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Effect of a Repeated Sprint Ability test on the muscle contractile properties in elite futsal players


The aim of this study was to evaluate the effect of a repeated sprint ability (RSA) test on the contractile properties of the muscles in elite futsal players. A total of 20 elite players completed the RSA test (7 × 30 m), and the contractile response from the rectus femoris (RF) and biceps femoris (BF) of both legs were analysed pre and post through tensiomyography. There was a significant increment in 30-m times from the third sprint onwards (p < 0.05). The percent decrement in sprint ability (RSADEC) with respect to the first sprint was significantly higher in the last sprint. The players did not show evidence of lateral asymmetry in any of the muscle groups analysed after the RSA test (p > 0.05). Following the RSA test there was a significant reduction in the delay time (Td) in RF, a significant decrement in half-relaxation time (Tr) in the RF, and a significant reduction in sustain time (Ts) in the RF and BF of both legs. The maximum radial displacement of the muscle belly (Dm) increased (1.6 mm; effect size = 0.75; p < 0.05) in the RF after the RSA test, indicating reduced muscle stiffness and the ability to generate strength rapidly. The decrement in performance during the RSA test was significantly correlated with changes in contraction time (Tc) in RF and BF, Td in BF, and Dm in RF (p < 0.05). The RSA test generated alterations in the contractile properties of the RF and BF in elite players. However, futsal players did not present asymmetries in any muscular parameters. The baseline contractile muscle parameters could be an important factor related to performance of players during repeated high-intensity actions.


Futsal is a sport of intermittent efforts, with aerobic and dynamic components, that requires a player to be at 85% of their maximum heart rate or above during most of the playing time1,2,3,4,5. Although the physical, physiological, technical, and tactical demands have not been fully studied, researchers agree that the ability to develop and maintain high-intensity efforts and sprint performance over time has a direct influence on the match performance1,2,4,5,6. Consequently, the use of repeated sprint ability test (RSA) is recommended to evaluate the ability of athletes to cope with the demands of competition7,8. It has been shown that the performance of the athlete in a RSA test offers relevant information on the explosive ability of footballers8.

The RSA test is recognized as a valid method to reproduce performance decrement and fatigue in soccer players9. Fatigue of the lower-limb muscles appears to be an important factor elevating the risk of injury10,11. This suggests the behaviour of the lower-limb muscles after fatigue-inducing actions may be an effective way to identify factors related to injury risk12. Some of these factors include muscle stiffness, contraction speed, or displacement of the muscle belly13. These mechanical and contractile variables of the muscle can be determined by Tensiomyography (TMG), via the application of an electrical stimulus14.

The TMG technique has been reported to have high reproducibility and reliability to measure values like contraction time (Tc), half-relaxation time (Tr), delay time (Td), sustain time (Ts), and maximum radial displacement of the muscle belly (Dm) for the medial vastus, lateral vastus, femoris rectus, and femoris biceps muscles13,15,16,17. Therefore, TMG has been identified as a reliable method for the identification of muscular lateral asymmetries between dominant and non-dominant limbs in the lower-limb muscles18, which is related to the risk of injury and the stretch-shortening cycle efficacy, especially in sports in which limb dominance plays a factor19,20,21. Also, TMG has been described as a reliable method for the identification of differences in muscle responses after completing fatiguing efforts like the RSA test21.

Thus, the aim of this study was to evaluate the effect of a RSA test on the contractile properties of the muscles in elite futsal players. It was hypothesized that lower-limb muscle activation times (Tc, Td, and Ts) would be correlated with better results in the RSA test. We also hypothesised that elite futsal players would not show muscle contractile asymmetries between the dominant and non-dominant leg22,23. The results of this research will improve understanding of the acute effects of a repeated sprint test on the muscular response of elite futsal players.



The sample was composed of two teams from the Spanish National Futsal League (LNFS). The results for a total of 20 players (25.5 ± 6.1 years; 176.9 ± 5.2 cm; 74.9 ± 5.2 kg; 13.1 ± 2.4% body fat) were included in this study. Contact with the clubs was carried out through the LNFS, with whom an agreement was signed for the conduct of this study. The study protocol was approved by the Local Ethics Committee (Hospital of Toledo), and was conducted in accordance with the Code of Ethics of the World Medical Association (Declaration of Helsinki). All of the participants signed an informed consent form in which the test procedures and possible risks were explained. In this document, the players also indicated their dominant leg.

