with EMS, which may produce a load insufficient to yield group differences. The analysis did not reveal a significant difference in the CSA of the RA or LAW between the groups, so we could not confirm that ST was superior to EMS for increasing the CSA of the RA and LAW; moreover, muscle activation was
Ui-Jae Hwang, Sung-Hoon Jung, Hyun-A Kim, Jun-Hee Kim and Oh-Yun Kwon
Kevin McCurdy and John Walker
. 5 – 10 These segments have been shown to differ in moment arm length, mechanical line of action to the intended movement, fiber type, and anatomical structure, 7 , 11 , 12 which is suggested to determine muscle activation patterns. 7 For instance, McAndrew et al 11 determined that 3 regions
Aaron Derouin and Jim R. Potvin
/(EMG AG + EMG ANT ) × 100, where EMG AG and EMG ANT refer to agonist and antagonist muscle activations, respectively. Co-contraction was also calculated for the gastrocnemius medialis and vastus lateralis. The statistical analysis for each of the 18 conditions included a calculation of the means and
James W. Youdas, Hannah E. Baartman, Brian J. Gahlon, Tyler J. Kohnen, Robert J. Sparling and John H. Hollman
from low to high. Of the 16 estimates of torso muscle activation (4 muscles × 4 exercise conditions) in the present study, 11 were classified as moderate recruitment according to DiGiovine classification of muscle recruitment. 15 This finding is consistent with McGill et al’s work, 8 who found
Christopher Kevin Wong, Lizbeth Conway, Grant Fleming, Caitlin Gopie, Dara Liebeskind and Stephen Xue
attributed to neural adaptations that facilitate muscle activation, 1 while muscle hypertrophy and strength gains occur later, after 6 to 13 weeks. 2 Recent research has shown that, despite muscle hypertrophy, weakness can persist, particularly in the early stages of joint pathology. 3 , 4 Joint and
Deepika Singla and M. Ejaz Hussain
neuromuscular adaptations in the upper body to MBPT in cricket players of different age groups. Overall, the results of the present study showed that 8 weeks of plyometric training can elicit significant neuromuscular adaptations in cricketers from different age groups by improving their muscle activation
Sean A. Jones, Derek N. Pamukoff, Timothy C. Mauntel, J. Troy Blackburn and Joseph B. Myers
dyskinesis is an alteration of static scapular position and dynamic scapular motion that contribute to a lengthening of the posterior musculature and shortening of the anterior musculature, which may contribute to abnormal muscle activation. 3 Fortunately, scapular dyskinesis and SIS can be effectively
William P. Berg and Michael R. Hughes
Muscle activation was measured using EMG in 28 males (n = 28) while participants caught visually identical balls of known and unknown weights (50, 1.32, 2.18, and 2.99 kg) under variable (1–10s) and constant (3s) foreperiods. EMG integrals were computed for three time intervals before the catch (anticipatory), and one after (compensatory). Load uncertainty caused the CNS to use an anticipatory strategy characterized by preparation to catch balls of an unknown weight by utilizing about 92% of the muscle activation used to catch the heaviest possible ball under the known weight condition. The CNS appeared to scale anticipatory muscle activation to afford an opportunity to catch a ball of an unknown weight between .50 and 2.99 kg. The constant 3s foreperiod, which permitted temporal anticipation, did not influence the anticipatory neuromotor strategy adopted by the CNS to cope with load uncertainty. Load uncertainty also altered compensatory neuromotor control in catching.
Thomas S. Buchanan, David G. Lloyd, Kurt Manal and Thor F. Besier
This paper provides an overview of forward dynamic neuromusculoskeletal modeling. The aim of such models is to estimate or predict muscle forces, joint moments, and/or joint kinematics from neural signals. This is a four-step process. In the first step, muscle activation dynamics govern the transformation from the neural signal to a measure of muscle activation—a time varying parameter between 0 and 1. In the second step, muscle contraction dynamics characterize how muscle activations are transformed into muscle forces. The third step requires a model of the musculoskeletal geometry to transform muscle forces to joint moments. Finally, the equations of motion allow joint moments to be transformed into joint movements. Each step involves complex nonlinear relationships. The focus of this paper is on the details involved in the first two steps, since these are the most challenging to the biomechanician. The global process is then explained through applications to the study of predicting isometric elbow moments and dynamic knee kinetics.
Gerald L. Gottlieb
Muscle stress is plainly one of the physical variables that the central nervous system probably wishes to minimize. This criterion does not uniquely define the patterns of muscle activation. It fails to explain the degree of coactivation of muscle antagonists that is widely found, and it cannot explain why two movements or movement segments that follow an identical trajectory driven by identical joint torques can be driven by different patterns of muscle activation. Muscle contraction provides for both net joint torque and limb stability. The minimization of the sum of muscle stresses, raised to any power, is an insufficient rule.