Multichannel evoked neural signal compression using advanced video compression algorithm

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

研究成果: 書貢獻/報告類型會議貢獻

7 引文 斯高帕斯(Scopus)

摘要

Multichannel neural recording is one of the most important topics in the field of biomedical engineering. This is because there is a need to considerably reduce large amounts of data without degrading the data quality for easy transfer through wireless transmission. Video compression technology is of considerable importance in the field of signal processing. There are many similarities between multichannel neural signals and video signals. In this study, we propose a signal compression method that employs motion vectors (MVs) to reduce the redundancy between successive video frames and between successive channels. The method shows a signal-to-noise (error) ratio (SNR) of 25 db and data are compressed to 5% of their original size.
原文英語
主出版物標題2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09
頁面697-701
頁數5
DOIs
出版狀態已發佈 - 十月 27 2009
對外發佈Yes
事件2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09 - Antalya, 土耳其
持續時間: 四月 29 2009五月 2 2009

出版系列

名字2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09

其他

其他2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09
國家土耳其
城市Antalya
期間4/29/095/2/09

ASJC Scopus subject areas

  • Biomedical Engineering
  • Clinical Neurology
  • Neuroscience(all)

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