Intelligent content-aware model-free low power evoked neural signal compression

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

doi:10.1007/978-3-540-89796-5_109

Intelligent content-aware model-free low power evoked neural signal compression

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

生物醫學影像暨放射科學系

研究成果: Conference contribution › 同行評審

3 引文斯高帕斯（Scopus）

摘要

Neural recording is an important key for us to realize the neuron activity, and multi-channel recording will be more and more crucial. However, nowadays research can only deal with spontaneous signals, which characteristics are far different from evoked signals. For evoked signals, we cannot just judge the spike at the front-end because evoked signals can't be distinguished by recent spike sorting algorithm. Then, we need to send "full" waveform for bio-researchers. Therefore, proper compression algorithm is unavoidable due to full waveform transmission creates huge data amount. We use signal processing skills to get the targets for lossless compression, SNR>25db, and compression rate (compressed data / origin data)<25%.

原文	English
主出版物標題	Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings
頁面	898-901
頁數	4
DOIs	https://doi.org/10.1007/978-3-540-89796-5_109
出版狀態	Published - 2008
事件	9th Pacific Rim Conference on Multimedia, PCM 2008 - Tainan, Taiwan 持續時間: 9 12月 2008 → 13 12月 2008

出版系列

名字	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	5353 LNCS
ISSN（列印）	0302-9743
ISSN（電子）	1611-3349

Conference

Conference	9th Pacific Rim Conference on Multimedia, PCM 2008
國家/地區	Taiwan
城市	Tainan
期間	9/12/08 → 13/12/08

存取文件

10.1007/978-3-540-89796-5_109

其它文件與鏈接

Link to publication in Scopus

引用此

Chen, H. C., Kao, Y. C., Chen, L. G., & Jaw, F. S. (2008). Intelligent content-aware model-free low power evoked neural signal compression. 於 Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings (頁 898-901). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5353 LNCS). https://doi.org/10.1007/978-3-540-89796-5_109

Chen, Han Chung ; Kao, Yu Chieh ; Chen, Liang Gee 等. / Intelligent content-aware model-free low power evoked neural signal compression. Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings. 2008. 頁 898-901 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Intelligent content-aware model-free low power evoked neural signal compression",

abstract = "Neural recording is an important key for us to realize the neuron activity, and multi-channel recording will be more and more crucial. However, nowadays research can only deal with spontaneous signals, which characteristics are far different from evoked signals. For evoked signals, we cannot just judge the spike at the front-end because evoked signals can't be distinguished by recent spike sorting algorithm. Then, we need to send {"}full{"} waveform for bio-researchers. Therefore, proper compression algorithm is unavoidable due to full waveform transmission creates huge data amount. We use signal processing skills to get the targets for lossless compression, SNR>25db, and compression rate (compressed data / origin data)<25%.",

keywords = "Evoked signals, Neural recording, Neural signal compression",

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

year = "2008",

doi = "10.1007/978-3-540-89796-5_109",

language = "English",

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pages = "898--901",

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note = "9th Pacific Rim Conference on Multimedia, PCM 2008 ; Conference date: 09-12-2008 Through 13-12-2008",

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Chen, HC, Kao, YC, Chen, LG & Jaw, FS 2008, Intelligent content-aware model-free low power evoked neural signal compression. 於 Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 5353 LNCS, 頁 898-901, 9th Pacific Rim Conference on Multimedia, PCM 2008, Tainan, Taiwan, 9/12/08. https://doi.org/10.1007/978-3-540-89796-5_109

Intelligent content-aware model-free low power evoked neural signal compression. / Chen, Han Chung; Kao, Yu Chieh; Chen, Liang Gee 等.
Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings. 2008. p. 898-901 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 5353 LNCS).

研究成果: Conference contribution › 同行評審

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AU - Jaw, Fu Shan

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AB - Neural recording is an important key for us to realize the neuron activity, and multi-channel recording will be more and more crucial. However, nowadays research can only deal with spontaneous signals, which characteristics are far different from evoked signals. For evoked signals, we cannot just judge the spike at the front-end because evoked signals can't be distinguished by recent spike sorting algorithm. Then, we need to send "full" waveform for bio-researchers. Therefore, proper compression algorithm is unavoidable due to full waveform transmission creates huge data amount. We use signal processing skills to get the targets for lossless compression, SNR>25db, and compression rate (compressed data / origin data)<25%.

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Chen HC, Kao YC, Chen LG, Jaw FS. Intelligent content-aware model-free low power evoked neural signal compression. 於 Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings. 2008. p. 898-901. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-89796-5_109

Intelligent content-aware model-free low power evoked neural signal compression

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