Datasets:
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Time
float64 0
1.74k
| Right Rectus femoris
float64 -0.84
0.99
| Left Gluteus maximus
float64 -1.12
1.06
| Left Gastrocnemius medialis
float64 -1.75
1.61
| Left Semitendinosus
float64 -1.58
0.87
| Left Biceps femoris caput longus
float64 -0.75
0.84
| Right Vastus medialis
float64 -1.22
1.08
| Right Tibialis anterior
float64 -1.3
1.34
| Left Gastrocnemius lateralis
float64 -1.2
0.94
| Target
int64 0
2
|
|---|---|---|---|---|---|---|---|---|---|
0
| -0.000264
| -0.000015
| 0.000344
| 0.000108
| 0.000182
| 0.000401
| 0.000267
| -0.000236
| 0
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0.001
| -0.001002
| -0.000045
| 0.001342
| 0.000429
| 0.000712
| 0.002234
| 0.001234
| -0.001108
| 0
|
0.002
| -0.002173
| -0.000034
| 0.002944
| 0.001133
| 0.001692
| 0.007634
| 0.003457
| -0.003277
| 0
|
0.003
| -0.002676
| 0.000185
| 0.003504
| 0.002319
| 0.00282
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| 0
|
0.004
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| 0
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0.005
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0.006
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0.007
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0.008
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0.009
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0.01
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0.011
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0.012
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0.013
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| 0
|
0.014
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0.015
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0.016
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0.02
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| 0
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0.021
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0.022
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0.023
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| 0
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0.024
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0.025
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0.026
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0.027
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0.028
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0.029
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0.03
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0.031
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0.032
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0.033
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0.035
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0.036
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0.037
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0.042
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0.043
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0.044
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0.046
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0.047
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0.058
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0.059
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0.06
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0.061
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0.062
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0.065
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0.066
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0.067
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0.068
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0.069
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0.07
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0.071
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0.073
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0.074
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0.075
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0.076
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|
0.077
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|
0.078
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0.079
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|
0.08
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0.081
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|
0.082
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|
0.083
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|
0.084
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|
0.085
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|
0.086
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|
0.087
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|
0.088
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| 0
|
0.089
| 0.008515
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| 0
|
0.09
| 0.01654
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| 0.00424
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|
0.091
| 0.02326
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| 0.049451
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| 0
|
0.092
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|
0.093
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| 0
|
0.094
| 0.018368
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|
0.095
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0.096
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0.097
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|
0.098
| -0.013627
| 0.004586
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| -0.024832
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| 0.00862
| -0.020822
| 0
|
0.099
| -0.018945
| 0.003222
| -0.019665
| -0.020513
| -0.030899
| 0.018329
| 0.009568
| -0.017435
| 0
|
End of preview. Expand
in Data Studio
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
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