import scipy.io as scio
data_raw = scio.loadmat('.mat_file_path')
data_raw_1 = data_raw['file_name']#提取.mat文件中的数据，与字典操作相同。
data_raw_1 = data_raw_1.flatten()#将多维数组拉伸成一维数组

for i in np.arange(0,numbers_of_sample):
    signal_sample_list_A1.append(data_X137_FE_time[i * sample_length : (i + 1) * sample_length])
    signal_sample_list_A2.append(data_X137_DE_time[i * sample_length : (i + 1) * sample_length])
    signal_sample_list_A12 = signal_sample_list_A1 + signal_sample_list_A2
signal_sample_list_A12 = np.array(signal_sample_list_A12).T