Literature DB >> 17624542

Aerobic-anaerobic transition intensity measured via EMG signals in athletes with different physical activity patterns.

Jaak Jürimäe1, Serge P von Duvillard, Jarek Mäestu, Antonio Cicchella, Priit Purge, Sergio Ruosi, Toivo Jürimäe, Jena Hamra.   

Abstract

The purpose of the present study was to investigate the use of electromyographic signals (EMG), to determine the EMG threshold (EMGT) in four lower extremity muscles and to compare these thresholds with the second ventilatory threshold (VT2) in subjects participating in different sports and at different performance levels. Forty-nine subjects (23.8 +/- 5.7 years, 182.7 +/- 5.3 cm, 79.1 +/- 8.6 kg) including eleven cyclists, ten team-handball players, nine kayakers, eight power lifters and eleven controls were investigated utilizing a cycle ergometer. Respiratory gas exchange measures were collected and EMG activity was continuously recorded from four muscles (vastus lateralis, vastus medialis, biceps femoris and gastrocnemius lateralis). The VO(2)max averaged 56.1 +/- 11.1 ml kg(-1) min(-1), the average aerobic power was 348.5 +/- 61.0 W and the corresponding VT2 occurred at 271.4 +/- 64.0 W. The EMGT ranged from 80 to 98% of power output for the different muscles. The VT2 and EMG thresholds from four different muscles were not different. When thresholds were analyzed among different groups of subjects, no significant difference was observed between VT2 and EMGT despite threshold differences between the groups. All four EMGT were significantly related to maximal aerobic power (r = 0.73-0.83) and were highly correlated to each other (r = 0.57-0.88). In conclusion, EMGT can be used to determine the VT2 for individuals independent of sport specificity or performance level.

Mesh:

Year:  2007        PMID: 17624542     DOI: 10.1007/s00421-007-0509-5

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  25 in total

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Authors:  F Hug; D Laplaud; B Savin; L Grélot
Journal:  Eur J Appl Physiol       Date:  2003-09-24       Impact factor: 3.078

2.  Effects of aerobic endurance training status and specificity on oxygen uptake kinetics during maximal exercise.

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3.  Leg electromyography and the VO2-power relationship during bicycle ergometry.

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Journal:  Med Sci Sports Exerc       Date:  2001-07       Impact factor: 5.411

4.  EMG threshold determination in eight lower limb muscles during cycling exercise: a pilot study.

Authors:  F Hug; D Laplaud; A Lucia; L Grelot
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5.  Statistical methods for assessing agreement between two methods of clinical measurement.

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6.  Electromyographic and neuromuscular fatigue thresholds as concepts of fatigue.

Authors:  Jarek Mäestu; Antonio Cicchella; Priit Purge; Sergio Ruosi; Jaak Jürimäe; Toivo Jürimäe
Journal:  J Strength Cond Res       Date:  2006-11       Impact factor: 3.775

7.  Electromyographic correlates of the transition from aerobic to anaerobic metabolism in treadmill running.

Authors:  A D Taylor; R Bronks
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1994

8.  Determination of maximal power output at neuromuscular fatigue threshold.

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9.  Heart rate threshold related to lactate turn point and steady-state exercise on a cycle ergometer.

Authors:  P Hofmann; V Bunc; H Leitner; R Pokan; G Gaisl
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10.  Evolution of electromyographic signal, running economy, and perceived exertion during different prolonged exercises.

Authors:  C Hausswirth; J Brisswalter; J M Vallier; D Smith; R Lepers
Journal:  Int J Sports Med       Date:  2000-08       Impact factor: 3.118

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  5 in total

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2.  Surface Electromyography Thresholds as a Measure for Performance Fatigability During Incremental Cycling in Patients With Neuromuscular Disorders.

Authors:  Nicoline B M Voet; Christiaan G J Saris; Dick H J Thijssen; Vincent Bastiaans; David E Sluijs; Mariska M H P Janssen
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Review 3.  Responses to increasing exercise upon reaching the anaerobic threshold, and their control by the central nervous system.

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Journal:  BMC Sports Sci Med Rehabil       Date:  2014-04-24

4.  Identification and agreement of first turn point by mathematical analysis applied to heart rate, carbon dioxide output and electromyography.

Authors:  Antonio R Zamunér; Aparecida M Catai; Luiz E B Martins; Daniel I Sakabe; Ester Da Silva
Journal:  Braz J Phys Ther       Date:  2013-11-14       Impact factor: 3.377

5.  The temporal relationship of thresholds between muscle activity and ventilation during bicycle ramp exercise in community dwelling elderly males.

Authors:  Kentaro Sasaki; Tsuyoshi Kimura; Satoshi Kojima; Hiroyuki Higuchi
Journal:  J Phys Ther Sci       Date:  2016-11-29
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