Araştırma Makalesi
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Yıl 2021, Cilt: 23 Sayı: 1, 40 - 45, 15.05.2021

Öz

Günümüzde sportif performansın geliştirilmesinde sadece antrenman yöntemleri değil gelişen teknolojinin uzmanlara sağladığı giyilebilir oyuncu takip sistemleri de önemli rol oynamaktadır. Üst seviye sporcularda yapılan iş olarak dış yükün takibi ve iç yük görüntüleyerek istendik egzersiz şiddetinde antrenman veren bu sistemlerin kullanımı artmıştır. Ayrıca, akut ve kronik antrenman yükü ile sakatlık risk artışını da kontrol eden giyilebilir teknoloji ürünleri, sakatlıktan geri dönüşte de önemli bir geribildirim mekanizması olarak görev yapmaya başlamıştır. Son dönemde aktivite paterni belirlemekte ve müsabaka içi veri toplanması için hareket analizinde de kullanıldığı not edilmektedir. Giyilebilir teknoloji ürünleri Küresel Konumlama Sistemi, Lokal Konumlama sistemi, Mikro Elektromekanik Sistem, Atalet Ölçüm Sistemi gibi farklı yolları kullanmakta ve farklı sensorlerin farklı frekanslarda bilgi toplayarak değişken algoritmalarla veri işlediği göz önünde bulundurulmalıdır. Son 10 yılda farklı ticari ürünlerin yaygın olarak piyasaya sunulması ile kullanımı artan giyilebilir teknoloji sporda performans geliştirmek üzere çalışan antrenörlerin vazgeçilmez yardımcıları olduğu söylenebilir.

