2017
DOI: 10.1016/j.physbeh.2017.09.001
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Muscle activation behavior in a swimming exergame: Differences by experience and gaming velocity

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Cited by 13 publications
(14 citation statements)
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“…The most common approach to the analysis of sEMG signals is the assessment of the maximum or mean amplitude of the envelope, with or without normalisation to the maximum voluntary contraction [ 71 – 74 , 76 87 , 89 95 , 97 – 106 ]. The analysis of timing is also common in sport science, with usual approaches ranging from the detection of the onset and offset of sEMG activity and global and local maxima detection to examination of the entire time course using statistical parametric mapping [ 72 – 74 , 76 79 , 81 , 83 , 89 93 , 96 , 100 , 102 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The most common approach to the analysis of sEMG signals is the assessment of the maximum or mean amplitude of the envelope, with or without normalisation to the maximum voluntary contraction [ 71 – 74 , 76 87 , 89 95 , 97 – 106 ]. The analysis of timing is also common in sport science, with usual approaches ranging from the detection of the onset and offset of sEMG activity and global and local maxima detection to examination of the entire time course using statistical parametric mapping [ 72 – 74 , 76 79 , 81 , 83 , 89 93 , 96 , 100 , 102 ].…”
Section: Resultsmentioning
confidence: 99%
“…The majority of the studies included the recordings of less than nine muscles [ 72 , 73 , 77 85 , 87 , 91 95 , 98 – 106 , 158 ], while only a few considered a number between nine and 16 [ 74 , 76 , 86 , 88 , 90 , 96 ] or bigger than 16 [ 71 , 97 ]. Most of the studies considered muscles of the lower limb [ 71 73 , 77 , 78 , 81 , 83 85 , 89 , 90 , 92 , 93 , 95 , 96 , 98 , 104 , 106 , 115 ], with the remaining focussing on the trunk and/or upper limb [ 74 , 76 , 80 , 82 , 87 , 94 , 100 , 102 , 103 , 106 ] or both the upper and lower body [ 79 , 86 , 88 , 91 , 97 , 99 , 101 ]. Bilateral recordings (involving the left and right hand side of the same muscles) were less common [ 71 , 74 , 77 , 82 , 86 , 88 , 90 , 97 , 98 , 101 ] than ipsilateral [ 72 , 7...…”
Section: Resultsmentioning
confidence: 99%
“…This may have not imposed a high resistance to the lower limbs, which was similar to walking in a self-selected pace. A previous study that manipulated the intensity of the swimming exergame using faster movements 13 was successful to produce higher EMG activity. The EMG activity differences between studies (additional load vs faster movements) may be explained by the low neuromuscular demand imposed by the external load (5% of participant's body mass), despite the place that it was worn.…”
Section: Discussionmentioning
confidence: 96%
“…Muscle activation, measured by EMG, may vary according to the specific requirements of the task including dynamic vs. isometric muscle contraction mode 10,11 , fast vs. slow movement speed and other demands, e.g., force and internal torques 12 . Indeed, a faster movement speed during swimming exergame has induced greater EMG activity 13 . Thus, wearing additional load while playing different exergames (e.g., dancing and skiing) may present a singular demand that allows one to increase the muscle activity.…”
Section: Introductionmentioning
confidence: 99%
“…It also allows understanding the changes in muscular activity during training and learning adaptations. With higher exergame engagement, muscle activation levels may also increase, and speed-based exergames might be used to create physical demand and to avoid boredom when players' engagements diminish (Soltani et al, 2017a). Twenty subjects played the swimming video game and activation of biceps brachii (BB), triceps brachii (TB), upper trapezius (UT), latissimus dorsi (LD), erector spinae (ES) muscles were monitored in two different playing velocities.…”
Section: Physiological Evaluationmentioning
confidence: 99%