title: [An EEG compression algorithm based on embedded zerotree wavelet (EZW)].
abstract: OBJECTIVE
  To study algorithm with high speed and high compression ratio for EEG signal.
  
  
  METHODS
  A wavelet compression algorithm for ECG based on EZW (embedded zerotree wavelet) coding was presented.
  
  
  RESULTS
  The result of the experiment showed that the algorithm is simple and fast. It can achieve high compression ratio and fidelity.
  
  
  CONCLUSIONS
  The algorithm with high speed and high compression is very effective.
authors.forename: Miao
authors.initials: M
authors.lastname: Lu
authors.forename: Wei-dong
authors.initials: WD
authors.lastname: Zhou
mesh_terms: D000465:Algorithms; D004569:Electroencephalography; D005069:Evaluation Studies as Topic; D012815:Signal Processing, Computer-Assisted