2 OpenViBE Designer 3.1.0 (0x000014bf, 0x000034db) Identity (0x5dffe431, 0x35215c50) (0x5ba36127, 0x195feae1) Input stream 1 (0x5ba36127, 0x195feae1) Input stream 2 (0x6f752dd0, 0x082a321e) Input stream 3 (0x5ba36127, 0x195feae1) Output stream 1 (0x5ba36127, 0x195feae1) Output stream 2 (0x6f752dd0, 0x082a321e) Output stream 3 (0x17ee7c08, 0x94c14893) (0x1fa7a38f, 0x54edbe0b) 384 (0x207c9054, 0x3c841b63) 928 (0x30a4e5c9, 0x83502953) (0x4e7b798a, 0x183beafb) (0xa8ffe2a3, 0x27038f03) (0x527ad68d, 0x16d746a0) (0xac367a9c, 0x2da95abe) 6 (0xfba64161, 0x65304e21) (0x00003f1b, 0x00003c78) Signal Decimation (0x012f4bea, 0x3be37c66) (0x5ba36127, 0x195feae1) Input signal (0x5ba36127, 0x195feae1) Output signal (0x007deef9, 0x2f3e95c6) Decimation factor 8 ${SIGNAL_DECIMATION_FACTOR} false (0x1fa7a38f, 0x54edbe0b) 288 (0x207c9054, 0x3c841b63) 848 (0x4e7b798a, 0x183beafb) (0x5082af41, 0xd0fbf4cb) (0x0000556f, 0x000055f8) Temporal filter (0xb4f9d042, 0x9d79f2e5) (0x5ba36127, 0x195feae1) Input signal (0x5ba36127, 0x195feae1) Filtered signal (0x2f2c606c, 0x8512ed68) Filter method Butterworth ${FILTER_METHOD} false (0xfa20178e, 0x4cba62e9) Filter type Low pass ${FILTER_TYPE} false (0x007deef9, 0x2f3e95c6) Filter order 4 ${FILTER_ORDER} false (0x512a166f, 0x5c3ef83f) Low cut frequency (Hz) 29 ${LOW_CUT_FREQUENCY} false (0x512a166f, 0x5c3ef83f) High cut frequency (Hz) 40 ${HIGH_CUT_FREQUENCY} false (0x512a166f, 0x5c3ef83f) Pass band ripple (dB) 0.5 ${PASS_BAND_RIPPLE} false (0x1fa7a38f, 0x54edbe0b) 224 (0x207c9054, 0x3c841b63) 848 (0x4e7b798a, 0x183beafb) (0x27a4ceec, 0x876d6384) (0x00005c5c, 0x00007610) Raw (0x0055be5f, 0x087bdd12) (0x5ba36127, 0x195feae1) Data (0x6f752dd0, 0x082a321e) Stimulations (0x6ab26b81, 0x0f8c02f3) Channel Units (0x5de046a6, 0x086340aa) Display Mode Scan Scan false (0x33a30739, 0x00d5299b) Auto vertical scale Per channel Per channel false (0x512a166f, 0x5c3ef83f) Scale refresh interval (secs) 5 5 false (0x512a166f, 0x5c3ef83f) Vertical Scale 100 100 false (0x512a166f, 0x5c3ef83f) Vertical Offset 0 0 false (0x512a166f, 0x5c3ef83f) Time Scale 10 10 false (0x2cdb2f0b, 0x12f231ea) Horizontal ruler true true false (0x2cdb2f0b, 0x12f231ea) Vertical ruler false false false (0x2cdb2f0b, 0x12f231ea) Multiview false false false (0x1fa7a38f, 0x54edbe0b) 512 (0x207c9054, 0x3c841b63) 1024 (0x4e7b798a, 0x183beafb) (0x92c056a7, 0x2dc71aff) (0x527ad68d, 0x16d746a0) (0xc73e83ec, 0xf855c5bc) false (0xce18836a, 0x9c0eb403) 9 (0xcfad85b0, 0x7c6d841c) 3 (0x00006b6d, 0x00002690) Acquisition client (0x35d225cb, 0x3e6e3a5f) (0x403488e7, 0x565d70b6) Experiment information (0x5ba36127, 0x195feae1) Signal stream (0x6f752dd0, 0x082a321e) Stimulations (0x013df452, 0xa3a8879a) Channel localisation (0x6ab26b81, 0x0f8c02f3) Channel units (0x79a9edeb, 0x245d83fc) Acquisition server hostname ${AcquisitionServer_HostName} ${ACQUISITION_SERVER_HOST_NAME} false (0x007deef9, 0x2f3e95c6) Acquisition server port 1024 ${ACQUISITION_SERVER_PORT} false (0x1fa7a38f, 0x54edbe0b) 128 (0x207c9054, 0x3c841b63) 928 (0x4e7b798a, 0x183beafb) (0x0d4656c0, 0xc95b1fa8) (0xc73e83ec, 0xf855c5bc) false (0xc80ce8af, 0xf699f813) 5 (0xce18836a, 0x9c0eb403) 2 (0x00007e4e, 0x00006b7b) Filtered (0x0055be5f, 0x087bdd12) (0x5ba36127, 0x195feae1) Data (0x6f752dd0, 0x082a321e) Stimulations (0x6ab26b81, 0x0f8c02f3) Channel Units (0x5de046a6, 0x086340aa) Display Mode Scan Scan false (0x33a30739, 0x00d5299b) Auto vertical scale Per channel Per channel false (0x512a166f, 0x5c3ef83f) Scale refresh interval (secs) 5 5 false (0x512a166f, 0x5c3ef83f) Vertical Scale 100 100 false (0x512a166f, 0x5c3ef83f) Vertical Offset 0 0 false (0x512a166f, 0x5c3ef83f) Time Scale 10 10 false (0x2cdb2f0b, 0x12f231ea) Horizontal ruler true true false (0x2cdb2f0b, 0x12f231ea) Vertical ruler false false false (0x2cdb2f0b, 0x12f231ea) Multiview false false false (0x1fa7a38f, 0x54edbe0b) 512 (0x207c9054, 0x3c841b63) 832 (0x4e7b798a, 0x183beafb) (0x92c056a7, 0x2dc71aff) (0x527ad68d, 0x16d746a0) (0xc73e83ec, 0xf855c5bc) false (0xce18836a, 0x9c0eb403) 9 (0xcfad85b0, 0x7c6d841c) 3 (0x000003a7, 0x000034db) (0x000014bf, 0x000034db) 2 (0x00005c5c, 0x00007610) 1 (0x00000554, 0x0000661a) (0x000014bf, 0x000034db) 2 (0x00007e4e, 0x00006b7b) 1 (0x00001d33, 0x00002bb0) (0x00006b6d, 0x00002690) 2 (0x000014bf, 0x000034db) 2 (0x00003f04, 0x000045c3) (0x000014bf, 0x000034db) 1 (0x00005c5c, 0x00007610) 0 (0x00004b11, 0x00006a43) (0x00003f1b, 0x00003c78) 0 (0x000014bf, 0x000034db) 0 (0x000056fd, 0x00004795) (0x000014bf, 0x000034db) 0 (0x00007e4e, 0x00006b7b) 0 (0x000057ad, 0x000024cb) (0x0000556f, 0x000055f8) 0 (0x00003f1b, 0x00003c78) 0 (0x00005e38, 0x00005c99) (0x00006b6d, 0x00002690) 1 (0x000014bf, 0x000034db) 1 (0x000073ac, 0x0000581b) (0x00006b6d, 0x00002690) 1 (0x0000556f, 0x000055f8) 0 (0x000028e8, 0x00003dee) <big>Scenario Overview</big> This scenario can be used in order to check the quality of the signals before starting an experiment. One should definitely check the quality of the signals and ensure that : - eye blinks are visible - jaw clenching are visible - alpha waves are visible when closing eyes Two Signals are displayed, one is the raw EEG-Signal and the other one is the filtered signal. The filtered signal is the one, that will actually be used in other scenarios. (0x473d9a43, 0x97fc0a97) 576 (0x7234b86b, 0x2b8651a5) 272 (0x0000775c, 0x000078ff) (0x3bcce5d2, 0x43f2d968) [{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"height":635,"identifier":"(0x000077ee, 0x0000254d)","name":"default","parentIdentifier":"(0xffffffff, 0xffffffff)","type":1,"width":783},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"identifier":"(0x00004579, 0x00005fcb)","index":0,"name":"Default tab","parentIdentifier":"(0x000077ee, 0x0000254d)","type":2},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":2,"dividerPosition":293,"identifier":"(0x00005446, 0x000043a1)","index":0,"maxDividerPosition":590,"name":"Vertical split","parentIdentifier":"(0x00004579, 0x00005fcb)","type":4},{"boxIdentifier":"(0x00005c5c, 0x00007610)","childCount":0,"identifier":"(0x00000e42, 0x000074b8)","index":0,"parentIdentifier":"(0x00005446, 0x000043a1)","type":3},{"boxIdentifier":"(0x00007e4e, 0x00006b7b)","childCount":0,"identifier":"(0x00005db7, 0x000032ad)","index":1,"parentIdentifier":"(0x00005446, 0x000043a1)","type":3}] (0x790d75b8, 0x3bb90c33) Yann Renard (0x8c1fc55b, 0x7b433dc2) (0x9f5c4075, 0x4a0d3666) Signal Monitoring (0xf36a1567, 0xd13c53da) http://openvibe.inria.fr/p300-speller-xdawn/ (0xf6b2e3fa, 0x7bd43926) xDAWN P300 Speller (0xf8034a49, 0x8b3f37cc) INRIA