APPLICATION OF MODERN TECHNOLOGIES IN THE EDUCATIONAL AND TRAINING PROCESS OF ROWERS IN KAYKADS AND CANOES
DOI:
https://doi.org/10.31891/pcs.2023.2.17Keywords:
rowing, Garmin, tracking device, physical training, stage of basic trainingAbstract
The analysis of scientific-methodical and special literature (results of monitoring Internet sources) on the problems of physical training of rowers at the stage of basic training shows that the problem of using modern technologies during the educational and training process remains relevant at the moment. The purpose of this work is the analysis of available innovative technologies in rowing, which are used in the training of athletes, and the prospects of their application in practice.
The article examines the modern technologies of training kayakers, which are used in the training of future athletes and the problems of training rowers at the stage of basic training, as well as innovations that can be used in training. Having access to technology that can effectively monitor training and rowing competitions on the water is essential to obtain the necessary information and diagnose the effectiveness of the training process. Coaches need a quantification of workload to ensure an athlete's progress and balance between training and recovery. Innovative devices, such as smart watches Garmin, improve the controllability of the training process, as they allow you to diagnose the initial level of training, make an individual training program, monitor the performance and physiological functions of the athlete during physical activity in real time and analyze data from different segments of training, for example: frequency heart rate, blood oxygen saturation, energy expenditure during training simultaneously with external load data (speed, distance, pace). Also, the advantage is the relatively low price of smart watches compared to other special measuring devices, which makes them a practical and affordable device for holistic recording of training. The use of innovative technologies contributes to the integration of Ukrainian rowers into the European rowing space.
References
Kashuba V. A. Innovative technologies in modern sports. Dnipropetrovsk sports bulletin scientific and practical journal of the Dnipropetrovsk State Institute of Physical Culture and Sports. Dnipropetrovsk, 2016. No. 1. P. 46 - 57.
Platonov, V.M. Periodization of sports training. General theory and its practical application / V.M. Platonov - Kyiv: Olympic Literature, 2013. - 624 p. Schnabel, G. Training theory – training science / G. Schnabel, H.D. Harre, J, Krug. – Aachen: publishing company Meyer, 2008. – 658 p.
Mishchenko V. S. Reactive properties of the cardiorespiratory system as a reflection of adaptation to intense physical training in sports: monograph / V. S. Mishchenko, E. M. Lysenko, V. E. Vinogradov. - K.: Scientific World, 2007. - 351 p.
Bohuslavska, V., Furman, Y., Pityn, M., Galan, Y., Nakonechnyi, I. (2017). Improvement of the physical preparedness of canoe oarsmen by applying different modes of training loads. Journal of Physical Education and Sport, 17(2), 797-803. doi:10.7752/jpes.2017.02121
Platonov, V.M., Bulatova, M.M. Physical training of an athlete: Training manual - K.: Olympic literature., 1995. - 320 p.
Michael, J.S. Metabolic demands of kayaking: a review / J.C. Michael, K.B. Rooney, R. Smith // Journal of Sports Science and Medicine. – 2008. – № 7. – P. 1-7.
Baggish, A.L.; Wang, F.; Weiner, R.B.; Elinoff, J.M.; Tournoux, F.; Boland, A.; Picard, M.H.; Hutter, A.M., Jr.; Wood, M.J.
Training‐specific changes in cardiac structure and function: A prospective and longitudinal assessment of competitive athletes. J. Appl. Physiol. 2008, 104, 1121–1128.
Smith TB, Hopkins WG. Measures of rowing performance. Sports Med 2012; 42:343–358.
Worsey MT, Espinosa HG, Shepherd JB, et al. A systematic review of performance analysis in rowing using inertial sensors. Electronics 2019; 8:1304
Avvenuti M, Cesarini D, Cimino MG. MARS, a multi-agent system for assessing rowers’ coordination via motion-based stigmergy. Sensors 2013; 13:12218–12243.
Dubus G. Evaluation of four models for the sonification of elite rowing. J Multimodal User Interfaces 2012; 5:143–156.
Tessendorf B, Gravenhorst F, Arnrich B, et al. An IMU-based sensor network to continuously monitor rowing technique on the water. In: 2011 seventh international conference on intelligent sensors, sensor networks and information processing, Adelaide, Australia, 6–9 Decemebr 2011, pp.253–258. New York, NY: IEEE.
Groh BH, Reinfelder SJ, Streicher MN, et al. Movement prediction in rowing using a dynamic time warping based stroke detection. In: 2014 IEEE Ninth International conference on intelligent sensors, sensor networks and information processing (ISSNIP), Singapore, 21–24 April 2014, pp.1–6. New York, NY: IEEE.
Ruffaldi E, Peppoloni L, Filippeschi A. Sensor fusion for complex articulated body tracking applied in rowing. Proc IMechE, Part P: J Sports Engineering and Technology 2015; 229(2): 92–102.
Cesarini D, Schaffert N, Manganiello C, et al. AccrowLive: A multiplatform telemetry and sonification solution for rowing. Procedia Eng 2014; 72:273–278.
