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Stanislav Kovalenko
Denis Nechyporenko
Olena Lysenko


The study objective was to determined the influence of biological feedback on anaerobic
working capacity in the schoolchildren aged 11-12.
We determined the power of mechanical work of the whole test, the power of the
mechanical work during support repulsion phase, jump frequency, the correlation of support
and unsupported phases during the performance of the modified 20-second jump test with and
without biological (visual and audible) feedback (BFB) in 30 boys and 30 girls aged 11-12.
The height of each jump was calculated by the formula: h=tf*g*8-1, where tf – flight
phase in seconds, g – acceleration of gravity (9.806665 м·s-2). Based on this indicator, body
weight, the duration of support phase and jump cycle, we calculated the power of mechanical
work of the whole body (P), the power of mechanical work during repulsion support phase (Pr),
jump frequency (Fr), the correlation of support and unsupported phases (R). To assess the
dynamics of the studied indicators during the test, we counted their changes at five-second
intervals from 5 to 10, from 10 to 15 and from 15 to 20 seconds with respect to the segment
from the start of the test up to its fifth second.
The girls aged 11-12 had higher level of working capacity than boys in the modified 20-
second jump test. The application of biological feedback led to the improvement of results in
20-second anaerobic jump test in the boys and had not any influence on the indicators in the
girls aged 11-12. The application of biological feedback increased the results in 20-second
anaerobic jump test and improved the dynamics of working capacity during its performance in
the children aged 11-12 with psychological focus on achieving success. Such influence was low
in the schoolchildren with psychological focus on avoiding failure.
The application of biological feedback allows improving the process of training
anaerobic opportunities of the schoolchildren aged 11-12 considering their gender and
individual psychological features.

Article Details

Author Biographies

Stanislav Kovalenko, Cherkasy National University named after Bohdan Khmelnytskyi

Department of anatomy, physiology & physical rehabilitation, professor,
Cherkasy Bohdan Khmelnytsky National University,

Denis Nechyporenko, Cherkasy National University named after Bohdan Khmelnytskyi

Department of sporting disciplines, asistent,
Cherkasy Bohdan Khmelnytsky National University,

Olena Lysenko, Kiev Boris Grinchenko University

Department of physical rehabilitation and biokinesiology, professor


Armstrong, N., Barker, A.R., McManus, A.M. (2015). Muscle metabolism changes with age and maturation:

How do they relate to youth sport performance? British Journal of Sports Medicine, 49(13), 860-864.


Benítez-Porres, J., Alvero-Cruz, J.R., Carrillo de Albornoz, M., Correas-Gómez, L., Barrera-Expósito, J.,

Dorado-Guzmán, M., Carnero, E.A. (2016). The Influence of 2-Year Changes in Physical Activity, Maturation,

and Nutrition on Adiposity in Adolescent Youth. PLOS ONE, 11(9), e0162395.


Bosco, C., Luhtanen, P., Komi, P.V. (1983). A simple method for measurement of mechanical power in

jumping. European Journal of Applied Physiology and Occupational Physiology, 50(2), 273-282.


Cheung, E., Yu, K., Kwan, R., Ng, C., Chau, R., & Cheing, G. (2019). Effect of EMG-biofeedback roboticassisted body weight supported treadmill training on walking ability and cardiopulmonary function on people

with subacute spinal cord injuries - a randomized controlled trial. BMC neurology, 19(1), 140.

Crevenna, R., Krammer, C., Keilani, M. (2015). Feasibility and acceptance of biofeedback-assisted mental

training in an Austrian elementary school: a pilot study. Wiener Medizinische Wochenschrift., 166(5-6), 179-


Crowell, H.P., Milner, C.E., Hamill, J., Davis, I.S. (2010). Reducing Impact Loading During Running With

the Use of Real-Time Visual Feedback. Journal of Orthopaedic & Sports Physical Therapy, 40(4), 206-213.


