HDF5 read benchmark simulating I/O behavior of ECoG dataset analytics.
Group '/Descriptors' Dataset 'ECoG_Fs' (Sampling rate of ECoG data) Dataset 'ELoc_CMF' (vector of electrodes associated with area CMF of the brain) Dataset 'ELoc_MTG' (vector of electrodes associated with area MTG of the brain) Dataset 'ELoc_SMG' (vector of electrodes associated with area SMG of the brain) Dataset 'ELoc_STG' (vector of electrodes associated with area STG of the brain) Dataset 'ELoc_parsO' (vector of electrodes associated with area parsO of the brain) Dataset 'ELoc_postCG' (vector of electrodes associated with area postCG of the brain) Dataset 'ELoc_preCG' (vector of electrodes associated with area preCG of the brain)
1756 events, each with one trial type Use 'Event_ECoGIndx' to find actual offsets in data, 'Event_EIndx' identifies the trial type of the event( and Event_ELbls is the name).
Dataset 'Event_ECoGIndx' Size: 2x1756 (array onsets and offsets for the different ’trials’)
Dataset 'Event_EIndx' (vector of indices for trial type)
Dataset 'Event_ELbls' (string of trial names associated with indices in ‘Event_EIndx’