Datasets:
Update README.md
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README.md
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@@ -21,19 +21,19 @@ The dataset consists of 8 EMG signals recorded from the domineering foot of each
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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.
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**FEATURES**
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Time
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Right Rectus femoris
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Left Gluteus maximus
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Left Gastrocnemius medialis
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Left Semitendinosus
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Left Biceps femoris caput longus
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Right Vastus medialis
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Right Tibialis anterior
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Left Gastrocnemius lateralis
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**TARGETS**
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0-No Fatigue
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1-Transition To Fatigue
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2-Fatigue
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By: Yomin Jaramillo M
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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.
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**FEATURES**
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- Time
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- Right Rectus femoris
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- Left Gluteus maximus
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- Left Gastrocnemius medialis
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+
- Left Semitendinosus
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- Left Biceps femoris caput longus
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+
- Right Vastus medialis
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+
- Right Tibialis anterior
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- Left Gastrocnemius lateralis
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**TARGETS**
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- 0-No Fatigue
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- 1-Transition To Fatigue
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- 2-Fatigue
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By: Yomin Jaramillo M
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