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- Publisher Website: 10.1109/ICSPCC.2012.6335677
- Scopus: eid_2-s2.0-84869427544
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Conference Paper: Detection of pain from nociceptive laser-evoked potentials using single-trial analysis and pattern recognition
Title | Detection of pain from nociceptive laser-evoked potentials using single-trial analysis and pattern recognition |
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Authors | |
Keywords | Pain perception Pattern recognition Quadratic classifier Single-trial analysis |
Issue Date | 2012 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800540 |
Citation | The 2nd IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2012), Hong Kong, China, 12-15 August 2012. In Conference Proceedings, 2012, p. 67-71 How to Cite? |
Abstract | Pain is an unpleasant multidimensional experience, which could be largely influenced by various peripheral and cognitive factors. Therefore, the pain experience and the related brain responses exhibit high variability from time to time and from condition to condition. The availability of an objective assessment of pain perception would be of great importance for both basic and clinical applications. In the present study, we combined single-trial analysis and pattern recognition techniques to differentiate nociceptive laser-evoked brain responses (LEPs) and resting electroencephalographical recordings (EEG). We found that quadratic classifier significantly outperformed linear classifier when separating LEP trials from resting EEG trials. Across subjects, the error rates of quadratic classifier, when it was tested on all trials (I1+I2), trials with low ratings (I1), and trials with high rating (I2), are respectively 17.5±3.5%, 20.6±4.3%, and 9.1±4.9%. © 2012 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/189875 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Hu, L | en_US |
dc.contributor.author | Zhang, Z | en_US |
dc.date.accessioned | 2013-09-17T15:01:03Z | - |
dc.date.available | 2013-09-17T15:01:03Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.citation | The 2nd IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2012), Hong Kong, China, 12-15 August 2012. In Conference Proceedings, 2012, p. 67-71 | en_US |
dc.identifier.isbn | 978-1-4673-2193-8 | - |
dc.identifier.uri | http://hdl.handle.net/10722/189875 | - |
dc.description.abstract | Pain is an unpleasant multidimensional experience, which could be largely influenced by various peripheral and cognitive factors. Therefore, the pain experience and the related brain responses exhibit high variability from time to time and from condition to condition. The availability of an objective assessment of pain perception would be of great importance for both basic and clinical applications. In the present study, we combined single-trial analysis and pattern recognition techniques to differentiate nociceptive laser-evoked brain responses (LEPs) and resting electroencephalographical recordings (EEG). We found that quadratic classifier significantly outperformed linear classifier when separating LEP trials from resting EEG trials. Across subjects, the error rates of quadratic classifier, when it was tested on all trials (I1+I2), trials with low ratings (I1), and trials with high rating (I2), are respectively 17.5±3.5%, 20.6±4.3%, and 9.1±4.9%. © 2012 IEEE. | - |
dc.language | eng | en_US |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800540 | - |
dc.relation.ispartof | IEEE International Conference on Signal Processing, Communications and Computing Proceedings | en_US |
dc.subject | Pain perception | - |
dc.subject | Pattern recognition | - |
dc.subject | Quadratic classifier | - |
dc.subject | Single-trial analysis | - |
dc.title | Detection of pain from nociceptive laser-evoked potentials using single-trial analysis and pattern recognition | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Zhang, Z: zgzhang@eee.hku.hk | en_US |
dc.identifier.authority | Zhang, Z=rp01565 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICSPCC.2012.6335677 | - |
dc.identifier.scopus | eid_2-s2.0-84869427544 | - |
dc.identifier.hkuros | 223278 | en_US |
dc.identifier.spage | 67 | - |
dc.identifier.epage | 71 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 131024 | - |