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YominE
/

Muscle_Fatigue_Cycling

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Time Series Forecasting

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Dataset card Data Studio Files Files and versions

YominE commited on Dec 13, 2024

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@@ -21,19 +21,19 @@ The dataset consists of 8 EMG signals recorded from the domineering foot of each
 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

 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