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basically i need your help to pre-process signal data
- convert time based to frequency based
- filter 0.5Hz - 50Hz
- remove any artifacts
- divide the signal into four bands (alpha, beta, theta, delta)
then, by using neural network
- train the clean data in order to detect fatigue pattern
- test other data
later, use fuzzy inference to determine the level of fatigue using the four bands
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