Buch, Englisch, 108 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 354 g
Selected Papers from the 1st International Virtual Conference on Technology in Physical Activity and Sport
Buch, Englisch, 108 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 354 g
Reihe: Lecture Notes in Bioengineering
ISBN: 978-3-030-92896-4
Verlag: Springer International Publishing
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Sozialwissenschaften Sport | Tourismus | Freizeit Sport Sport, Sportwissenschaft: Allgemeines
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Personalwesen, Human Resource Management
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
Weitere Infos & Material
Analysis of explosive force, sprint distance and high-intensity running in a match situation between Hungarian second-division soccer player.- Application and Efficacy of Portable Wearable Metabolic Devices.- MyProprioception, a Smartphone application to evaluate proprioception in sport: Proprioceptive profiles of female players of Basketball Balearic League of Mallorca Island.- The impact of Smartphone use on body composition, physical fitness, quality of life, and selective attention on office workers. A pilot study.- The tensiomiography amplitude stimulation determines the interpretation of the rectus femoris neuromuscular status after a repeated sprint training.- Benefits of virtual reality in people with chronic pain.- Could 'exergaming' used as a neurorehabilitation tool in patients diagnosed with a severe mental disorder? A scientific approach.- Estimating Energy Expenditure during Active Virtual Reality Gaming.- The importance of digital tools for adapting corporate wellness programs to the new situation caused by COVID-19. A real case study.- Analysis of the sport-related habits of fitness centres users according to their institutional mobile applications downloads.- Applying Machine Learning to estimate osteoporosis risk based on compliance with WHO guidelines for physical activity in postmenopausal women: Data from the 2017-18 National Health and Nutritional Examination Surveys (NHANES).