Kaynakça

  • 1. Barris, S., and Button, C. (2008). A review of vision-based motion analysis in sport. Sports Med. 38, 1025–1043. doi: 10.2165/00007256-200838120-00006
  • 2. Bradley, P. S., Carling, C., Gomez Diaz, A., Hood, P., Barnes, C., Ade, J., . . . Mohr, M. (2013). Match performance and physical capacity of players in the top three competitive standards of English professional soccer. Hum Mov Sci, 32(4), 808-821. doi: 10.1016/j.humov.2013.06.002
  • 3. Buchheit, M., Gray, A., & Morin, J. B. (2015). Assessing stride variables and vertical stiffness with GPS-embedded accelerometers: preliminary insights for the monitoring of neuromuscular fatigue on the field. Journal of sports science & medicine, 14(4), 698.
  • 4. Cardinale, M., & Varley, M. C. (2017). Wearable training-monitoring technology: applications, challenges, and opportunities. International journal of sports physiology and performance, 12(s2), S2-55.
  • 5. Chambers, R., Gabbett, T. J., Cole, M. H., & Beard, A. (2015). The Use of Wearable Microsensors to Quantify Sport-Specific Movements. Sports Med, 45(7), 1065-1081. doi: 10.1007/s40279-015-0332-9
  • 6. Cormack, S.J., Mooney, M.G., Morgan, W. and McGuigan, M.R. (2013) Influence of neuromuscular fatigue on accelerometer load in elite Australian football players. International Journal of Sports Physiology and Performance 8, 373-378.
  • 7. Cummins, C., Orr, R., O'Connor, H., & West, C. (2013). Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sports medicine, 43(10), 1025-1042.
  • 8. Damian Anzaldo. Wearable Sports Technology – Market Landscape and Compute SoC Trends. ISOCC 2015 978-1-4673-9308-9/15/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7401796
  • 9. Davis, I. S., & Futrell, E. (2016). Gait retraining: altering the fingerprint of gait. Physical Medicine and Rehabilitation Clinics, 27(1), 339-355.
  • 10. Dodd, Dennis. [accessed September 10, 2016] NCAA denies ACC use of helmet cams, sideline communications. CBS Sports. May 23. 2014 http://www.cbssports.com/college-football/news/ jimbo-fishers-secret-weapon-for-champ-fsu-it-comes-from-australia/
  • 11. Duthie, G., Pyne, D., and Hooper, S. (2005). Time motion analysis of 2001 and 2002 super 12 rugby. J. Sports Sci. 23, 523–530. doi: 10.1080/02640410410001730188
  • 12. Emery, C. A., & Pasanen, K. (2019). Current trends in sport injury prevention. Best Practice & Research Clinical Rheumatology, 33(1), 3-15. https://doi.org/10.1016/j.berh.2019.02.009.
  • 13. Espinosa, H. G., Lee, J., & James, D. A. (2015). The inertial sensor: A base platform for wider adoption in sports science applications. Journal of Fitness Research, 4(1), 13-20.
  • 14. Gabbett, T. J. (2016). The training—injury prevention paradox: should athletes be training smarter and harder?. British journal of sports medicine, 50(5), 273-280.
  • 15. Gaudino, P., Gaudino, C., Alberti, G.and Minetti, A.E. (2013) Biome-chanics and predicted energetics of sprinting on sand: hints for soccer training. Journal of Science andMedicince in Sport 16, 271-275.
  • 16. Halson, S. L. (2014). Monitoring Training Load to Understand Fatigue in Athletes. Sports Medicine, 44(S2), 139-147. doi:10.1007/s40279-014-0253-z
  • 17. Hedley, M., Mackintosh, C., Shuttleworth, R., Humphrey, D., Sathyan, T., and Ho, P. (2010). Wireless tracking system for sports training indoors and outdoors. Proc. Engin. 2, 2999–3004. doi: 10.1016/j.proeng.2010.04.101
  • 18. Hollville, E., Couturier, A., Guilhem, G., & Rabita, G. (2015). MinimaxX player load as an index of the center of mass displacement? A validation study. In ISBS-Conference Proceedings Archive. https://isbs2015.sciencesconf.org/59234/document
  • 19. IFAB. 129th Annual General Meeting The Football Association. http://resources.fifa.com/mm/document/affederation/ifab/02/60/90/85/2015agm_minu tes_v10_neutral.pdf. Published 2015.
  • 20. Johnston, W., O'Reilly, M., Dolan, K., Reid, N., Coughlan, G., & Caulfield, B. (2016). Objective classification of dynamic balance using a single wearable sensor. In 4th International Congress on Sport Sciences Research and Technology Support 2016, Porto, Portugal, 7-9 November 2016 (pp. 15-24). SCITEPRESS–Science and Technology Publications.
  • 21. Lamkin, Paul. [accessed October 1, 2016] Wearbale tech market to be worth $34 billion by 2020. Forbes. Feb 17. 2016 http://www.forbes.com/sites/paullamkin/2016/02/17/wearable-tech-market-tobe-worth-34-billion-by-2020/#bcad10a3fe38
  • 22. Larsson, P. (2003). Global positioning system and sport-specific testing. Sports medicine, 33(15), 1093-1101.
  • 23. Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., and Voos, J. E. (2016). Wearable performance devices in sports medicine. Sports Health 8, 74–78. doi: 10.1177/1941738115616917
  • 24. Povoas, S. C., Seabra, A. F., Ascensao, A. A., Magalhaes, J., Soares, J. M., & Rebelo, A. N. (2012). Physical and physiological demands of elite team handball. J Strength Cond Res, 26(12), 3365-3375. doi: 10.1519/JSC.0b013e318248aeee
  • 25. Stevens, T. G. A., Ruiter, C. J., de van Niel, C., van de Rhee, R., Beek, P. J., and Savelsbergh, G. J. (2014). Measuring acceleration and deceleration in soccerspecific movement using a Local Position Measurement (LPM) system. Int. J. Sports Physiol. Perform. 9, 446–456. doi: 10.1123/ijspp.2013-0340
  • 26. Vanrenterghem, J., Nedergaard, N. J., Robinson, M. A., & Drust, B. (2017). Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways. Sports Medicine, 47(11), 2135-2142. doi:10.1007/s40279-017-0714-2
  • 27. Willy, R. W. (2018). Innovations and pitfalls in the use of wearable devices in the prevention and rehabilitation of running related injuries. Physical Therapy in Sport, 29, 26-33.

Wearable Technologies in Athletic Performance

Yıl 2021, Cilt: 23 Sayı: 1, 40 - 45, 15.05.2021

Öz

Nowadays, not only training methods but also wearable player tracking systems provided by the developing technology to the experts play an important role in the development of sportive performance. Tracking of external load as work done in high-level athletes and by monitoring the internal load, these systems that train at the desired exercise intensity usage has increased. In addition, wearable technology products, which control the acute and chronic training load and related with increased injury risk, have started to serve as an important feedback mechanism in recovery from injury. It has been used in motion analysis to determine the activity pattern recently and to collect data within the competition. Wearable technology products use different ways such as "Global Positioning System, Local Positioning System, Micro Electromechanical System, Inertial Measurement System" and it should be taken into account that different sensors collect data at different frequencies and process this data with variable algorithms. With the widespread introduction of different commercial products in the last 10 years, using wearable technology can be said to be indispensable helpers for trainers working to improve performance in sports.

