脑电信号的分段处理

时间:2022-05-24 03:44:11
【文件属性】:
文件名称:脑电信号的分段处理
文件大小:943B
文件格式:M
更新时间:2022-05-24 03:44:11
脑电信号 matlab 脑电信号的分段处理, %分段 clear; sub_name={ % 'mgh_1_1','mgh_1_2','mgh_1_3'};%改名字 % 'kzh_1_1','kzh_1_2','kzh_1_3'}; 'mgh_1_1','mgh_1_2','mgh_1_3'}; % 'hcl_3_1','hcl_3_2','hcl_3_3','gxj_4_1','gxj_4_2','gxj_4_3',... % 'gy_5_1','gy_5_2','gy_5_3'}; % 'mss_5_1','mss_5_2','mss_5_3','yyp_6_1','yyp_6_2','yyp_6_3',... % 'gy_7_1','gy_7_2','gy_7_3','yym_8_1','yym_8_2','yym_8_3',... % 'zsn_9_1','zsn_9_2','zsn_9_3','mgh_10_1','mgh_10_2','mgh_10_3'};%改名字 for i=1:3几组数据 sub=strcat(sub_name{i},'.set'); %不改 sub_save=strcat(sub_name{i},'_epoch.set'); %不改 EEG = pop_loadset('filename',sub,'filepath','D:\BISHE\REST-RUNICA-LS\');%改路径 EEG = eeg_checkset( EEG ); EEG = eeg_regepochs(EEG, 'recurrence', 2, 'limits',[0 2], 'rmbase',NaN); EEG = pop_saveset( EEG, 'filename',sub_save,'filepath','D:\BISHE\FENDUAN-LS\');%保存,改路径 EEG = eeg_checkset( EEG ); end

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