This study aimed to identify useful electronic grip dynamometry parameters to track differences between trained (TR) and untrained (UT) participants, and between dominant (DO) and non-dominant (ND) limbs as a consequence of upper limbs muscle fatigue following 10 RM tests of the brachial biceps. This experimental study with transversal design involved 18 young adult males, of whom 9 were untrained and 9 were experienced in resistance training.Isometric grip force was evaluated (30 seconds long) previous and after 10RM tests by means of a G200 Model grip dynamometer with precision load cell (Biometrics(r)). Significant differences between initial and final measurements were found only for trained participants: Peak force for TR-DO (67.1 vs 55.5 kgf, p = .0277); Raw average for TR-DO (46.96 vs 42.22 kgf, p = .0464), and for TR-ND (40.34 vs 36.13 kgf, p = .0277). Electronic grip dynamometry efficiently identified upper limbs fatigue in trained participants, being raw average measurements the best parameter.
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机译：这项研究旨在确定有用的电子握力测功参数，以跟踪受过训练的（TR）和未经训练的（UT）参与者之间，以及由于10 RM后上肢肌肉疲劳而导致的优势（DO）和非优势（ND）肢体之间的差异。肱二头肌的测试。这项横向设计的实验研究涉及18位年轻成年男性，其中9位未经训练，并且9位经历过阻力训练。在之前和之后的10RM测试中，均使用G200 Model握力测力计对等距握力进行了评估（30秒长）称重传感器（Biometrics（r））。仅对于受过训练的参与者，发现初始和最终测量之间存在显着差异：TR-DO的峰值力（67.1 vs 55.5 kgf，p = .0277）; TR-DO的原始平均值（46.96 vs 42.22 kgf，p = .0464），TR-ND（40.34 vs 36.13 kgf，p = .0277）。电子握力测功可以有效地识别训练有素的参与者的上肢疲劳，这是原始平均测量值的最佳参数。
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