Abstract
The purposes of this study were to determine if (a) the log-transformed model can be applied to dynamic exercise and (b) the slope and y-intercept terms can provide additional information above and beyond the polynomial regression analyses. Eleven physically active individuals performed incremental cycle ergometry on a single occasion. Electromyographic electrodes were placed on the three superficial quadriceps muscles to record muscle activation during the exercise test. The patterns of responses for electromyographic amplitude vs power output were analyzed with polynomial and log-transformed regression models. The results of the polynomial regression for the composite data indicated that the best-fit model for the vastus lateralis muscle was linear (R2=0.648, P<0.0001), whereas the best-fit model for the rectus femoris (R2=0.346, P=0.013) and vastus medialis (R2=0.764, P=0.020) muscles was quadratic. One-way repeated measures analyses indicated no significant differences (P>0.05) across the three superficial quadriceps muscles for the slope and y-intercept terms. These findings suggest that the log-transformed model may be a more versatile statistical approach to examining neuromuscular responses during dynamic exercise.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 159-165 |
| Number of pages | 7 |
| Journal | Scandinavian Journal of Medicine and Science in Sports |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 1 2015 |
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Keywords
- Cycle ergometry
- Exercise physiology
- Muscular fatigue
- Quadriceps muscles
ASJC Scopus subject areas
- Orthopedics and Sports Medicine
- Physical Therapy, Sports Therapy and Rehabilitation
Cite this
Comparing EMG amplitude patterns of responses during dynamic exercise : Polynomial vs log-transformed regression. / Blaesser, R. J.; Couls, L. M.; Lee, C. F.; Zuniga, Jorge M; Malek, M. H.
In: Scandinavian Journal of Medicine and Science in Sports, Vol. 25, No. 2, 01.04.2015, p. 159-165.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Comparing EMG amplitude patterns of responses during dynamic exercise
T2 - Polynomial vs log-transformed regression
AU - Blaesser, R. J.
AU - Couls, L. M.
AU - Lee, C. F.
AU - Zuniga, Jorge M
AU - Malek, M. H.
PY - 2015/4/1
Y1 - 2015/4/1
N2 - The purposes of this study were to determine if (a) the log-transformed model can be applied to dynamic exercise and (b) the slope and y-intercept terms can provide additional information above and beyond the polynomial regression analyses. Eleven physically active individuals performed incremental cycle ergometry on a single occasion. Electromyographic electrodes were placed on the three superficial quadriceps muscles to record muscle activation during the exercise test. The patterns of responses for electromyographic amplitude vs power output were analyzed with polynomial and log-transformed regression models. The results of the polynomial regression for the composite data indicated that the best-fit model for the vastus lateralis muscle was linear (R2=0.648, P<0.0001), whereas the best-fit model for the rectus femoris (R2=0.346, P=0.013) and vastus medialis (R2=0.764, P=0.020) muscles was quadratic. One-way repeated measures analyses indicated no significant differences (P>0.05) across the three superficial quadriceps muscles for the slope and y-intercept terms. These findings suggest that the log-transformed model may be a more versatile statistical approach to examining neuromuscular responses during dynamic exercise.
AB - The purposes of this study were to determine if (a) the log-transformed model can be applied to dynamic exercise and (b) the slope and y-intercept terms can provide additional information above and beyond the polynomial regression analyses. Eleven physically active individuals performed incremental cycle ergometry on a single occasion. Electromyographic electrodes were placed on the three superficial quadriceps muscles to record muscle activation during the exercise test. The patterns of responses for electromyographic amplitude vs power output were analyzed with polynomial and log-transformed regression models. The results of the polynomial regression for the composite data indicated that the best-fit model for the vastus lateralis muscle was linear (R2=0.648, P<0.0001), whereas the best-fit model for the rectus femoris (R2=0.346, P=0.013) and vastus medialis (R2=0.764, P=0.020) muscles was quadratic. One-way repeated measures analyses indicated no significant differences (P>0.05) across the three superficial quadriceps muscles for the slope and y-intercept terms. These findings suggest that the log-transformed model may be a more versatile statistical approach to examining neuromuscular responses during dynamic exercise.
KW - Cycle ergometry
KW - Exercise physiology
KW - Muscular fatigue
KW - Quadriceps muscles
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UR - http://www.scopus.com/inward/citedby.url?scp=84925361334&partnerID=8YFLogxK
U2 - 10.1111/sms.12184
DO - 10.1111/sms.12184
M3 - Article
VL - 25
SP - 159
EP - 165
JO - Scandinavian Journal of Medicine and Science in Sports
JF - Scandinavian Journal of Medicine and Science in Sports
SN - 0905-7188
IS - 2
ER -