Kaynakça

  • 1. Barris, S., and Button, C. (2008). A review of vision-based motion analysis in sport. Sports Med. 38, 1025–1043. doi: 10.2165/00007256-200838120-00006
  • 2. Bradley, P. S., Carling, C., Gomez Diaz, A., Hood, P., Barnes, C., Ade, J., . . . Mohr, M. (2013). Match performance and physical capacity of players in the top three competitive standards of English professional soccer. Hum Mov Sci, 32(4), 808-821. doi: 10.1016/j.humov.2013.06.002
  • 3. Buchheit, M., Gray, A., & Morin, J. B. (2015). Assessing stride variables and vertical stiffness with GPS-embedded accelerometers: preliminary insights for the monitoring of neuromuscular fatigue on the field. Journal of sports science & medicine, 14(4), 698.
  • 4. Cardinale, M., & Varley, M. C. (2017). Wearable training-monitoring technology: applications, challenges, and opportunities. International journal of sports physiology and performance, 12(s2), S2-55.
  • 5. Chambers, R., Gabbett, T. J., Cole, M. H., & Beard, A. (2015). The Use of Wearable Microsensors to Quantify Sport-Specific Movements. Sports Med, 45(7), 1065-1081. doi: 10.1007/s40279-015-0332-9
  • 6. Cormack, S.J., Mooney, M.G., Morgan, W. and McGuigan, M.R. (2013) Influence of neuromuscular fatigue on accelerometer load in elite Australian football players. International Journal of Sports Physiology and Performance 8, 373-378.
  • 7. Cummins, C., Orr, R., O'Connor, H., & West, C. (2013). Global positioning systems (GPS) and microtechnology sensors in team sports: a systematic review. Sports medicine, 43(10), 1025-1042.
  • 8. Damian Anzaldo. Wearable Sports Technology – Market Landscape and Compute SoC Trends. ISOCC 2015 978-1-4673-9308-9/15/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7401796
  • 9. Davis, I. S., & Futrell, E. (2016). Gait retraining: altering the fingerprint of gait. Physical Medicine and Rehabilitation Clinics, 27(1), 339-355.
  • 10. Dodd, Dennis. [accessed September 10, 2016] NCAA denies ACC use of helmet cams, sideline communications. CBS Sports. May 23. 2014 http://www.cbssports.com/college-football/news/ jimbo-fishers-secret-weapon-for-champ-fsu-it-comes-from-australia/
  • 11. Duthie, G., Pyne, D., and Hooper, S. (2005). Time motion analysis of 2001 and 2002 super 12 rugby. J. Sports Sci. 23, 523–530. doi: 10.1080/02640410410001730188
  • 12. Emery, C. A., & Pasanen, K. (2019). Current trends in sport injury prevention. Best Practice & Research Clinical Rheumatology, 33(1), 3-15. https://doi.org/10.1016/j.berh.2019.02.009.
  • 13. Espinosa, H. G., Lee, J., & James, D. A. (2015). The inertial sensor: A base platform for wider adoption in sports science applications. Journal of Fitness Research, 4(1), 13-20.
  • 14. Gabbett, T. J. (2016). The training—injury prevention paradox: should athletes be training smarter and harder?. British journal of sports medicine, 50(5), 273-280.
  • 15. Gaudino, P., Gaudino, C., Alberti, G.and Minetti, A.E. (2013) Biome-chanics and predicted energetics of sprinting on sand: hints for soccer training. Journal of Science andMedicince in Sport 16, 271-275.
  • 16. Halson, S. L. (2014). Monitoring Training Load to Understand Fatigue in Athletes. Sports Medicine, 44(S2), 139-147. doi:10.1007/s40279-014-0253-z
  • 17. Hedley, M., Mackintosh, C., Shuttleworth, R., Humphrey, D., Sathyan, T., and Ho, P. (2010). Wireless tracking system for sports training indoors and outdoors. Proc. Engin. 2, 2999–3004. doi: 10.1016/j.proeng.2010.04.101
  • 18. Hollville, E., Couturier, A., Guilhem, G., & Rabita, G. (2015). MinimaxX player load as an index of the center of mass displacement? A validation study. In ISBS-Conference Proceedings Archive. https://isbs2015.sciencesconf.org/59234/document
  • 19. IFAB. 129th Annual General Meeting The Football Association. http://resources.fifa.com/mm/document/affederation/ifab/02/60/90/85/2015agm_minu tes_v10_neutral.pdf. Published 2015.
  • 20. Johnston, W., O'Reilly, M., Dolan, K., Reid, N., Coughlan, G., & Caulfield, B. (2016). Objective classification of dynamic balance using a single wearable sensor. In 4th International Congress on Sport Sciences Research and Technology Support 2016, Porto, Portugal, 7-9 November 2016 (pp. 15-24). SCITEPRESS–Science and Technology Publications.
  • 21. Lamkin, Paul. [accessed October 1, 2016] Wearbale tech market to be worth $34 billion by 2020. Forbes. Feb 17. 2016 http://www.forbes.com/sites/paullamkin/2016/02/17/wearable-tech-market-tobe-worth-34-billion-by-2020/#bcad10a3fe38
  • 22. Larsson, P. (2003). Global positioning system and sport-specific testing. Sports medicine, 33(15), 1093-1101.
  • 23. Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., and Voos, J. E. (2016). Wearable performance devices in sports medicine. Sports Health 8, 74–78. doi: 10.1177/1941738115616917
  • 24. Povoas, S. C., Seabra, A. F., Ascensao, A. A., Magalhaes, J., Soares, J. M., & Rebelo, A. N. (2012). Physical and physiological demands of elite team handball. J Strength Cond Res, 26(12), 3365-3375. doi: 10.1519/JSC.0b013e318248aeee
  • 25. Stevens, T. G. A., Ruiter, C. J., de van Niel, C., van de Rhee, R., Beek, P. J., and Savelsbergh, G. J. (2014). Measuring acceleration and deceleration in soccerspecific movement using a Local Position Measurement (LPM) system. Int. J. Sports Physiol. Perform. 9, 446–456. doi: 10.1123/ijspp.2013-0340
  • 26. Vanrenterghem, J., Nedergaard, N. J., Robinson, M. A., & Drust, B. (2017). Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways. Sports Medicine, 47(11), 2135-2142. doi:10.1007/s40279-017-0714-2
  • 27. Willy, R. W. (2018). Innovations and pitfalls in the use of wearable devices in the prevention and rehabilitation of running related injuries. Physical Therapy in Sport, 29, 26-33.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Spor Hekimliği
Bölüm Makeleler
Yazarlar

