EEG Signal Compression using Fuzzy Transform

A compression algorithm based on fuzzy transform (FT) is presented in this paper for electroencephalogram (EEG) signals. A fuzzy-based mathematical kernel is exploited which transforms the data into a new domain where their cardinality can be reduced to allow the development of efficient data compression algorithms. The presented method, which is assessed using different EEG signals, achieves good compression ratios (CR) with minimum distortion.