Experimental design

During the competitive period in the break for national team competitions, every team arranged 3 days with the researchers within the given period to allow the players to perform the proposed tests. On the first day, players performed an initial pilot test to become familiar with the tests included in the study protocol. During the second day, players were not allowed to perform any exhaustive activity to guarantee 24 h of rest before testing. Finally, all tests were carried out during the third day. At the beginning of the testing session, before the warm-up, each player attached a heart rate monitor (Firstbeat Technologies Ltd., Finland).

Experimental protocol

Body composition

Both fat mass (g and %) and lean mass (g) of both legs was stimated using bioelectrical impedance (Tanita BC418-MA, Tanita Corp., Tokyo, Japan). The SECA scale (model 711; SECA GmbH & Co, KG, Hamburg, Germany) was used to measure the height of the participants.

Tensiomyography (TMG)

Muscle response and lateral symmetry of both the rectus femoris (RF) and biceps femoris (BF) were assessed using tensiomyography (TMG-100 System electrostimulator, TMG-BMC d.o.o., Ljubljana, Slovenia). These muscles were selected because they are the most common muscles assessed in studies targeting soccer players due to their role in actions like jumping and kicking (BF) or in running and knee stabilisation (RF)13. This assessment provided the following information: the maximum radial displacement of the muscle belly (Dm), contraction time (Tc), delay time (Td), sustain time (Ts), and half-relaxation time (Tr) of these muscles under basal conditions (Fig. 1). These measurements were repeated in the same room immediately after (>1 min) the RSA test. The duration of the stimulus was 1 ms at several intensities (25, 50, 75 and 100 mA), following the protocol carried out in previous studies18. The properties of the rectus femoris were measured with the participant in a supine position, and with the knees flexed at 120 degrees with the help of a triangular foam cushion. The properties of the BF were measured with the participant in the prone position, and with the knee flexed at 5 degrees with the help of a foam cushion16.

Figure 1

An example of how the TMG parameters were calculated (Carrasco et al.15). Td: delay time; Tc: contraction time; Ts: sustain time; Dm: maximum radial displacement of muscle belly; Tr: half-relaxation time.

The muscle response was measured by placing a digital Dc-Dc transducer Trans-Tek® (GK 40, Panoptik d.o.o., Ljubliana, Slovenia) perpendicular to the muscle belly, along with two self-adhesive electrodes (TMG electrodes, TMG-BMC d.o.o. Ljubljana, Slovenia) placed equidistant at a distance of 50 to 60 mm from the digital transducer, since the distance between electrodes can vary the results24, the positions of the sensor and the electrodes were marked with a permanent marker to ensure that all measurements were performed at the same point and between 50 to 60 mm from the digital transducer. All measurements were carried out by the same expert technician. Krizaj et al.25 reported a low error level (0.5 to 2.0%) and a high reproducibility (ICC: 0.85–0.98) for the five parameters measured in this study (ICC: Dm = 0.98; Tc = 0.97; Td = 0.94; Ts = 0.89; Tr = 0.86).

Repeated sprint ability (RSA) test

The RSA test included seven repeated sprints of 30 m, with 20 s of active recovery between each sprint. Three pairs of photocells (Witty, Microgate, Bolzano, Italy) placed at 0, 5 and 30 m were used to assess performance in this test. This test was performed according to the methodology proposed in previous studies26. The best sprint time (RSABEST), the mean time (RSAMEAN), the total time (RSATT), the percent sprint decrement (RSADEC = ((total sprint time − best time*7)/best time  7)  100), and the percent difference from best and worst sprint during the RSA test (RSACHANGE = ((worst time − best time)/best time)  100) were also calculated27,28. Before the RSA test, participants carried out a standardised warm-up consisting of 5 minutes of running, 5 minutes of joint mobility, and three 30-m sprints of increasing intensity. The warm-up concluded with two 30-m sprints at maximum intensity separated by 4 minutes of active recovery (participants had to walk during the resting time). These two previous sprints performed in the warm-up were used as a control measure to guarantee players performed the RSA test at maximum speed. If the time of the first sprint of the RSA test was higher (>5%) than the best individual sprint performed prior to the beginning of the test, the RSA test was not considered valid and the player had to repeat the test after 5 min of recovery.