Engel, F., Härtel, S., Strahler, J., Wagner, M.O., Bös, K., Sperlich, B.. (2014). Hormonal, Metabolic, and

Cardiorespiratory Responses of Young and Adult Athletes to a Single Session of High-Intensity Cycle

Exercise. Pediatric Exercise Science, 26(4), 485-494. https://doi:10.1123/pes.2013-0152

Friedrich, E.V., Sivanathan, A., Lim, T., Suttie, N., Louchart, S., Pillen, S., Pineda, J.A. (2015). An Effective

Neurofeedback Intervention to Improve Social Interactions in Children with Autism Spectrum Disorder.

Journal of Autism and Developmental Disorders, 45(12), 4084-4100. https://doi:10.1007/s10803-015-2523-5

Glantz S.A. Primer of biostatistics (seven editionsth ed.). McGraw hill. 2012. 320 p.

Hasegawa, N., Takeda, K., Mancini, M., King, L. A., Horak, F. B., & Asaka, T. (2020). Differential effects of

visual versus auditory biofeedback training for voluntary postural sway. PloS one, 15(12), e0244583.

Heckhausen, H. (2003). Motivation and action. SPb: Smyisl. 2003. 860 p.

Ilin, E.N. (2000). Motivation and motives. SPb: Piter. 2000. 512 p.

Ivashchenko, O.V., Yermakova, T.S., Cieslicka, M., Muszkieta, R. (2015) Discriminant analysis as method of

pedagogic control of 9-11 forms girls’ functional and motor fitness. Journal of Physical Education and Sport,

(1), 576–581. https://doi:10.7752/jpes.2015.03086

Jiménez Morgan, S., & Molina Mora, J. A. (2017). Effect of Heart Rate Variability Biofeedback on Sport

Performance, a Systematic Review. Applied psychophysiology and biofeedback, 42(3), 235–245.

Kovalenko, S., Nechyporenko, D. (2014). Application of biological feedback for estimation of anaerobic

performance in jumping test. Physical Education of Students. 2014; 18(5): 20-24.


Lepley, A.S., Gribble, P.A., Pietrosimone, B.G. (2012). Effects of Electromyographic Biofeedback on

Quadriceps Strength: A Systematic Review. Journal of Strength and Conditioning Research, 26(3), 873-882.


MacIntosh, A., Desailly, E., Vignais, N., Vigneron, V., & Biddiss, E. (2020). A biofeedback-enhanced

therapeutic exercise video game intervention for young people with cerebral palsy: A randomized single-case

experimental design feasibility study. PloS one, 15(6), e0234767.

Mullineaux, D.R., Underwood, S.M., Shapiro, R., Hall, J.W. (2012). Real-time biomechanical biofeedback

effects on top-level rifle shooters. Applied Ergonomics, 43(1), 109-114.


Onate, J.A., Guskiewicz, K.M., Sullivan, R.J. (2001). Augmented Feedback Reduces Jump Landing Forces.

Journal of Orthopaedic & Sports Physical Therapy, 31(9), 511-517. https://doi:10.2519/jospt.2001.31.9.511

Podrigalo, L., Iermakov, S., Rovnaya, O., Zukow, W., Nosko, M. (2016). Peculiar features between the studied

indicators of the dynamic and interconnections of mental workability of students. Journal of Physical

Education and Sport, 16(04), 1211–1218. https://doi:10.7752/jpes.2016.04193

Prinsloo, G.E., Rauch, H.L., Derman, W.E. (2014). A Brief Review and Clinical Application of Heart Rate

Variability Biofeedback in Sports, Exercise, and Rehabilitation Medicine. The Physician and Sportsmedicine,

(2), 88-99. https://doi:10.3810/psm.2014.05.2061

Szakály, Z., Bognár, J., Barthalos, I., Ács, P., Ihász, F., Fügedi, B. (2016). Specific heart rate values of 10-12-

year-old physical education students during physical activity. Journal of Physical Education and Sport, 03,

–805. https://doi:10.7752/jpes.2016.03127

Tate, J.J., Milner, C.E. (2010). Real-Time Kinematic, Temporospatial, and Kinetic Biofeedback During Gait

Retraining in Patients: A Systematic Review. Physical Therapy, 90(8), 1123-1134.


Tirosh, O., Cambell, A., Begg, R.K., Sparrow, W.A. (2012). Biofeedback Training Effects on Minimum Toe

Clearance Variability During Treadmill Walking. Annals of Biomedical Engineering, 41(8), 1661-1669.


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