Cutting-Edge Technology in Exercise Science: From Performance to Health Applications
A special issue of Journal of Functional Morphology and Kinesiology (ISSN 2411-5142). This special issue belongs to the section "Athletic Training and Human Performance".
Deadline for manuscript submissions: 15 September 2025 | Viewed by 224
Special Issue Editor
Interests: sports science; exercise physiology; resistance training; eccentric training; exercise prescription for special populations
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the latest advancements in emerging technologies applied to training, performance, and health. With the rapid evolution of digital tools, wearable devices, artificial intelligence, and new technologies such as electric motor devices and virtual platforms, the fields of exercise science, sports performance, and rehabilitation are undergoing a transformative shift. This Special Issue invites original research, systematic reviews, and case studies that propose, implement, or validate innovative technologies designed to enhance physical training, optimize athletic performance, and improve health outcomes as well as rehabilitation processes. The topics of interest include the use of smart devices for training, monitoring, and feedback; virtual reality for rehabilitation; machine learning in exercise prescription; and mobile applications for health promotion and individualized care. By bridging the gap between technology and practice, this Special Issue seeks to provide evidence-based insights into how these innovations can be effectively integrated into real-world settings, benefiting both practitioners and end users. Researchers, clinicians, and professionals are encouraged to contribute their findings to advancing the understanding and application of cutting-edge technologies in these domains.
We cordially invite researchers, clinicians, and professionals to contribute to this Special Issue by sharing their innovative findings and insights. Together, let us advance the field of exercise science and sports performance through the integration of cutting-edge technologies and promote new opportunities for research, practise, and health applications.
Best regards,
Dr. Sergio Maroto Izquierdo
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. Journal of Functional Morphology and Kinesiology is an international peer-reviewed open access quarterly 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 1600 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
- exercise science
- sports performance
- rehabilitation
- wearable electronic devices
- artificial intelligence
- virtual reality therapy
- machine learning
- mobile applications
- health promotion
- physical fitness
- training equipment
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