File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Comparison of time-frequency distribution techniques for analysis of spinal somatosensory evoked potential

TitleComparison of time-frequency distribution techniques for analysis of spinal somatosensory evoked potential
Authors
Issue Date2001
PublisherSpringer Verlag. The Journal's web site is located at http://www.springer.com/sgw/cda/frontpage/0,11855,4-40109-70-67951916-0,00.html?changeHeader=true
Citation
Medical And Biological Engineering And Computing, 2001, v. 39 n. 3, p. 375-380 How to Cite?
AbstractSpinal somatosensory evoked potential (SSEP) has been employed to monitor the integrity of the spinal cord during surgery. To detect both temporal and spectral changes in SSEP waveforms, an investigation of the application of time-frequency analysis (TFA) techniques was conducted. SSEP signals from 30 scoliosis patients were analysed using different techniques; short time Fourier transform (STFT), Wigner-Ville distribution (WVD), Choi-Williams distribution (CWD), coneshaped distribution (CSD) and adaptive spectrogram (ADS). The time-frequency distributions (TFD) computed using these methods were assessed and compared with each other. WVD, ADS, CSD and CWD showed better resolution than STFT. Comparing normalised peak widths, CSD showed the sharpest peak width (0.13 ± 0.1) in the frequency dimension, and a mean peak width of 0.70 ± 0.12 in the time dimension. Both WVD and CWD produced cross-term interference, distorting the TFA distribution, but this was not seen with CSD and ADS. CSD appeared to give a lower mean peak power bias (10.3% ± 6.2%) than ADS (41.8% ± 19.6%). Application of the CSD algorithm showed both good resolution and accurate spectrograms, and is therefore recommended as the most appropriate TFA technique for the analysis of SSEP signals.
Persistent Identifierhttp://hdl.handle.net/10722/170031
ISSN
2015 Impact Factor: 1.797
2015 SCImago Journal Rankings: 0.798
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHu, Yen_US
dc.contributor.authorLuk, KDKen_US
dc.contributor.authorLu, WWen_US
dc.contributor.authorHolmes, Aen_US
dc.contributor.authorLeong, JCYen_US
dc.date.accessioned2012-10-30T06:04:51Z-
dc.date.available2012-10-30T06:04:51Z-
dc.date.issued2001en_US
dc.identifier.citationMedical And Biological Engineering And Computing, 2001, v. 39 n. 3, p. 375-380en_US
dc.identifier.issn0140-0118en_US
dc.identifier.urihttp://hdl.handle.net/10722/170031-
dc.description.abstractSpinal somatosensory evoked potential (SSEP) has been employed to monitor the integrity of the spinal cord during surgery. To detect both temporal and spectral changes in SSEP waveforms, an investigation of the application of time-frequency analysis (TFA) techniques was conducted. SSEP signals from 30 scoliosis patients were analysed using different techniques; short time Fourier transform (STFT), Wigner-Ville distribution (WVD), Choi-Williams distribution (CWD), coneshaped distribution (CSD) and adaptive spectrogram (ADS). The time-frequency distributions (TFD) computed using these methods were assessed and compared with each other. WVD, ADS, CSD and CWD showed better resolution than STFT. Comparing normalised peak widths, CSD showed the sharpest peak width (0.13 ± 0.1) in the frequency dimension, and a mean peak width of 0.70 ± 0.12 in the time dimension. Both WVD and CWD produced cross-term interference, distorting the TFA distribution, but this was not seen with CSD and ADS. CSD appeared to give a lower mean peak power bias (10.3% ± 6.2%) than ADS (41.8% ± 19.6%). Application of the CSD algorithm showed both good resolution and accurate spectrograms, and is therefore recommended as the most appropriate TFA technique for the analysis of SSEP signals.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://www.springer.com/sgw/cda/frontpage/0,11855,4-40109-70-67951916-0,00.html?changeHeader=trueen_US
dc.relation.ispartofMedical and Biological Engineering and Computingen_US
dc.subject.meshEvoked Potentials, Somatosensoryen_US
dc.subject.meshHumansen_US
dc.subject.meshMonitoring, Intraoperative - Methodsen_US
dc.subject.meshScoliosis - Surgeryen_US
dc.subject.meshSignal Processing, Computer-Assisteden_US
dc.subject.meshSpinal Cord - Physiopathologyen_US
dc.titleComparison of time-frequency distribution techniques for analysis of spinal somatosensory evoked potentialen_US
dc.typeArticleen_US
dc.identifier.emailHu, Y:yhud@hku.hken_US
dc.identifier.emailLuk, KDK:hcm21000@hku.hken_US
dc.identifier.emailLu, WW:wwlu@hku.hken_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.identifier.authorityLuk, KDK=rp00333en_US
dc.identifier.authorityLu, WW=rp00411en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/BF02345294-
dc.identifier.pmid11465894-
dc.identifier.scopuseid_2-s2.0-0034953803en_US
dc.identifier.hkuros58594-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034953803&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume39en_US
dc.identifier.issue3en_US
dc.identifier.spage375en_US
dc.identifier.epage380en_US
dc.identifier.isiWOS:000169732400016-
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridHu, Y=7407116091en_US
dc.identifier.scopusauthoridLuk, KDK=7201921573en_US
dc.identifier.scopusauthoridLu, WW=7404215221en_US
dc.identifier.scopusauthoridHolmes, A=7401687268en_US
dc.identifier.scopusauthoridLeong, JCY=35560782200en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats