Force–Time Curve Characteristics of Dynamic and Isometric Muscle Actions of Elite Women Olympic Weightlifters

2005 ◽  
Vol 19 (4) ◽  
pp. 741 ◽  
Author(s):  
G. Gregory Haff ◽  
Jon M. Carlock ◽  
Michael J. Hartman ◽  
J. Lon Kilgore ◽  
Naoki Kawamori ◽  
...  
2005 ◽  
Vol 19 (4) ◽  
pp. 741-748 ◽  
Author(s):  
G. GREGORY HAFF ◽  
JON M. CARLOCK ◽  
MICHAEL J. HARTMAN ◽  
J. LON KILGORE ◽  
NAOKI KAWAMORI ◽  
...  

Author(s):  
G. Gregory Haff ◽  
Michael Stone ◽  
Harold S. O'Bryant ◽  
Everett Harman ◽  
Chris Dinan ◽  
...  

2011 ◽  
Vol 25 (1) ◽  
pp. 198-204 ◽  
Author(s):  
Andy V Khamoui ◽  
Lee E Brown ◽  
Diamond Nguyen ◽  
Brandon P Uribe ◽  
Jared W Coburn ◽  
...  

1997 ◽  
Vol 11 (4) ◽  
pp. 269-272 ◽  
Author(s):  
G. Gregory Haff ◽  
Michael Stone ◽  
Harold S. OʼBryant ◽  
Everett Harman ◽  
Chris Dinan ◽  
...  

2010 ◽  
Vol 108-111 ◽  
pp. 369-371
Author(s):  
Li Qin Yao

Objective: to investigate the effect of proprioceptive neuromuscular facilitation stretching on force-time curve and EMG Parameters in competitive aerobics athletes. Methods: we take 36 competitive aerobics athletes as participants, and they were tested after bicycle exercise and bicycle exercise/PNF stretching protocol,then the data were compared and analyzed.Conclusion: PNF stretching for lower extremity will not cause the maximum muscular strength and force - time curve parameters (MVC,F100,IRF,and TMVC) significantly decreased in competitive aerobics athletes, however,EMG voltage of rectus femoris has undergone a significant decline,which is showed that PNF stretch will cause change in excited mode,but force - time curve parameters will not be affected significantly.EMG showed that neural inhibition did not affect the maximum isometric muscle strength and characteristics of time - the power curve parameters, indicating PNF stretching can improve capability of muscle coordination.To take full advantage of PNF stretching exercises, changes of muscular strength and force - time curve parameters caused by PNF stretching should be studied in a more comprehensive, in-depth detail.


2007 ◽  
Vol 20 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Orit Shechtman ◽  
Bhagwant S. Sindhu ◽  
Paul W. Davenport
Keyword(s):  

2012 ◽  
Vol 26 (10) ◽  
pp. 2685-2697 ◽  
Author(s):  
Brian K. Leary ◽  
Jason Statler ◽  
Britton Hopkins ◽  
Rachael Fitzwater ◽  
Tucker Kesling ◽  
...  

1987 ◽  
Vol 65 (3) ◽  
pp. 827-836
Author(s):  
Donald Siegel

The purpose of the present study was to determine whether initial measures of impulse (i.e., area under the force-time curve) could be used to predict peak force (PF) in hand grip responses of 5- and 10-kg amplitude executed as rapidly as possible. 12 subjects performed 75 practice and 25 test contractions in each condition, with and without visual feedback. The time to peak (PT) for the 5-kg responses was 41 msec., while the 10-kg condition averaged 56 msec. Analyses demonstrated no effect for visual feedback. Correlational analyses of cumulative impulse sections from 5 msec., to PF within conditions showed that early measures of force within a response were not very good predictors of final force amplitude. Indeed, for both conditions upwards of 85% of a reponse needed to have occurred before 50% of PF variance could be predicted. Analyses across conditions demonstrated that 50% of PF variance could be predicted between 15 and 20 msec. PT was also an important predictor variable. By using PT along with cumulative impulse 50% of the variance in PF could be predicted prior to 10 msec., at 5 kg (25% of PT) and at about 15 msec., for 10 kg (27% of PT). Across conditions, 85% of the variance in PF was predictable by 5 msec. Such results suggest that either more refined response indices are needed in predicting response outcome or that even for very rapid responses some lower level “tuning” probably occurs after initiation.


Author(s):  
Shyam Chavda ◽  
Anthony N. Turner ◽  
Paul Comfort ◽  
Guy Gregory Haff ◽  
Steve Williams ◽  
...  

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