Statistical analyses

SPSS 21.0 was used for the data analysis. A descriptive analysis (mean ± SD) of the tensiomyography test results and the performance parameters of the RSA test was performed. The Kolmogórov–Smirnov test showed a normal distribution of the variables. Two-way analysis of variance (ANOVA) was used to analyse the difference in the tensiomyography variables as a function of the time (pre and post) and dominance (dominant leg and non-dominant leg). The exercise-induced change in the TMG variables (percentage of change of the post with respect to the baseline tensiomyographic values) was also calculated. In addition, the confidence interval and the effect size (ES; Cohen’s d) of the pre to post differences for all variables (CI of 95%) was calculated. The ES was evaluated with the following criteria: 0 to 0.2 = trivial, 0.2 to 0.5 = small, 0.5 to 0.8 = moderate, and >0.8 = large29. The RSA data were analysed by one-way repeated measures ANOVA. A Bonferroni post-hoc test was used to study pairwise differences. A linear correlation (Pearson’s r) was calculated between the results of the RSA test and the tensiomyography variables derived from the dominant leg of the futsal players. Correlations were evaluated with the following criteria: 0 to 0.1 = trivial, 0.1 to 0.3 = small, 0.3 to 0.5 = medium, 0.5 to 0.7 = large, 0.7 to 0.9 = very large and 0.9 to 1.0 = nearly perfect30. The level of significance was established at p < 0.05.


The players had a RSATT of 29.9 ± 2.5 s, a RSAMEAN of 4.4 ± 0.1 s, and a RSABEST of 4.2 ± 0.2 s. There were no significant differences between the times of the seven sprints during the first 5 m of each sprint (Fig. 2a; p > 0.05). However, compared with the first sprint, there was a significant increment in 30-m times from the third sprint onwards (p < 0.05; Fig. 2b). The percent decrement in sprint ability (RSADEC) with respect to the first sprint was significantly higher in the last sprint (p < 0.05; Fig. 2c). There was not a significant decrease in performance in the seventh sprint (6.3 ± 3.3%) compared to the sixth sprint (5.9 ± 2.5%) for RSACHANGE (Fig. 2d).

Figure 2

5-m (A) and 30-m (B) time and performance deterioration profile; RSADEC (C) and RSACHANGE (D) for the RSA test (7 × 30 m). RSACHANGE: ((worst time − best time)/best time) * 100). RSADEC: ((total sprint time − best time * 7)/best time * 7) * 100). *p < 0.05; p < 0.01; ***p < 0.0015; significantly different from the 1st sprint for 30-m times; and significantly different from the 7th sprint for RSADEC and RSACHANGE (n = 20). Data are presented as mean and SD.

In Table 1, the results of the tensiomyography for the RF and the BF (before and after the RSA test for both the dominant (D) and non-dominant (ND) leg of the futsal players) are presented. The results reveal an absence of significant differences between the dominant and non-dominant leg in the variables analysed (p > 0.05). However, following the RSA test, there was a significant reduction in the Td (D: 1.1 ms [CI: 0.02–2.3]; ES: 0.62; ND: 1.3 ms [CI: 0.2–2.4]; ES: 0.77), Ts (D: 53 ms [CI: 23.5–82.4]; ES: 1.22; ND: 45.4 ms [CI: 15.9–74.8]; ES: 0.96), Tr (D: 27.5 ms [CI: 3.6–51.5]; ES: 0.76; ND: 32.2 ms [CI: 8.3–56.1]; ES: 0.84) in the RF and the Ts (D: 58.9 ms [CI: 26.2–91.6]; ES: 1.90; ND: 53.5 ms [CI: 20.8–86.2]; ES: 0.83) in the BF in both the dominant and non-dominant legs. On the other hand, the Dm of the RF showed higher values after the RSA test in the dominant leg (1.6 mm [CI: 0.03–3.1]; ES: 0.75; p < 0.05).

Table 1 Results of the tensiomyography before (pre) and after (post) the RSA test for both the dominant and non-dominant leg.

The correlational analysis did not reveal any significant relation between the tensiomyography parameters in the RF prior to the RSA test and the results obtained in the test (p > 0.05). However, the Ts values obtained in the BF (Table 2) showed a positive relation with the best sprint time achieved during the RSA test (r = 0.476) and the mean sprint time (r = 0.528). There was a significant correlation between Td baseline values in BF and RSADEC (r = 0.487) and RSACHANGE (r = 0.591). Regarding the performance decrement, the RSADEC and the RSACHANGE were significantly correlated with the percent change of the Tc (r = −0.498) and Dm (r = −0.485), respectively, from pre to post the RSA test in the RF (Table 3). Finally, in the BF, the percent changes in the Td and Tc values from pre to post the RSA test were related with the deterioration in the sprint times during the test, independent of the formula used (Table 3; p < 0.05).

Table 2 Correlation coefficients for the baseline values of the tensiomyography in the BF and the total time (RSATT), the best sprint time (RSABEST), the mean time (RSAMEAN), the percent sprint decrement (RSADEC), and the percent difference from best to worst sprint (RSACHANGE) during the RSA test.
Table 3 Correlation coefficients between the RSADEC and RSACHANGE derived from the RSA test and the percentage change in the TMG parameters from pre to post the RSA test for the RF and BF.


The results of this study revealed that the RSA test causes an acute alteration in the mechanical muscle parameters in the RF and the BF. This alteration is characterised by a change in the excitability of the RF in both legs (decrease of the Td, Tc, Ts and Tr), whilst its effect on the contractile properties of the BF was less clear. Correlations were found between the performance decrement of the RSA test and some of the tensiomyography parameters. In the RF, we observed negative correlations between RSADEC and Tc and between RSACHANGE and Dm. In the BF, negative correlations were found between both performance decrement indices (RSADEC and RSACHANGE) and pre to post change of Td and Tc. No significant differences in TMG parameters were found between the dominant and non-dominant leg either before or after the RSA test. Therefore, it can be concluded that no lateral asymmetry exists regarding the contractile properties of the RF and the BF in the professional futsal players recruited for this study, neither at baseline nor after the RSA test.

Regarding RSA test performance, compared with the first sprint there was a significant increase in 30-m sprint time from the third sprint onwards. This is consistent with the results of previous studies on elite football players27 that have reported a significant increase in sprint time from the second sprint. The percent sprint decrement (4.98%) was similar to those reported in other repeated-sprint ability tests conducted with elite football31,32 and female futsal33 players. Oliveira et al.4 observed a higher sprint decrement (6.7%) in high-level futsal players, probably due to the inclusion of changes of direction in the protocol, a greater sprint distance (40 m), and the moment of the season (pre-season). In this study, the RSACHANGE was significant in the first five sprint, but no significant differences were observed among sprints 6 and 7. The effect size of the differences was lower from the fourth sprint, coinciding with Da Silva et al.31 who reported no significant differences between the last four sprints.

The baseline values of the TMG variables in elite futsal players differ from the values previously reported for recreationally-active populations15,34, ultra-endurance athletes12, and even professional football players13,23. These outcomes show that the TMG profile of futsal players is different to that of other sports and recreationally active populations. Futsal players showed lower Tc and Td in the RF muscle than these groups, suggesting a better contractile ability. This means that the contractile properties of futsal players are phenotypically faster than those found in other sports35. Tc, or contraction time, is defined as the time interval between the onset of development of twitch force and its peak. This parameter reflects the speed of force generation and is related with the slow and fast motor units36. Concretely, Tc is positive correlated with the proportion of type I fibres37. Therefore, athletes from sports that need better contractile performance show lower Tc values35. In the BF, the contractile properties were similar to elite football players13.

The correlation analysis between the baseline values of the TMG for the BF and RSATT, RSABEST, and RSAMEAN revealed a medium correlation (0.3–0.5) between the Ts and the best sprint and a large correlation (0.5–0.7) between the Ts and the average sprint time. This suggests a better RSA (lower sprint time) in those players with lower Ts values. However, caution is required when interpreting this result due to the possible influence of the co-activation of other neighbouring muscles during the TMG evaluation38 and the low reliability of Ts39. There was also a significant positive correlation between delay time of the BF and RSADEC and RSACHANGE. Td, or delay time, is the time lapse from when the impulse is transmitted to the muscle until when the displacement of the muscular belly reaches 10% of the maximum displacement (10% Dm). Shorter Td indicate an earlier onset of contraction and a faster muscle reaction. Td is substantially related to the muscle fibre conduction velocity36, being both slower in slow-twitch than in fast-twitch fibres40,41. Fast fibres have been reported to store more elastic energy than slow fibers42, which enhances the speed of muscle relaxation and enables a faster realization of consecutive contractions36. As a consequence, athletes with shorter Td have been reported to show an increased ability to rapidly generate force during repeated muscle contractions43. Similarly, our result suggests that the futsal players with higher Td may have a lower ability for repeated high-intensity actions which is reflected by a higher decrement in RSA performance.

The results of the present study show the effects of a RSA test on the contractile properties and the neuromuscular profile of elite futsal players. Authors like De Paula Simola et al.44, or Wiewelhove et al.21 have already investigated the effects of fatigue on the contractile properties of the muscle in different sports. Although their results differ in many aspects, these authors generally agree that time-variables decreasing and the Dm increasing involve a normal response following the muscle training, especially in muscles adapted to explosive exercises12. The decrease in muscle stiffness evidenced by the increment of the Dm is produced as a consequence of fatigue and implies a loss of strength and explosive potential, reducing the ability to generate strength rapidly45. An unusual increase of the Dm can indicate chronic fatigue35, although this was not present in this study. Regarding the time variables (Td, Tc, Ts and Tr), the disparity between the described results of the previous research makes it difficult to draw conclusions, although most of the studies associated muscle fatigue with increased values of these variables. In the present study, the results show a reduction in all of the time parameters (Td, Tc, Ts and Tr) of the RF in both legs. This indicates that our RSA test did not induce muscle fatigue in the RF muscles of our participants but rather, it had a potentiating effect on their contractile properties14,25. The only symptom detected is the significant increase of the Dm in the RF of the dominant leg46. Regarding the BF, a significant reduction was observed in the Ts of both legs. The variability of this parameter and the possible influence of the co-activation of other neighbouring muscles during the TMG evaluation makes it difficult to interpret this behaviour38. Future studies with different protocols47 must be performed to characterise the performance decrement in futsal.

In the light of the results, we can conclude that the RSA test provokes an increase in the excitability of the RF in both legs (lower values for Td, Tc, Ts and Tr), while its effects on the contractile properties of the BF are less clear. Also, the RF of the dominant leg seems to be the first muscle to present performance decrement symptoms, as it is the first that starts to lose muscle tone (higher value of Dm) as a consequence of the effort. There was however, no effect on lateral symmetry. In line with the study by Gil et al.23 in Brazilian footballers, no significant differences were found either before or after the RSA test. Although the results are hardly comparable, there are very few studies that cover this topic in futsal players and the fact that no significant difference was found between the dominant and non-dominant leg could be considered as a health symptom of the sample, as an imbalance is associated with an increase in injury risk20,48. Further research is required to investigate the behaviour of these variables in real fatigue situations as this is when there is a higher risk of muscle injury.

There were moderate negative correlations (0.3–0.5) between the performance decrement (RSADEC) and the variation of the Tc, as well as between performance decrement (RSACHANGE) and the variation of the Dm in the the RF. These correlations indicate that a greater decrement (identified as a significant decrease in performance) will correspond to lower variations of the Tc and Dm in the RF. This means that the gap between the values measured before and after the RSA test decreases as performance decrement increases. Moreover, it would be expected that, in case of continuing the exercise until severe fatigue appears, post values will overcome pre values changing the sense of the differences, as described earlier by other authors12,13,25. Regarding the BF, the results of the analysis showed moderate-to-large positive correlations between the two performance decrement indicators (RSADEC, RSACHANGE) and the variation of the Td and the Tc, suggesting that the evolution of these variables (Td, Tc) may provide relevant information regarding the degree of fatigue in the BF muscles.


The baseline contractile properties of lower-limb muscles are related to performance and the percent decrement in repeated high-intensity actions in futsal players. Lower Ts and Td baseline values in the BF were associated with a better performance and lower performance decrement in repeated sprint actions, respectively. Finally, greater changes in Td and Tc after the RSA test showed a relationship with a higher decrement in RSA test performance in futsal elite player. The behaviour of the contractile properties only describes the acute adaptations in the RF and the BF after completing the RSA test, as the measurement was made immediately after finishing the test. It will be necessary that future studies include neuromuscular parameter controls both 24 and 48 h after to understand the impact of fatigue on the contractile properties of these athletes across a longer time period.

Most studies about futsal have focused on analysing both the demands of futsal fixtures and the physiological profile of futsal players. This is the first research study to assess the effect of a repeated sprint test on the contractile muscle profile in elite futsal players. The findings suggest that muscle mechanical variables have a significant relationship with the performance during a RSA test. Therefore, tensiomyography is a useful instrument to assess the influence of contractile muscle ability on the physical performance and the performance decrement during in high-intensity actions of futsal players. The contractile profile of elite futsal players from Spain provided in this study provides knowledge about the muscle properties of healthy elite futsal players in the middle of the season. These results can be useful for physical trainers and coaches as a reference to design specific training and rehabilitation programs to reach the references values and an optimal muscle contractile ability. In short, this research supports the use of tensiomyography as a tool that is sensitive enough to detect mechanical changes and to aid in the understanding of how these changes affect the capacity of futsal players to perform intermittent efforts at a high intensity.


  1. 1.

    Castagna, C. & Barbero Alvarez, J. C. Physiological demands of an intermittent futsal-oriented high-intensity test. J Strength Cond Res. 24, 2322–2329 (2010).

    Article  Google Scholar 

  2. 2.

    Castagna, C., D’Ottavio, S., Granda Vera, J. & Barbero Alvarez, J. C. Match demands of professional Futsal: a case study. J Sci Med Sport 12, 490–494 (2009).

    Article  Google Scholar 

  3. 3.

    De Oliveira Bueno, M. J. et al. Analysis of the distance covered by Brazilian professional futsal players during official matches. Sports Biomech. 13, 230–240 (2014).

    Article  Google Scholar 

  4. 4.

    Oliveira, R. S., Leicht, A. S., Bishop, D., Barbero-Alvarez, J. C. & Nakamura, F. Y. Seasonal changes in physical performance and heart rate variability in high level futsal players. Int J Sports Med. 34, 424–430 (2013).

    CAS  PubMed  Google Scholar 

  5. 5.

    Caetano, F. G. et al. Characterization of the Sprint and Repeated-Sprint Sequences Performed by Professional Futsal Players, According to Playing Position, During Official Matches. J Appl Biomech. 31, 423–429 (2015).

    ADS  Article  Google Scholar 

  6. 6.

    Sanchez-Sanchez, J. et al. Influence of the mechanical properties of third-generation artificial turf systems on soccer players’ physiological and physical performance and their perceptions. PLoS One. 9, e111368 (2014).

    ADS  Article  Google Scholar 

  7. 7.

    Barišić, V. et al. Differences in saq performance between futsal and volleyball players. In 6th International Scientific Conference on Kinesiology. (Eds Milanović, D. & Sporiš, G.) 712–715 (University of Zagreb).

  8. 8.

    Cuadrado-Peñafiel, V., Párraga-Montilla, J., Ortega-Becerra, M. & Jiménez-Reyes, P. Repeated sprint ability in professional soccer vs. professional futsal players. E-balonmano. com: Revista de Ciencias del Deporte. 10, 89–98 (2014).

    Google Scholar 

  9. 9.

    Pau, M., Ibba, G. & Attene, G. Fatigue-induced balance impairment in young soccer players. J Athl Train. 49, 454–461 (2014).

    Article  Google Scholar 

  10. 10.

    Greig, M. The influence of soccer-specific fatigue on peak isokinetic torque production of the knee flexors and extensors. Am J Sports Med. 36, 1403–1409 (2008).

    ADS  Article  Google Scholar 

  11. 11.

    Small, K., McNaughton, L., Greig, M. & Lovell, R. The effects of multidirectional soccer-specific fatigue on markers of hamstring injury risk. J Sci Med Sport. 13, 120–125 (2010).

    CAS  Article  Google Scholar 

  12. 12.

    Garcia-Manso, J. M. et al. Assessment of muscle fatigue after an ultra-endurance triathlon using tensiomyography (TMG). J Sports Sci. 29, 619–625 (2011).

    ADS  Article  Google Scholar 

  13. 13.

    Rey, E., Lago-Peñas, C., Lago-Ballesteros, J. & Casáis, L. The effect of recovery strategies on contractile properties using tensiomyography and perceived muscle soreness in professional soccer players. J Strength Cond Res. 26, 3081–3088 (2012).

    Article  Google Scholar 

  14. 14.

    Rusu, L. D. et al. Tensiomyography method used for neuromuscular assessment of muscle training. J Neuroeng Rehabil. 10 (2013).

    Article  Google Scholar 

  15. 15.

    Carrasco, L., Sanudo, B., de Hoyo, M., Pradas, F. & Da Silva, M. E. Effectiveness of low-frequency vibration recovery method on blood lactate removal, muscle contractile properties and on time to exhaustion during cycling at VO(2)max power output. Eur J Appl Physiol. 111, 2271–2279 (2011).

    Article  Google Scholar 

  16. 16.

    Simunic, B. Between-day reliability of a method for non-invasive estimation of muscle composition. J Electromyogr Kinesiol. 22, 527–530 (2012).

    Article  Google Scholar 

  17. 17.

    Tous-Fajardo, J. et al. Inter-rater reliability of muscle contractile property measurements using non-invasive tensiomyography. J Electromyogr Kinesiol. 20, 761–766 (2010).

    Article  Google Scholar 

  18. 18.

    Rodríguez-Ruiz, D. et al. Study of mechanical characteristics of the knee extensor and flexor musculature of volleyball players. Eur J Sport Sci. 12, 399–407 (2012).

    Article  Google Scholar 

  19. 19.

    Bishop, C., Turner, A. & Read, P. Effects of inter-limb asymmetries on physical and sports performance: a systematic review. J Sports Sci. 36, 1135–1144 (2018).

    Article  Google Scholar 

  20. 20.

    Rahnama, N., Lees, A. & Bambaecichi, E. Comparison of muscle strength and flexibility between the preferred and non-preferred leg in English soccer players. Ergonomics. 48, 1568–1575 (2005).

    Article  Google Scholar 

  21. 21.

    Wiewelhove, T. et al. Markers for Routine Assessment of Fatigue and Recovery in Male and Female Team Sport Athletes during High-Intensity Interval Training. PLoS One 10, e0139801 (2015).

    Article  Google Scholar 

  22. 22.

    Alvarez-Diaz, P. et al. Effects of anterior cruciate ligament reconstruction on neuromuscular tensiomyographic characteristics of the lower extremity in competitive male soccer players. Knee Surgery, Sports Traumatology, Arthroscopy. 23, 3407–3413 (2015).

    Article  Google Scholar 

  23. 23.

    Gil, S. et al. Tensiomyography parameters and jumping and sprinting performance in Brazilian elite soccer players. Sports Biomech. 14, 340–350 (2015).

    Article  Google Scholar 

  24. 24.

    Wilson, H. V., Johnson, M. I. & Francis, P. Repeated stimulation, inter-stimulus interval and inter-electrode distance alters muscle contractile properties as measured by Tensiomyography. PLoS One 13, e0191965 (2018).

    Article  Google Scholar 

  25. 25.

    Krizaj, D., Simunic, B. & Zagar, T. Short-term repeatability of parameters extracted from radial displacement of muscle belly. J Electromyogr Kinesiol. 18, 645–651 (2008).

    Article  Google Scholar 

  26. 26.

    Barbero-Álvarez, J. C., Coutts, A., Granda, J., Barbero-Álvarez, V. & Castagna, C. The validity and reliability of a global positioning satellite system device to assess speed and repeated sprint ability (RSA) in athletes. J Sci Med Sport. 13, 232–235 (2010).

    Article  Google Scholar 

  27. 27.

    Chaouachi, A. et al. Intermittent endurance and repeated sprint ability in soccer players. J Strength Cond Res. 24, 2663–2669 (2010).

    Article  Google Scholar 

  28. 28.

    Girard, O., Mendez-Villanueva, A. & Bishop, D. Repeated-sprint ability -part I: factors contributing to fatigue. Sports Med. 41, 673–694 (2011).

    Article  Google Scholar 

  29. 29.

    Cohen, J. Quantitative methods in psychology: A power primer. Psychol Bull. 112, 155–159 (1992).

    CAS  Article  Google Scholar 

  30. 30.

    Hopkins, W. G., Marshall, S. W., Batterham, A. M. & Hanin, J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 41, 3–13 (2009).

    Article  Google Scholar 

  31. 31.

    Da Silva, J. F., Guglielmo, L. G. & Bishop, D. Relationship between different measures of aerobic fitness and repeated-sprint ability in elite soccer players. J Strength Cond Res. 24, 2115–2121 (2010).

    Article  Google Scholar 

  32. 32.

    Impellizzeri, F. M. et al. Validity of a repeated-sprint test for football. Int J Sports Med. 29, 899–905 (2008).

    CAS  Article  Google Scholar 

  33. 33.

    Ramos-Campo, D. J., Rubio-Arias, J. A., Carrasco-Poyatos, M. & Alcaraz, P. E. Physical performance of elite and subelite Spanish female futsal players. Biol Sport. 33, 297–304 (2016).

    CAS  Article  Google Scholar 

  34. 34.

    Rodríguez-Matoso, D. et al. Reproducibility of muscle response measurements using tensiomyography in a range of positions. Rev Andal Med Deporte. 3, 81–86 (2010).

    Google Scholar 

  35. 35.

    Loturco, I. et al. Differences in muscle mechanical properties between elite power and endurance athletes: a comparative study. J Strength Cond Res. 29, 1723–1728 (2015).

    Article  Google Scholar 

  36. 36.

    ŠImuniČ, B. et al. Noninvasive Estimation of Myosin Heavy Chain Composition in Human Skeletal Muscle. Medicine & Science in Sports & Exercise. 43, 1619–1625 (2011).

    Article  Google Scholar 

  37. 37.

    Dahmane, R., Valenčič, V., Knez, N. & Eržen, I. Evaluation of the ability to make non-invasive estimation of muscle contractile properties on the basis of the muscle belly response. Medical and biological engineering and computing. 39, 51–55 (2000).

    Article  Google Scholar 

  38. 38.

    Rodríguez-Matoso, D. Aplicación de la tensiomiografía en la evalúación de la respuesta muscular en adaptaciones agudas y crónicas al ejercicio físico. (Universidad de Las Palmas de Gran Canaria, 2013).

  39. 39.

    Martin-Rodriguez, S., Loturco, I., Hunter, A. M., Rodriguez-Ruiz, D. & Munguia-Izquierdo, D. Reliability and Measurement Error of Tensiomyography to Assess Mechanical Muscle Function: A Systematic Review. J Strength Cond Res. 31, 3524–3536 (2017).

    Article  Google Scholar 

  40. 40.

    Barry, D. T., Geiringer, S. R. & Ball, R. D. Acoustic myography: a noninvasive monitor of motor unit fatigue. Muscle Nerve. 8, 189–194 (1985).

    CAS  Article  Google Scholar 

  41. 41.

    Sadoyama, T., Masuda, T., Miyata, H. & Katsuta, S. Fibre conduction velocity and fibre composition in human vastus lateralis. Eur J Appl Physiol Occup Physiol. 57, 767–771 (1988).

    CAS  Article  Google Scholar 

  42. 42.

    Bosco, C., Tihanyi, J., Komi, P. V., Fekete, G. & Apor, P. Store and recoil of elastic energy in slow and fast types of human skeletal muscles. Acta Physiol Scand. 116, 343–349 (1982).

    CAS  Article  Google Scholar 

  43. 43.

    Rey, E., Lago-Penas, C. & Lago-Ballesteros, J. Tensiomyography of selected lower-limb muscles in professional soccer players. J Electromyogr Kinesiol. 22, 866–872 (2012).

    Article  Google Scholar 

  44. 44.

    De Paula Simola, R. A. et al. Assessment of neuromuscular function after different strength training protocols using tensiomyography. J Strength Cond Res. 29, 1339–1348 (2015).

    Article  Google Scholar 

  45. 45.

    Kokkonen, J., Nelson, A. G. & Cornwell, A. Acute muscle stretching inhibits maximal strength performance. Res Q Exerc Sport. 69, 411–415 (1998).

    CAS  Article  Google Scholar 

  46. 46.

    García-Manso, J. M. et al. La tensiomiografía como herramienta de evaluación muscular en el deporte. Rev Andal Med Deporte. 3, 98–102 (2010).

    Google Scholar 

  47. 47.

    Dogramaci, S. N., Watsford, M. L. & Murphy, A. J. Time-motion analysis of international and national level futsal. J Strength Cond Res. 25, 646–651 (2011).

    Article  Google Scholar 

  48. 48.

    Alvarez-Diaz, P. et al. Comparison of tensiomyographic neuromuscular characteristics between muscles of the dominant and non-dominant lower extremity in male soccer players. Knee Surg Sports Traumatol Arthrosc. 24, 2259–2263 (2016).

    Article  Google Scholar 

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Author information




J.S.S. and L.G. conceived of the presented idea. E.C., E.H. and E.U.G. developed the background and performed the calibration of the different devices used in the tests. J.L.F. and J.G.U. verified the methods section. All authors discussed the results and contributed to the final manuscript. J.S.S., E.C., E.U.G. and J.L.F. carried out the tests, J.S.S. wrote the manuscript with support from D.B., E.H. and E.C. L.G. helped supervise the project. Both J.S.S. and D.B. contributed to the final version of the manuscript. J.G.U. and E.H. contributed to the interpretation of the results and data analysis and they drafted the manuscript and designed the figures and tables. All authors provided critical feedback and helped shape the research, analysis and manuscript.

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Correspondence to Javier Sánchez-Sánchez.

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Sánchez-Sánchez, J., Bishop, D., García-Unanue, J. et al. Effect of a Repeated Sprint Ability test on the muscle contractile properties in elite futsal players. Sci Rep 8, 17284 (2018).

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  • Futsal Players
  • RSA Test
  • Repeated Sprint Ability (RSA)
  • Tensiomyography (TMG)
  • Maximum Radial Displacement

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