Optimal transform of multichannel evoked neural signals using a video compression algorithm

Chen Han Chung; Liang Gee Chen; Yu Chieh Kao; Fu Shan Jaw

doi:10.1109/ICBBE.2009.5163149

Optimal transform of multichannel evoked neural signals using a video compression algorithm

Chen Han Chung, Liang Gee Chen, Yu Chieh Kao, Fu Shan Jaw

Department of Biomedical Imaging and Radiological Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

One of the most important problems in the field of biomedical engineering is how to record a multichannel neural signal. This problem arises because recording produces a large amount of data that must be reduced to transfer it through wireless transmission, and data reduction must be made without compromising data quality. Video compression technology is very important in the field of signal processing, and there are many similarities between multichannel neural signals and video signals. Therefore, we use motion vectors (MVs) to reduce the redundancy between successive video frames and successive channels. We also test what transform for neural signal compression is best. Our novel signal compression method gives a signal-to-noise ratio (SNR) of 25 db and compresses data to 5% of the original signal.

Original language	English
Title of host publication	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
DOIs	https://doi.org/10.1109/ICBBE.2009.5163149
State	Published - 2009
Event	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, China Duration: 11 Jun 2009 → 13 Jun 2009

Publication series

Name	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Conference

Conference	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
Country/Territory	China
City	Beijing
Period	11/06/09 → 13/06/09

Keywords

Biomedical signal processing
Multielectrode signals
Video signal processing

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10.1109/ICBBE.2009.5163149

Cite this

Chung, C. H., Chen, L. G., Kao, Y. C., & Jaw, F. S. (2009). Optimal transform of multichannel evoked neural signals using a video compression algorithm. In 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 Article 5163149 (3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009). https://doi.org/10.1109/ICBBE.2009.5163149

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title = "Optimal transform of multichannel evoked neural signals using a video compression algorithm",

abstract = "One of the most important problems in the field of biomedical engineering is how to record a multichannel neural signal. This problem arises because recording produces a large amount of data that must be reduced to transfer it through wireless transmission, and data reduction must be made without compromising data quality. Video compression technology is very important in the field of signal processing, and there are many similarities between multichannel neural signals and video signals. Therefore, we use motion vectors (MVs) to reduce the redundancy between successive video frames and successive channels. We also test what transform for neural signal compression is best. Our novel signal compression method gives a signal-to-noise ratio (SNR) of 25 db and compresses data to 5% of the original signal.",

keywords = "Biomedical signal processing, Multielectrode signals, Video signal processing",

author = "Chung, {Chen Han} and Chen, {Liang Gee} and Kao, {Yu Chieh} and Jaw, {Fu Shan}",

year = "2009",

doi = "10.1109/ICBBE.2009.5163149",

language = "English",

isbn = "9781424429028",

series = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009",

booktitle = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009",

note = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 ; Conference date: 11-06-2009 Through 13-06-2009",

}

Chung, CH, Chen, LG, Kao, YC & Jaw, FS 2009, Optimal transform of multichannel evoked neural signals using a video compression algorithm. in 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009., 5163149, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, Beijing, China, 11/06/09. https://doi.org/10.1109/ICBBE.2009.5163149

Optimal transform of multichannel evoked neural signals using a video compression algorithm. / Chung, Chen Han; Chen, Liang Gee; Kao, Yu Chieh et al.
3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009. 2009. 5163149 (3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - One of the most important problems in the field of biomedical engineering is how to record a multichannel neural signal. This problem arises because recording produces a large amount of data that must be reduced to transfer it through wireless transmission, and data reduction must be made without compromising data quality. Video compression technology is very important in the field of signal processing, and there are many similarities between multichannel neural signals and video signals. Therefore, we use motion vectors (MVs) to reduce the redundancy between successive video frames and successive channels. We also test what transform for neural signal compression is best. Our novel signal compression method gives a signal-to-noise ratio (SNR) of 25 db and compresses data to 5% of the original signal.

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Optimal transform of multichannel evoked neural signals using a video compression algorithm

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