Evaluation of JPEG-2000 Image Compression as Applied to Electroencephalography
Author
Tellez, JoshuaAdvisor
Creusere, Charles D.Affiliation
Klipsch School of Electrical and Computer Engineering, New Mexico State UniversityIssue Date
2022-10
Metadata
Show full item recordCitation
Tellez, J. (2022). Evaluation of JPEG-2000 Image Compression as Applied to Electroencephalography. International Telemetering Conference Proceedings, 57.Additional Links
http://www.telemetry.org/Abstract
In this paper we present an experiment utilizing the JPEG-2000 image compression standard to compress multi-channel electroencephalographic (EEG) signals at a lossless quality. We employ multiple pre-processing methods and assess their performance based on achieved compression ratio, computational demand, feature set, and complexity relative to existing methods from several related published works. We propose a simple pre-processing method that arranges multi-channel EEG matrices into a blocked form which yields an average 2.267:1 lossless compression ratio for the Brain Computer Interface IV-1 (BCICIV-1) dataset.Type
Proceedingstext
Language
enISSN
1546-21880884-5123
0074-9079