Test-retest reliability of the electromyographic fatigue threshold for cycle ergometry

被引:14
作者
Mahmutovic, Selim [1 ,2 ]
Sprout, Erick Y. [1 ,2 ]
Fontaine, John C. [1 ,2 ]
Buskirk, Travis M. [1 ,2 ]
Galen, Sujay S. [2 ]
Malek, Moh H. [1 ,2 ]
机构
[1] Wayne State Univ, Dept Hlth Care Sci, Eugene Applebaum Coll Pharm & Hlth Sci, Integrat Physiol Exercise Lab, Detroit, MI USA
[2] Wayne State Univ, Dept Hlth Care Sci, Eugene Applebaum Coll Pharm & Hlth Sci, Phys Therapy Program, Detroit, MI USA
关键词
consistency; exercise; intraclass correlation; neuromuscular; statistics; MEAN POWER FREQUENCY; MECHANOMYOGRAPHIC RESPONSES; QUADRICEPS FEMORIS; AMPLITUDE; SENSORS; PEOPLE;
D O I
10.1002/mus.24915
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction: The purpose of this study was to determine the intersession reliability of the electromyographic fatigue threshold (EMG(FT)) for cycle ergometry. Methods: On separate occasions, 10 healthy, college-aged men performed an incremental test to voluntary exhaustion on a cycle ergometer. The EMG amplitude vs. time relationships for each power output from the quadriceps femoris muscles were analyzed using linear regression. EMG(FT) was defined operationally as the average of the highest power output that resulted in a non-significant slope coefficient (P> 0.05) and the lowest power output that resulted in a significant (P< 0.05) positive slope coefficient. The EMG(FT) values for trials 1 and 2 were used to calculate the intraclass correlation coefficient (ICC). Results: Overall, the reliability of the EMG(FT) (ICC2,1=0.85; 95% confidence interval 0.49-0.96) was in the excellent category. Conclusions: The EMG(FT) for cycle ergometry is a reliable measure for assessing muscular fatigue. Muscle Nerve53: 803-807, 2016
引用
收藏
页码:803 / 807
页数:5
相关论文
共 50 条
  • [1] INTERSESSION RELIABILITY OF THE ELECTROMYOGRAPHIC SIGNAL DURING INCREMENTAL CYCLE ERGOMETRY: QUADRICEPS FEMORIS
    Travis, Liesle A.
    Arthmire, Steven J.
    Baig, Ahmed M.
    Goldberg, Allon
    Malek, Moh H.
    MUSCLE & NERVE, 2011, 44 (06) : 937 - 946
  • [2] Test-Retest Reliability of Electroglottography Measurement
    Cangi, Mehmet Emrah
    Yilmaz, Goksu
    JOURNAL OF ACADEMIC RESEARCH IN MEDICINE-JAREM, 2021, 11 (02): : 126 - 136
  • [3] An EMG frequency-based test for estimating the neuromuscular fatigue threshold during cycle ergometry
    Camic, Clayton L.
    Housh, Terry J.
    Johnson, Glen O.
    Hendrix, C. Russell
    Zuniga, Jorge M.
    Mielke, Michelle
    Schmidt, Richard J.
    EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, 2010, 108 (02) : 337 - 345
  • [4] Test-retest reliability of the EUROFIT test battery: a review
    Grgic, Jozo
    SPORT SCIENCES FOR HEALTH, 2023, 19 (02) : 381 - 388
  • [5] ImPact Test-Retest Reliability: Reliably Unreliable?
    Resch, Jacob
    Driscoll, Aoife
    McCaffrey, Noel
    Brown, Cathleen
    Ferrara, Michael S.
    Macciocchi, Stephen
    Baumgartner, Ted
    Walpert, Kimberly
    JOURNAL OF ATHLETIC TRAINING, 2013, 48 (04) : 506 - 511
  • [6] Test-Retest Reliability for Aerodynamic Measures of Voice
    Awan, Shaheen N.
    Novaleski, Carolyn K.
    Yingling, Julie R.
    JOURNAL OF VOICE, 2013, 27 (06) : 674 - 684
  • [7] Within-session test-retest reliability of pressure pain threshold and mechanical temporal summation in healthy subjects
    Mailloux, Catherine
    Beaulieu, Louis-David
    Wideman, Timothy H.
    Masse-Alarie, Hugo
    PLOS ONE, 2021, 16 (01):
  • [8] The Test-Retest Reliability of the Photopic Negative Response (PhNR)
    Tang, Jessica
    Edwards, Thomas
    Crowston, Jonathan G.
    Sarossy, Marc
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2014, 3 (06):
  • [9] Moderators of Test-Retest Reliability in Implicit and Explicit Attitudes
    Axt, Jordan
    Roy, Eliane
    JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 2024, : 567 - 593
  • [10] Test-Retest Reliability of the Twin Cities Walking Survey
    Forsyth, Ann
    Oakes, J. Michael
    Schmitz, Kathryn H.
    JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 2009, 6 (01) : 119 - 131