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beacon-biosignals / Onda.jl

A Julia package for high-throughput manipulation of structured signal data across arbitrary domain-specific encodings, file formats and storage layers
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Preprocess and analyze EEG data stored in the format being specified as Onda? #110

Closed likanzhan closed 2 years ago

likanzhan commented 2 years ago

I'm not sure whether this is an appropriate place to mention this.

Suppose I have read my EEG data as a Onda samples data and a annotation data. Is there an easy way to do some follow-up typical preprocessing and statistical analyses of these data? such as epoching, re-reference, downsampling etc?

Thanks.

jrevels commented 2 years ago

Sorry for the slow response turnaround, just saw this!

Is there an easy way to do some follow-up typical preprocessing and statistical analyses of these data? such as epoching, re-reference, downsampling etc?

Onda itself provides a codec/file/storage interface for general LPCM data, but is agnostic to any particular sensor modality (e.g. EEG) and is subsequently agnostic to your choice of analysis tool.

For example, sample data represented as a normal Julia AbstractArray, so you would basically use your preferred tooling for manipulating AbstractArrays.

At Beacon, we make heavy use of https://github.com/JuliaDSP/DSP.jl, https://github.com/beacon-biosignals/PyMNE.jl and the Tables.jl ecosystem for processing. See the tour.jl for some really basic transformations using DataFrames.jl.