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General: How to deal with 1/f nature of brain oscillations in the low frquency range?

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    Dear all,
    I work with low frequency oscillations of the brain while a human subject is cognitively engaged in a task. From the off-line analysis (using zero-phase band pass FIR filters), I discovered that task-related cognitive signals are located in the range of [0.2 0.3]Hz and in [0.6 0.8]Hz. The fluctuations/oscillations below 0.2Hz is a REAL devil due to 1/f nature ( the noise power is ~100 times higher than signal's power).

    Now as for my experimental demands, I need to estimate online in real-time the signals mentioned in the above range and manipulate stimulus presentation. This eventually means I need to have a very sharp high pass filter with almost zero group/phase delay. Which sounds impossible!

    However, I should come up with a decent trade of between SNR and phase-delay. Do you have any suggestions? All suggestions ranging from signal processing/machine learning/hardware to solve this problem is most well come!

    Thanks in advance!
    Sincerely,
    Gangadhar GARIPELLI

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