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A mathematical model to predict Transition-to-Fatigueduring isometric exercise on muscles of the lower extremities

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NIAID Data Ecosystem2026-05-01 收录
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https://data.mendeley.com/datasets/6ym99x2y8d
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Some students have request the data set for this research published on Scientific Research as free download in the link: https://www.scirp.org/journal/PaperInformation.aspx?PaperID=26740. To re-create the importance to identify transitional muscle fatigue stage, because make possible to predict when muscle fatigue will occur, which provides the foundation of the automated system that has the potential to aid in many applications of our lives, including sports, rehabilitation, ergonomics and even neuropathy formation on legs.

已有学生请求将本研究的数据集于《科研》(Scientific Research)期刊上以免费下载形式公开,下载链接为:https://www.scirp.org/journal/PaperInformation.aspx?PaperID=26740。本研究旨在凸显识别肌肉疲劳过渡阶段的重要性:精准识别该阶段可实现肌肉疲劳发生时机的预测,进而为自动化系统的研发奠定基础。此类自动化系统有望在诸多日常生活场景中发挥辅助作用,涵盖运动康复、人机工效学乃至腿部神经病变防控等领域。
创建时间:
2023-07-17
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