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008			230128s2022 sz | s |1|| 0|eng d
020			_a9783030928971
024	7		_a10.1007/978-3-030-92897-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aGV481 _b2022 EB
245	0	0	_aInnovation in Physical Activity and Sport : _bSelected Papers from the 1st International Virtual Conference on Technology in Physical Activity and Sport _cedited by Borja Sañudo Corrales, Jerónimo García-Fernández
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (IX, 108 páginas) _b24 ilustraciones, 10 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Bioengineering _x2195-2728
505	0		_aAnalysis 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).
520			_aThis book reports on cutting-edge digital technologies and their applications in physical activity and sport. Gathering selected chapters from the 1st International Conference on Technology in Physical Activity and Sport, held virtually on November 24-27, 2020, from Seville, Spain, it offers a practice-oriented and evidence-based perspective on how technologies can be used for evaluation and control of different parameter relating to sport, physical activity, and health. It covers how digital technologies can be applied for training and monitoring purposes, and for improving athlete's performance, how they influence sport habits in different populations, demonstrating their growing influence in sport businesses (such as fitness centers) and management, and provides new findings on the connection between physical activity and human health, suggesting some interesting directions for future studies. With a good balance of laboratory research and information relevant for professional trainers, this book will provide bioengineers, sport scientists, and physiotherapists with timely information and a multidisciplinary perspective on the use of digital technologies to improve fitness, wellbeing and health in different population groups.
988			_aSpringer_Engineering_2022
650		7	_2embne _9674190 _aEntrenamiento deportivo _xInnovaciones tecnológicas _vCongresos y asambleas
650		7	_2embne _9140368 _aGimnasia _xInnovaciones tecnológicas _vCongresos y asambleas
776	0	8	_iPrinted edition: _z9783030928964
776	0	8	_iPrinted edition: _z9783030928988
776	0	8	_iPrinted edition: _z9783030928995
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-92897-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI