Duplicate from YominE/Muscle_Fatigue_Cycling

Co-authored-by: YominJaramilloM <YominE@users.noreply.huggingface.co>

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README.md

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+---
+license: cc-by-4.0
+language:
+- en
+- es
+tags:
+- fatigue
+- muscle
+- EMG
+- Cycling
+- Biomedical
+- time-series
+pretty_name: Muscle Fatigue in Cyclist
+task_categories:
+- time-series-forecasting
+---
+
+This dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.
+
+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."
+
+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.
+
+**FEATURES**
+- Time
+- Right Rectus femoris
+- Left Gluteus maximus
+- Left Gastrocnemius medialis
+- Left Semitendinosus
+- Left Biceps femoris caput longus
+- Right Vastus medialis
+- Right Tibialis anterior
+- Left Gastrocnemius lateralis
+
+**TARGETS**
+- 0-No Fatigue
+- 1-Transition To Fatigue
+- 2-Fatigue
+
+By: Yomin Jaramillo M