scholarly journals The Differences of Shoulder Muscle Activity Onset Time according to Body Tilting Angle in Push-up Exercise

2015 ◽  
Vol 10 (2) ◽  
pp. 55-61 ◽  
Author(s):  
Yong-Ho Cho ◽  
Sung-Ok Kim ◽  
Jin-Ho Choi
Physiotherapy ◽  
2015 ◽  
Vol 101 ◽  
pp. e1452-e1453
Author(s):  
T. Suehiro ◽  
M. Mizutani ◽  
H. Ishida ◽  
K. Kobara ◽  
O. Hiroshi ◽  
...  

2010 ◽  
Vol 25 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Bryan R. Picco ◽  
Steven L. Fischer ◽  
Clark R. Dickerson

2019 ◽  
Author(s):  
Rodrigo S. Maeda ◽  
Paul L. Gribble ◽  
J. Andrew Pruszynski

AbstractPrevious work has demonstrated that when learning a new motor task, the nervous system modifies feedforward (ie. voluntary) motor commands and that such learning transfers to fast feedback (ie. reflex) responses evoked by mechanical perturbations. Here we show the inverse, that learning new feedback responses transfers to feedforward motor commands. Sixty human participants (34 females) used a robotic exoskeleton and either 1) received short duration mechanical perturbations (20 ms) that created pure elbow rotation or 2) generated self-initiated pure elbow rotations. They did so with the shoulder joint free to rotate (normal arm dynamics) or locked (altered arm dynamics) by the robotic manipulandum. With the shoulder unlocked, the perturbation evoked clear shoulder muscle activity in the long-latency stretch reflex epoch (50-100ms post-perturbation), as required for countering the imposed joint torques, but little muscle activity thereafter in the so-called voluntary response. After locking the shoulder joint, which alters the required joint torques to counter pure elbow rotation, we found a reliable reduction in the long-latency stretch reflex over many trials. This reduction transferred to feedforward control as we observed 1) a reduction in shoulder muscle activity during self-initiated pure elbow rotation trials and 2) kinematic errors (ie. aftereffects) in the direction predicted when failing to compensate for normal arm dynamics, even though participants never practiced self-initiated movements with the shoulder locked. Taken together, our work shows that transfer between feedforward and feedback control is bidirectional, furthering the notion that these processes share common neural circuits that underlie motor learning and transfer.


Author(s):  
Ciro Agnelli ◽  
John A. Mercer

Background: Triathletes typically wear a wetsuit during the swim portion of an event, but it is not clear if muscle activity is influenced by wearing a wetsuit. Purpose: To investigate if shoulder muscle activity was influenced by wearing a full-sleeve wetsuit vs. no wetsuit during dryland swimming. Methods: Participants (n=10 males; 179.1±13.2 cm; 91.2±7.25 kg; 45.6±10.5 years) completed two dry land swimming conditions on a swim ergometer: No Wetsuit (NW) and with Wetsuit (W). Electromyography (EMG) of four upper extremity muscles was recorded (Noraxon telemetry EMG, 500 Hz) during each condition: Trapezius (TRAP), Triceps (TRI), Anterior Deltoid (AD) and Posterior Deltoid (PD). Each condition lasted 90 seconds with data collected during the last 60 seconds. Resistance setting was self-selected and remained constant for both conditions. Stroke rate was controlled at 60 strokes per minute by having participants match a metronome. Average (AVG) and Root Mean Square (RMS) EMG were calculated over 45 seconds and each were compared between conditions using a paired t-test (α=0.05) for each muscle. Results: PD and AD AVG and RMS EMG were each greater (on average 40.0% and 66.8% greater, respectively) during W vs. NW (p<0.05) while neither TRAP nor TRI AVG or RMS EMG were different between conditions (p>0.05). Conclusion: The greater PD and AD muscle activity while wearing a wetsuit might affect swimming performance and /or stroke technique on long distance event.


2009 ◽  
Vol 39 (8) ◽  
pp. 663-685 ◽  
Author(s):  
Rafael F. Escamilla ◽  
Kyle Yamashiro ◽  
Lonnie Paulos ◽  
James R. Andrews

2018 ◽  
Vol 476 (6) ◽  
pp. 1276-1283 ◽  
Author(s):  
Kwanwoo Kim ◽  
Hyun-Jung Hwang ◽  
Seul-Gi Kim ◽  
Jin-Hyuck Lee ◽  
Woong Kyo Jeong

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