Update README.md

README.md

@@ -10,10 +10,30 @@ tags:
 - Cycling
 - Biomedical
 pretty_name: Muscle Fatigue in Cyclist
+task_categories:
+- token-classification
 ---
 
 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.
+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