EEG data compression
LE3 .A278 2012
2012
Diamond, Jim
Acadia University
Bachelor of Computer Science
Honours
Computer Science
Electroencephalography (EEG) is the recording of the brain's electrical activity at the scalp. EEG data is widely used by physicians and researchers for several types of medical tests and psychological research. EEG is also very popular in the emerging eld of Brain Computer Interfaces, as evidenced by the current availability of several consumer-level EEG recording devices. EEG recordings can produce a lot of data. This data requires a lot of storage space and transmission time. One solution to this problem is data compression. This thesis presents a new approach to EEG data compression using audio compression techniques. Digital signal ltering is used as a way of increasing the performance of the compression at the cost of losing some information. The results are compared to the compression results obtained when using some generic compression software. When an appropriate lter is used, audio compression provides very good com- pression performance for EEG data, especially data recorded at high sampling rates. This method produced compressed EEG les which were 15{30% of the original size. This is superior to the generic compression algorithms which produced les which were 50{100% of the original size.
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https://scholar.acadiau.ca/islandora/object/theses:921
