Title :
EEG signal compression with ADPCM subband coding
Author :
Sijercic, Z. ; Agarwal, Gyan ; Anderson, Charles W.
Author_Institution :
Schlumberger Wireline & Testing, Sugar Land, TX, USA
Abstract :
An EEG signal compression method that combines both octave-band filter bank frequency decomposition and coding in subbands using adaptive differential pulse code modulation (ADPCM) is proposed. Besides being computationally effective, this compression method in its simplest form yields 70 % data reductions with very little distortion. Higher compression rates are obtained by increasing the order of the predictor used
Keywords :
band-pass filters; data compression; differential pulse code modulation; electroencephalography; medical signal processing; prediction theory; time-frequency analysis; ADPCM subband coding; EEG signal compression; compression method; compression rates; data reductions; electrodiagnostics; frequency decomposition; octave-band filter bank; predictor order; subband coding; Delay effects; Electroencephalography; Filter bank; Frequency; IIR filters; Pulse compression methods; Pulse modulation; Rhythm; Sampling methods; Signal synthesis;
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
DOI :
10.1109/MWSCAS.1996.587840