Tolga Şahin 0000-0001-9594-4466

Yayımlanma Tarihi 15 Mayıs 2021
Kabul Tarihi 4 Mayıs 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 23 Sayı: 1

Kaynak Göster

APA Şahin, T. (2021). Wearable Technologies in Athletic Performance. Turkish Journal of Sport and Exercise, 23(1), 40-45.
AMA Şahin T. Wearable Technologies in Athletic Performance. Turk J Sport Exe. Mayıs 2021;23(1):40-45.
Chicago Şahin, Tolga. “Wearable Technologies in Athletic Performance”. Turkish Journal of Sport and Exercise 23, sy. 1 (Mayıs 2021): 40-45.
EndNote Şahin T (01 Mayıs 2021) Wearable Technologies in Athletic Performance. Turkish Journal of Sport and Exercise 23 1 40–45.
IEEE T. Şahin, “Wearable Technologies in Athletic Performance”, Turk J Sport Exe, c. 23, sy. 1, ss. 40–45, 2021.
ISNAD Şahin, Tolga. “Wearable Technologies in Athletic Performance”. Turkish Journal of Sport and Exercise 23/1 (Mayıs 2021), 40-45.
JAMA Şahin T. Wearable Technologies in Athletic Performance. Turk J Sport Exe. 2021;23:40–45.
MLA Şahin, Tolga. “Wearable Technologies in Athletic Performance”. Turkish Journal of Sport and Exercise, c. 23, sy. 1, 2021, ss. 40-45.
Vancouver Şahin T. Wearable Technologies in Athletic Performance. Turk J Sport Exe. 2021;23(1):40-5.
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