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The temporal filter should not be a simple Gaussian but a band-pass filter with defined cut-off frequencies. The high-pass component would free us from slow signal drifts (changes in anesthesia, etc?), the low-pass component should help with high-freq (thermal, electrical) noise.
The high-pass would remove the signal's DC offset. Since we're working with UINTS, the average offset would have to be added back in.
The temporal filter should not be a simple Gaussian but a band-pass filter with defined cut-off frequencies. The high-pass component would free us from slow signal drifts (changes in anesthesia, etc?), the low-pass component should help with high-freq (thermal, electrical) noise.
The high-pass would remove the signal's DC offset. Since we're working with UINTS, the average offset would have to be added back in.
The filter design should not rely on an additional toolbox (a potential candidate)
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