EEG and Audio data are very similar, both
- are numerical samples in continuous sequence
- have a sample rate
- need and can have multiple channels
- channels for multi-channel audio
- channels for each electrode
- have predictable characteristics that are exploitable for compression.
FLAC is specifically designed for efficient packing of audio data, unlike general-purpose lossless algorithms such as DEFLATE, which is used in ZIP and gzip. While ZIP may reduce the size of a CD-quality audio file by 10–20%, FLAC is able to reduce the size of audio data by 40–50% by taking advantage of the characteristics of audio.
is there a standard loseless compression coding format for EEG data, that takes advantage of the characteristics of EEG, like FLAC takes advantage of the characteristics of audio?