We?re attempting to read large EDF files on a server at the Boston Children?s Hospital epilepsy center. Many of the files are discontinuous, meaning that they have time gaps in the time series. We need to pull out 30-second segments at specific time points.
The questions:
1) Do discontinuous (EDF+D) files contain time information at all the gaps to enable a specific time segment to be extracted?
2) Related: what MNE methods do this? (I wasn?t able to find this in the docs; if I did, it would probably answer question #1)
1) Do discontinuous (EDF+D) files contain time information at all the gaps
to enable a specific time segment to be extracted?
I would be surprised if they did not, but don't know the format enough to
know.
2) Related: what MNE methods do this? (I wasn?t able to find this in the
docs; if I did, it would probably answer question #1)
In MNE we call these gaps "aquisition skips". Typically we get these with
Neuromag files. They get stored in the `raw.annotations` object, and you
see them when doing `raw.plot` and similar operations. But it's most likely
not implemented properly for EDF yet.
If you can do a short on-off type recording -- maybe 2 sec on, 2 off, 3 on,
3 off, 3 on or so? -- even without a subject capped, we could look at how
to read this file properly in MNE (please open an issue and provide a link
to such a file).