示例#1
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def Compute_electrode_welch(single_electrode):
    all_psd = []
    global FREQS
    for epoch in single_electrode:
        all_psd.append(my_welch(epoch, fs  = 500)[1][0,:])
        freqs = my_welch(epoch, fs  = 500)[0]

    all_psd = np.array(all_psd)
    FREQS = freqs
    return all_psd
示例#2
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def Compute_electrode_welch(single_electrode):
    all_psd = []
    global FREQS
    for epoch in single_electrode:
        all_psd.append(my_welch(epoch, fs=500)[1][0, :])
        freqs = my_welch(epoch, fs=500)[0]

    all_psd = np.array(all_psd)
    FREQS = freqs
    return all_psd
示例#3
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def Compute_electrode_welch(single_electrode):
    """
    Take the average from a single electrode from all trials. Changed from independent analysis version where
    the average was taken only before plotting in a downstream function Plot_electrode_welch
    """
    all_psd = []
    global FREQS
    for epoch in single_electrode:
        freqs, power = my_welch(epoch, fs  = 500, nperseg =256, nfft = 256, noverlap = 128)
        #power[0,:], changes a shape so then the np.array easilly converts it so that each row is a single trial fft
        all_psd.append(power[0,:])
    all_psd = np.array(all_psd)
    FREQS = freqs
    return np.mean(all_psd, axis = 0)
示例#4
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def Compute_electrode_welch(single_electrode):
    """
    Take the average from a single electrode from all trials. Changed from independent analysis version where
    the average was taken only before plotting in a downstream function Plot_electrode_welch
    """
    all_psd = []
    global FREQS
    for epoch in single_electrode:
        freqs, power = my_welch(epoch, fs  = 500, nperseg =256, nfft = 256, noverlap = 128)
        #why is it [0,:]?, to change the shape?
        all_psd.append(power[0,:])

    all_psd = np.array(all_psd)
    FREQS = freqs[3:36]
    return np.mean(all_psd, axis = 0)[3:36]
示例#5
0
def Compute_electrode_welch(single_electrode):
    """
    Take the average from a single electrode from all trials. Changed from independent analysis version where
    the average was taken only before plotting in a downstream function Plot_electrode_welch
    """
    all_psd = []
    global FREQS
    for epoch in single_electrode:
        freqs, power = my_welch(epoch,
                                fs=500,
                                nperseg=256,
                                nfft=256,
                                noverlap=128)
        #why is it [0,:]?, to change the shape?
        all_psd.append(power[0, :])

    all_psd = np.array(all_psd)
    FREQS = freqs[3:36]
    return np.mean(all_psd, axis=0)[3:36]