Special Issue is dedicated to exploring the latest advancements in bioengineering that focus on measurement technologies designed to prevent injuries. The aim is to highlight research that leverages the combination of motion tracking, VR, AI, and biosensors to create effective injury prevention solutions across various domains, including sports science, occupational health, and clinical rehabilitation.

Topics of Interest:

We invite original research articles, reviews, and case studies on topics including, but not limited to, the following:

  • Motion Tracking for Injury Prevention: Advanced techniques for tracking and analyzing human movement patterns to identify risk factors for injuries in sports, workplace ergonomics, and rehabilitation settings.
  • Virtual Reality in Injury Prevention: The use of VR for simulating risky scenarios, enhancing training programs, and providing immersive environments for injury prevention education and rehabilitation exercises.
  • Artificial Intelligence in Injury Prediction: AI-driven models for predicting injury risks based on biomechanical data, developing personalized training regimens, and optimizing rehabilitation protocols.
  • Biosensors and Wearable Technology: The development and application of biosensors for the real-time monitoring of physiological parameters related to injury risk, including muscle fatigue, joint stress, and balance, with applications in preventive care.

Integrated Systems for Injury Prevention: Studies on the combination of motion tracking, VR, AI, and biosensors to create comprehensive injury prevention systems, including wearable technology for athletes, ergonomic assessment tools, and advanced diagnostics for early intervention.

Dr. Longyan Chen
Dr. Xiaoxu Ji
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. 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

  • motion tracking
  • human factors
  • ergonomics
  • virtual reality
  • artificial intelligence
  • measurement
  • biosensors
  • injury prevention

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Published Papers (3 papers)

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Research

12 pages, 2473 KiB  
Article
Singlet Oxygen Energy for Enhancing Physiological Function and Athletic Performance
by Chia-Feng Hsieh, Chun-Ta Huang, Cheng-Chung Chang and Tun-Pin Hung
Bioengineering 2025, 12(2), 118; https://doi.org/10.3390/bioengineering12020118 - 27 Jan 2025
Viewed by 893
Abstract
A total of 75% of the oxygen humans inhale is exhaled without being utilized. To help organisms better utilize oxygen in exercise training, we designed the singlet oxygen energy generator (SOEG), a device that converts ambient air into energy-rich oxygen. The SOEG comprises [...] Read more.
A total of 75% of the oxygen humans inhale is exhaled without being utilized. To help organisms better utilize oxygen in exercise training, we designed the singlet oxygen energy generator (SOEG), a device that converts ambient air into energy-rich oxygen. The SOEG comprises an LED light source, a photosensitizer kit, and an air pump. Based on the principle of photosynthesis, the photosensitizer activates oxygen to produce excited-state singlet oxygen under the irradiation of light, which releases about 94 kJ/mol of singlet oxygen energy (SOE) after the relaxation process. After comparing data from 14 volunteers, we found that inhaling SOE during exercise significantly reduces energy consumption during running, decreases oxygen uptake, and improves running efficiency. At the same time, SOE effectively lowers blood lactate levels and improves oxygen utilization, indicating that SOE may enhance endurance and efficiency during exercise. Full article
(This article belongs to the Special Issue Advanced Measurement in Biomedical Engineering: Integration Motion Tracking, Virtual Reality, Artificial Intelligence, and Biosensors for Sports Healthcare)
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12 pages, 3949 KiB  
Article
Liquid Metal-Based Dual-Response Pressure Sensor for Dual-Modality Sensing and Robotic Object Recognition
by Yanru Bai, Zhi Wang, Yizhuo Zhang, Rui Guo and Xisheng Li
Bioengineering 2024, 11(12), 1211; https://doi.org/10.3390/bioengineering11121211 - 29 Nov 2024
Cited by 2 | Viewed by 3865
Abstract
Characterized by their high sensitivity and flexible deformation, flexible pressure sensors have been extensively applied in various fields such as wearable electronics, health monitoring, soft robotics, and human–computer interaction. In this research, we developed a dual-response pressure sensor (DRPS) designed to identify object [...] Read more.
Characterized by their high sensitivity and flexible deformation, flexible pressure sensors have been extensively applied in various fields such as wearable electronics, health monitoring, soft robotics, and human–computer interaction. In this research, we developed a dual-response pressure sensor (DRPS) designed to identify object materials. By integrating the operating principles of capacitive and resistive sensors and employing microstructured dielectric layers, we enhanced the sensitivity and detection range of the pressure sensor. Additionally, this research introduced an innovative, simple, and cost-effective method for preparing flexible pressure sensors. Following a comprehensive performance evaluation, the DRPS exhibited high sensitivity, a broad detection range, and robust stability. Finally, utilizing a mechanical claw equipped with an intelligent perception data collection system, we effectively distinguished various materials, further corroborating the practicality of DRPS in intelligent perception applications. Full article
(This article belongs to the Special Issue Advanced Measurement in Biomedical Engineering: Integration Motion Tracking, Virtual Reality, Artificial Intelligence, and Biosensors for Sports Healthcare)
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9 pages, 1313 KiB  
Article
The Effectiveness of Applying Artificial Intelligence in Sick Children’s Communication
by Hsin-Shu Huang and Bih-O Lee
Bioengineering 2024, 11(11), 1097; https://doi.org/10.3390/bioengineering11111097 - 31 Oct 2024
Viewed by 1572
Abstract
Pediatric nursing students are required to be taught how to overcome their own psychological stress during their internship in order to understand sick children’s emotional reactions, as well as to be able to interact and communicate with such children. This quasi-experimental study proves [...] Read more.
Pediatric nursing students are required to be taught how to overcome their own psychological stress during their internship in order to understand sick children’s emotional reactions, as well as to be able to interact and communicate with such children. This quasi-experimental study proves that the application of AI image health education e-books by the nursing teacher is more effective than traditional paper handout teaching materials in improving nursing students’ self-efficacy when using therapeutic games to deal with and reduce sick children’s fears of medical examinations and treatments (p < 0.05). AI-driven tools can enable the development of personalized e-learning materials that target specific areas for cognitive improvement. This targeted approach can enhance knowledge retention and skill development, resulting in better-prepared healthcare professionals. Full article
(This article belongs to the Special Issue Advanced Measurement in Biomedical Engineering: Integration Motion Tracking, Virtual Reality, Artificial Intelligence, and Biosensors for Sports Healthcare)
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