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Yekai Wang's study integrates cardiopulmonary, neuromuscular, and biomechanical data from 20 healthy collegiate male athletes performing high-intensity treadmill exercise. The dataset includes gas exchange, heart rate, perceived exertion, sEMG metrics from four leg muscles, and plantar kinetic measures from in-shoe sensors. It provides a structured framework for analyzing fatigue-related adaptations beyond metabolic indicators.
Primary data is contained in a 49.3 KB DOCX file, which is a document format not a structured table; users may need to extract tabular data manually. License is CC BY 4.0.