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Evaluation of JPEG-2000 Image Compression as Applied to Electroencephalography.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Evaluation of JPEG-2000 Image Compression as Applied to Electroencephalography./
Author:	Tellez, Joshua.
Description:	1 online resource (39 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-12.
Contained By:	Masters Abstracts International84-12.
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9798379733896

Evaluation of JPEG-2000 Image Compression as Applied to Electroencephalography.
Tellez, Joshua.

Evaluation of JPEG-2000 Image Compression as Applied to Electroencephalography. - 1 online resource (39 pages)

Source: Masters Abstracts International, Volume: 84-12.

Thesis (M.S.)--New Mexico State University, 2023.

Includes bibliographical references

In this work our objectives are threefold. First, we provide an overview of experiments which involve applying lossless compression to electroencephalographic (EEG) signals. Namely, we will cover experiments performed by Giuliano Antoniol [3], Justin Dauwels and Kannan Srinivasan [7, 19], and Behzad Hejrati [10]. Next, we perform an experiment where we apply lossless JPEG-2000 compression to EEG signals. We pre-process the EEG data to enable compatibility and assess performance based on achieved compression ratio, computational demand, feature set, and complexity relative to those respectively yielded by methods employed in previous experiments. We propose a simple pre-processing method (jp2-blk) that arranges multi-channel EEG matrices into a blocked form which yields an average 2.267:1 lossless compression ratio over the Brain Computer Interface IV-1 (BCICIV-1) dataset. Lastly, we implement the jp2-blk pre-processing method with the JPEG-2000 codec in OpenBCI, an open-source brain-computer interfacing software, using a widget architecture. With this widget implementation, we introduce the ability to read, write, and browse compressed EEG data files in the native OpenBCI user interface.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379733896Subjects--Topical Terms:

596380
Electrical engineering.
Subjects--Index Terms:

Data compressionIndex Terms--Genre/Form:

554714
Electronic books.

Evaluation of JPEG-2000 Image Compression as Applied to Electroencephalography.
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504 $a Includes bibliographical references
520 $a In this work our objectives are threefold. First, we provide an overview of experiments which involve applying lossless compression to electroencephalographic (EEG) signals. Namely, we will cover experiments performed by Giuliano Antoniol [3], Justin Dauwels and Kannan Srinivasan [7, 19], and Behzad Hejrati [10]. Next, we perform an experiment where we apply lossless JPEG-2000 compression to EEG signals. We pre-process the EEG data to enable compatibility and assess performance based on achieved compression ratio, computational demand, feature set, and complexity relative to those respectively yielded by methods employed in previous experiments. We propose a simple pre-processing method (jp2-blk) that arranges multi-channel EEG matrices into a blocked form which yields an average 2.267:1 lossless compression ratio over the Brain Computer Interface IV-1 (BCICIV-1) dataset. Lastly, we implement the jp2-blk pre-processing method with the JPEG-2000 codec in OpenBCI, an open-source brain-computer interfacing software, using a widget architecture. With this widget implementation, we introduce the ability to read, write, and browse compressed EEG data files in the native OpenBCI user interface.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
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