File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Time-frequency Feature of Intraoperative Somatosensory Evoked Potential Signals

TitleTime-frequency Feature of Intraoperative Somatosensory Evoked Potential Signals
Authors
Issue Date2007
PublisherIEEE EMBC 2007.
Citation
The 29th Annual International Conference of IEEE-EMBS Engineering in Medicine and Biology Society (EMBC '07), Lyon, France, 23-26 August 2007. In Conference Proceedings, 2007, p. 2448-2451 How to Cite?
AbstractThe purpose of this paper is to investigate the time-frequency analysis of somatosensory evoked potentials (SEP) and its potential application to intraoperative spinal cord monitoring. In this study, SEP signals were recorded from 97 adolescent patients undergoing surgical correction of idiopathic scoliosis. The time-frequency distributions of SEP were observed during surgery by analysing averaged SEP signals with Short Time Fourier Transform (STFT). Main peak in time-frequency interpretation of SEP was measured in peak time, peak frequency and peak power. The changes of these parameters were compared with the changes of latency and amplitude. The results showed that changes in peak times and peak powers were found to correlate to the changes of latency and amplitude, respectively. However, the peak time showed more variability than the latency (p<0.01), while the peak power showed significantly lower variability than the amplitude (p<0.01). The peak frequency of SEP seems to be unchanged during surgery. Time-frequency analysis of SEP waveform gives stable and easily identifiable characteristics, and also shows higher specificity than amplitude and latency. Applying time-frequency analysis to SEP may improve the reliability of intraoperative spinal cord monitoring. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/103655
ISSN
2023 SCImago Journal Rankings: 0.340
References

 

DC FieldValueLanguage
dc.contributor.authorHu, Yen_HK
dc.contributor.authorJiang, Fen_HK
dc.contributor.authorLuk, KDKen_HK
dc.date.accessioned2010-09-25T21:21:20Z-
dc.date.available2010-09-25T21:21:20Z-
dc.date.issued2007en_HK
dc.identifier.citationThe 29th Annual International Conference of IEEE-EMBS Engineering in Medicine and Biology Society (EMBC '07), Lyon, France, 23-26 August 2007. In Conference Proceedings, 2007, p. 2448-2451en_HK
dc.identifier.issn0589-1019en_HK
dc.identifier.urihttp://hdl.handle.net/10722/103655-
dc.description.abstractThe purpose of this paper is to investigate the time-frequency analysis of somatosensory evoked potentials (SEP) and its potential application to intraoperative spinal cord monitoring. In this study, SEP signals were recorded from 97 adolescent patients undergoing surgical correction of idiopathic scoliosis. The time-frequency distributions of SEP were observed during surgery by analysing averaged SEP signals with Short Time Fourier Transform (STFT). Main peak in time-frequency interpretation of SEP was measured in peak time, peak frequency and peak power. The changes of these parameters were compared with the changes of latency and amplitude. The results showed that changes in peak times and peak powers were found to correlate to the changes of latency and amplitude, respectively. However, the peak time showed more variability than the latency (p<0.01), while the peak power showed significantly lower variability than the amplitude (p<0.01). The peak frequency of SEP seems to be unchanged during surgery. Time-frequency analysis of SEP waveform gives stable and easily identifiable characteristics, and also shows higher specificity than amplitude and latency. Applying time-frequency analysis to SEP may improve the reliability of intraoperative spinal cord monitoring. © 2007 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE EMBC 2007.en_HK
dc.relation.ispartofAlliance for Engineering in Medicine and Biology. Proceedings of the Annual Conferenceen_HK
dc.titleTime-frequency Feature of Intraoperative Somatosensory Evoked Potential Signalsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailHu, Y:yhud@hku.hken_HK
dc.identifier.emailLuk, KDK:hcm21000@hku.hken_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.identifier.authorityLuk, KDK=rp00333en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IEMBS.2007.4352823en_HK
dc.identifier.pmid18002489-
dc.identifier.scopuseid_2-s2.0-84926231933en_HK
dc.identifier.hkuros139323en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-57649236079&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage2448en_HK
dc.identifier.epage2451en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK
dc.identifier.scopusauthoridJiang, F=36866240700en_HK
dc.identifier.scopusauthoridLuk, KDK=7201921573en_HK
dc.customcontrol.immutablesml 170512 amended-
dc.identifier.issnl0589-1019-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats