Change of mean frequency of EMG signal during 100 meter maximal free style swimming

Štirn, Igor; Vizintin, T.; Kapus, Venceslav; Jarm, Tomaž; Strojnik, Vojko

doi:10.1007/978-3-540-73044-6_259

Cited by 3 publications

(3 citation statements)

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“…However, observed MNF during a fatiguing muscle contraction did not fall to zero but instead exhibited two distinct phases: an initial steep and linear decrease phase and a final plateau-like phase with a very small or no further decrease (Gerdle et al, 1988(Gerdle et al, , 2000, as illustrated in Figure 7. Such behaviour has been observed in various conditions: during repeated maximum isokinetic contractions (Gerdle et al, 1988(Gerdle et al, , 2000Lindstrom, Lexell, Gerdle, & Downham, 1997;Lundblad, Elert, & Gerdle, 1998), dynamic contractions (Wretling, Henriksson-Larsen, & Gerdle, 1997), during treadmill uphill running (Ament, Bonga, Hof, & Verkerke, 1993) and cycling (Strojnik, Jereb, & Colja, 1997). This decay of spectral parameters appears to be best fitted by the exponential regression model.…”

Section: Introductionmentioning

confidence: 83%

“…Taking into consideration the fatiguing protocols of other studies (Ament et al, 1993;Gerdle et al, 1988Gerdle et al, , 2000Lindstrom et al, 1997;Lundblad et al, 1998;Merletti et al, 1991;Strojnik et al, 1997;Wretling et al, 1997) and based on our preexperimental study (Stirn et al, 2007) we have established that the duration of the isometric contraction at maximum effort needed for reliable estimation of the endurance level (when there is very little or no further decrease of MNF possible) should be at least 90 seconds. Performing a longlasting contraction with a maximum effort presented the quickest way to achieve MNF min .…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of mean power spectral frequency of EMG signal during 100 metre crawl

Štirn

Jarm

Kapus

et al. 2011

European Journal of Sport Science

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The aim of our study was to compare mean frequency (MNF) decrease in some upper body muscles during a 100-metre allout crawl by using two different normalization methods: firstly, when MNF at the end of swimming (MNF Send ) was normalized with respect to its initial value at the beginning and expressed with a fatigue index (FI) labelled FI start , and secondly when MNF min was used to calculate FI min . MNF min presented the lowest MNF obtained during isometric contractions until exhaustion executed on land after swimming for each of three observed muscles Á triceps brachii (TB), latissimus dorsi (LD) and pectoralis major (PM). Eleven experienced swimmers participated in the study and surface electromyography (EMG) signals from TB, the upper and lower parts of LD (LD1 and LD2 respectively) and the upper and lower parts of PM (PM1 and PM2 respectively) were recorded during both swimming and isometric contractions. Results showed no differences in FI start ; however, when FI min values were compared differences between the muscles were found (P B 0.05). The triceps brachii (TB) and the upper part of the latissimus dorsi muscles (LD1) showed the lowest FI min (40.0915.7 and 40.7924.4 respectively), which implied that MNF Send obtained from these muscles most closely approached their respective MNF min values during swimming. This might suggest that these muscles fatigued more than other observed muscles. The use of a different type of muscle contraction for calculating FI min (isometric versus dynamic) might represent a drawback to our study, but this approach could be acceptable when between-muscle comparisons are made.

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Section: Introductionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Evaluation of mean power spectral frequency of EMG signal during 100 metre crawl

Štirn

Jarm

Kapus

et al. 2011

European Journal of Sport Science

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“…The need to develop systems electromyographic (EMG) to work in the aquatic environment, has led several researchers [4,5] to refine these instruments to ensure the credibility of the data provided by EMG, both to the pattern of muscle activation [6][7][8][9][10], the muscle involvement and its variations in various technical swimming [11], the amendments to the EMG signal during maximal tests [12]. *Address correspondence to this author at the Department of Sport Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal, Rua Dr. Manuel Cardona, 5000 Vila Real Portugal; Tel: +351 259350000; E-mail: Ajsilva@utad.pt…”

Section: Introductionmentioning

confidence: 99%

Electromyography in Front Crawl Technique - Case Study~!2009-07-05~!2009-11-01~!2010-04-29~!

Conceição¹,

Silva²,

Palma³

et al. 2010

TOSSJ

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The need to develop systems electromyographic (EMG) in the aquatic environment, has led several researchers to refine these instruments to ensure the credibility of the data provided by EMG. The aim of this study is to characterize the behavior of two muscle muscles involved in the crawl technique (biceps brachii and triceps brachii) over a test of 200m crawl. 1 male swimmer trained was subjected to a test consisting of a maximum voluntary contraction (MVC) of the Biceps Brachii (BB) and Triceps Brachii (TB) for standardization. A protocol of 4 x 50m with an interval of 15 seconds at a swimming speed of pre-established, making each part to 95% of transit time for 200m crawl. EMG surface electrodes were used with a Wirelless bioPLUX.research. The EMG signal of the BB and TB muscles of the right arm was removed throughout the test and then synchronized with the video image, and selected 5 cycles of swimming on all identical pathways.There is a gradual decrease of its average muscle activity. The BB was about 43% and TB was 26%. The largest variation on it, in the case of BB, between the third and fourth route (21%), and in the case of TB, between the second and third route (14%).The muscles studied demonstrated changes in the duration of swim cycles, indicating that, there is a decrease in muscle activity, this supposed to be due to limitations in production capacity under swimmer and the characteristics of the art of swimming which are changing as increasing fatigue.

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Electromyography in Front Crawl Technique - Case Study

Conceição¹,

Silva²,

Palma³

et al. 2014

TOSSJ

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Abstract:The need to develop systems electromyographic (EMG) in the aquatic environment, has led several researchers to refine these instruments to ensure the credibility of the data provided by EMG. The aim of this study is to characterize the behavior of two muscle muscles involved in the crawl technique (biceps brachii and triceps brachii) over a test of 200m crawl. 1 male swimmer trained was subjected to a test consisting of a maximum voluntary contraction (MVC) of the Biceps Brachii (BB) and Triceps Brachii (TB) for standardization. A protocol of 4 x 50m with an interval of 15 seconds at a swimming speed of pre-established, making each part to 95% of transit time for 200m crawl. EMG surface electrodes were used with a Wirelless bioPLUX.research. The EMG signal of the BB and TB muscles of the right arm was removed throughout the test and then synchronized with the video image, and selected 5 cycles of swimming on all identical pathways.There is a gradual decrease of its average muscle activity. The BB was about 43% and TB was 26%. The largest variation on it, in the case of BB, between the third and fourth route (21%), and in the case of TB, between the second and third route (14%).The muscles studied demonstrated changes in the duration of swim cycles, indicating that, there is a decrease in muscle activity, this supposed to be due to limitations in production capacity under swimmer and the characteristics of the art of swimming which are changing as increasing fatigue.

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Change of mean frequency of EMG signal during 100 meter maximal free style swimming

Cited by 3 publications

References 5 publications

Evaluation of mean power spectral frequency of EMG signal during 100 metre crawl

Evaluation of mean power spectral frequency of EMG signal during 100 metre crawl

Electromyography in Front Crawl Technique - Case Study~!2009-07-05~!2009-11-01~!2010-04-29~!

Electromyography in Front Crawl Technique - Case Study

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