BrainQ App version ( core functions are in BrainQ1 repository) - LilyHeAsamiko/BrainQ2 GitHub Wiki

Welcome to the BrainQ2 wiki! Two videos showing the usage of it: https://drive.google.com/open?id=1upNAzZxgf8WhTNGtq1tldqaynametda0(functions) https://drive.google.com/open?id=17tVZYU7MW4CCAe1UmWlIHf531_euk1vH(display).

Find whole package here: https://tuni-my.sharepoint.com/:f:/g/personal/qin_he_tuni_fi/EmIQcE-Up5BPq5rZBXR-0JoB2fLpIB32yuKIKxCGPaMrZA?e=hURk79 Data:(Complete data please find in the second link. They are too large to be uploaded here.)

  1. zef_eeg ( include the measurement results of the effective 71 electrodes)
  2. zef_meg ( include the measurement results of the effective 271 coils.)
  3. data1 ( 3200 samples combining EEG and MEG.)
  4. data2 ( 64 samples combining EEG and MEG.)

Important variables of our interests: zef_EEG_measurements (71 * 360); More reliable at superficial channels zef_MEG_measurements (271 * 360); More robust to noise zef_EEG_sensors (coordinates are in the first three dimensions); zef_MEG_sensors (coordinates are in the first three dimensions);

Precprocessing:

  1. 1-120 ms samples are selected to be calculated as the pre-stimuli baseline.
  2. z-transform and L-transform can be implied for stationary time series analysis. Time to frequency domain:
  3. FFT with sliding window
  4. FFT with hanning window

Functional analysis:

  1. Coherence with magnitude square spectrum
  2. Transfer matrix (inverse) matrix
  3. Granger prediction approximation with PDC and DTF
  4. Sensor spectral analysis
  5. Spatial spectral analysis

Localization(results from zeffiro visualized and evaluated): 1.Grouped scatter of theta0(Y1 for data1, Y2 for data2), location(Y11 for data1, Y21 for data2),hyperprior(Y12 for data1, Y22 for data2), noise(Y13 for data1, Y23 for data2) 2.location prediction by SVM 3.theta 0 of inverse results evaluated by SVM

Articles: https://drive.google.com/file/d/1PmD1cDCWHdX73fL5coMF8qa2zhDSZ9ui/view?usp=sharing https://drive.google.com/file/d/1ldE0rynZRohdZkFxR-Dn1FqOerdm9bF4/view?usp=sharing https://drive.google.com/file/d/1HDyi1yJKnPz0cvJPOt-cK0qkcKs6KG4V/view?usp=sharing https://drive.google.com/file/d/15Jft4raTKGcsZDXRbp8i0zJBNgVvJoTy/view?usp=sharing https://drive.google.com/file/d/1b1PfjHf_1odgdJvIw10U3GbSq8I-ZGmQ/view?usp=sharing