Cloud B, Tarien B, Liu A, et al. Adaptive smartphone-based sensor fusion for estimating competitive rowing kinematic metrics. PLoS One 2019; 14:e0225690–e0225690.
Lintmeijer LL, Hofmijster MJ, Schulte Fischedick GA, et al. Improved determination of mechanical power output in rowing: Experimental results. J Sports Sci 2018; 36:2138–2146.
Vogler A, Lindg A, Rice A. Accuracy and reliability of Minimaxx GPS technology in rowing. In: Proceedings of the 13th Annual congress of the European college of sport science, Estoril, 9–12 July 2008, pp.9–12.
Smith TB, Hopkins WG. Measures of rowing performance. Sports Med 2012; 42:343–358.
Nascimento, L.M.S.d.; Bonfati, L.V.; Freitas, M.L.B.; Mendes Junior, J.J.A.; Siqueira, H.V.; Stevan, S.L. Sensors and systems for physical rehabilitation and health monitoring—A review. Sensors 2020, 20, 4063.
Hohmuth, R.; Schwensow, D.; Malberg, H.; Schmidt, M. A Wireless Rowing Measurement System for Improving the Rowing Performance of Athletes. Sensors 2023, 23, 1060. https://doi.org/10.3390/s23031060
Watts SP, цBinnie MJ, Goods PS, Doyle MM, Hewlett J, Peeling P. Garmin wearable device offers reliable alternative for on-water stroke rate and velocity measurement in rowing. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology. 2022;0(0). doi:10.1177/17543371221099364
Sharma, S.; Drezner, J.A.; Baggish, A.; Papadakis, M.; Wilson, M.G.; Prutkin, J.M.; La Gerche, A.; Ackerman, M.J.; Borjesson, M.; Salerno, J.C. International recommendations for electrocardiographic interpretation in athletes. J. Am. Coll. Cardiol. 2017, 69, 1057–1075.
Kim, Y.-J., Cho, J.-H., and Park, Y.-J. (2020). Leisure sports participants' engagement in preventive health behaviors and their experience of constraints on performing leisure activities during the COVID-19 pandemic. Front. Psychol. 11:589708. doi: 10.3389/fpsyg.2020.589708
Pedersen, S., Johansen, D., Casolo, A., Randers, M. B., Sagelv, E. H., Welde, B., et al. (2021). Maximal strength, sprint, and jump performance in high-level female football players are maintained with a customized training program during the COVID-19 lockdown. Front. Physiol. 12:623885. doi: 10.3389/fphys.2021.623885
Heidbüchel, H.; Anné, W.; Willems, R.; Adriaenssens, B.; Van de Werf, F.; Ector, H. Endurance sports is a risk factor for atrial fibrillation after ablation for atrial flutter. Int. J. Cardiol. 2006, 107, 67–72.
Shakhlina L. Ya-G. Medical and biological basis of women's sports training / L. Ya-G. Shakhlina. - K.: Naukova dumka, 2001. - 326 p.
Lucía A, Hoyos J, Chicharro JL. Preferred pedalling cadence in professional cycling. Med Sci Sports Exerc 2001; 33:1361–1366.
Hofmijster MJ, Landman EH, Smith RM, et al. Effect of stroke rate on the distribution of net mechanical power in rowing. J Sports Sci 2007; 25(4): 403–411.
Foss, Hallén J. The most economical cadence increases with increasing workload. Eur J Appl Physiol 2004; 92:443–451.
Grazzi G, Alfieri N, Borsetto C, et al. The power output/heart rate relationship in cycling: test standardization and repeatability. Med Sci Sports Exerc 1999; 31:1478–1483.
Nimmerichter A, Schnitzer L, Prinz B, et al. Validity and reliability of the Garmin vector power meter in laboratory and field cycling. Int J Sports Med 2017; 38:439–446.
Mooney R, Quinlan LR, Corley G, et al. Evaluation of the Finis swimsense® and the Garmin Swim™ activity monitors for swimming performance and stroke kinematics analysis. PLoS One 2017; 12:e0170902.
Hovsepian D, Meardon SA, Kernozek TW. Consistency and agreement of two devices for running speed. Athl Train Sports Health Care 2014; 6:67–72.
Gløersen Ø, Kocbach J, Gilgien M. Tracking performance in endurance racing sports: Evaluation of the accuracy offered by three commercial GNSS receivers aimed at the sports market. Front Physiol 2018; 9:1425.
Fernandes RJ, Marinho DA, Barbosa TM, Vilas-Boas JP. Is time limit at the minimum swimming velocity of VO2 max influenced by stroking parameters? Percept Mot Skills. 2006;103(1):67-75. doi: 10.2466/pms.103.1.67-75. PMID 17037644.
Shimoyama Y, Wada T, Akaishi Y. Effects of endurance training on the relationship between 1500- m swimming performance and physiological responses: A case study. J Sci Med Sport. 2017; 20:27-8. doi: 10.1016/j.jsams.2017.09.245.
Kraft GL, Roberts RA. Validation of the Garmin Forerunner 920XT fitness watch VO2peak test. Int J Innov Educ Res. 2017;5(02):61-7
