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2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering
Web Services Based Bio-signal System Leveraging Support Vector Machines
Taichung, Taiwan
June 22-June 24
ISBN: 978-0-7695-3656-9
| ASCII Text | x | ||
| Sung-Huai Hsieh, Sheau-Ling Hsieh, Chia-Ping Shen, Wei-Hsin Chen, Po-Hsun Cheng, Kai-Ping Hsu, Chi-Huang Chen, Feipei Lai, "Web Services Based Bio-signal System Leveraging Support Vector Machines," 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE), pp. 254-259, 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/BIBE.2009.71, author = {Sung-Huai Hsieh and Sheau-Ling Hsieh and Chia-Ping Shen and Wei-Hsin Chen and Po-Hsun Cheng and Kai-Ping Hsu and Chi-Huang Chen and Feipei Lai}, title = {Web Services Based Bio-signal System Leveraging Support Vector Machines}, journal ={2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)}, volume = {0}, year = {2009}, isbn = {978-0-7695-3656-9}, pages = {254-259}, doi = {http://doi.ieeecomputersociety.org/10.1109/BIBE.2009.71}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) TI - Web Services Based Bio-signal System Leveraging Support Vector Machines SN - 978-0-7695-3656-9 SP254 EP259 A1 - Sung-Huai Hsieh, A1 - Sheau-Ling Hsieh, A1 - Chia-Ping Shen, A1 - Wei-Hsin Chen, A1 - Po-Hsun Cheng, A1 - Kai-Ping Hsu, A1 - Chi-Huang Chen, A1 - Feipei Lai, PY - 2009 KW - Support Vector Machine KW - Web Services KW - Bio-signal KW - ECG KW - EEG VL - 0 JA - 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIBE.2009.71
Bio-signal analysis is one of the most important approaches to biomedical engineering. The health information such as ECG, PCG, EMG and EEG are often recorded in digital format to be analyzed. In this paper, a bio-signal analyzing web service system using Support Vector Machines (SVM) classifier technique is proposed. The bio-signals are recorded in digital format as the input of the system. In addition, based on the concept of Service-Oriented Architecture (SOA), the system under web services .NET is designed. The system provides features including heterogeneous platform, protocols, as well as applications. The system has been designed with the purpose of seamless integration into the Health Information System.
Index Terms:
Support Vector Machine, Web Services, Bio-signal, ECG, EEG
Citation:
Sung-Huai Hsieh, Sheau-Ling Hsieh, Chia-Ping Shen, Wei-Hsin Chen, Po-Hsun Cheng, Kai-Ping Hsu, Chi-Huang Chen, Feipei Lai, "Web Services Based Bio-signal System Leveraging Support Vector Machines," bibe, pp.254-259, 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009
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