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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ - es
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+ tags:
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+ - fatigue
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+ - muscle
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+ - EMG
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+ - Cycling
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+ - Biomedical
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+ pretty_name: Muscle Fatigue in Cyclist
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+ ---
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+
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+ This dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.
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+ The dataset consists of 8 EMG signals recorded from the domineering foot of each participant during a cycling trial. The participants performed exercises on a conditioned cycle, alternating with short periods of high-intensity sprints. When a participant could no longer sustain the sprint intensity, this was considered the first index of fatigue and was labeled as "Transition-to-Fatigue." If the participant was unable to continue the base exercise, it was labeled as "Fatigue."
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+ For this dataset, it is recommended to work with binary classification models, taking the "Transition-to-Fatigue" state as the positive class, as the data in the "Fatigue" class is significantly limited.