File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Surface somatosensory evoked potential detection by FPGA based multi-adaptive filter

TitleSurface somatosensory evoked potential detection by FPGA based multi-adaptive filter
Authors
KeywordsAdaptive Noise Canceller
Fixed-Point
Somatosensory Evoked Potentials
Issue Date2009
Citation
2009 4Th International Ieee/Embs Conference On Neural Engineering, Ner '09, 2009, p. 673-676 How to Cite?
AbstractSurface somatosensory evoked potentials (SSEP) collected from conscious subjects usually presents poor signal-tonoise ratio (SNR), requiring several hundreds ensembles averaging to provide a meaningful waveform. A FPGA based adaptive filtering is proposed to perform fast and accurate SSEP extraction by fixed-point adaptive noise canceller (ANC). In 6 normal subjects and 1 neurological abnormal patient, the latency and the peak-to-peak amplitude in SSEP by FPGA based ANC technique were compared with that measured by ensemble averaging. Using 100 trials ANC processed SSEP was sufficient to extract a waveform in equivalent to that extracted by 1000 trials ensemble averaging. The use of fixed-point ANC based on FPGA proved to shorten SSEP measurement time and provide varying information underlying SSEP. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/173416
References

 

DC FieldValueLanguage
dc.contributor.authorHu, Yen_US
dc.contributor.authorLuk, KDKen_US
dc.contributor.authorCui, Hen_US
dc.contributor.authorXie, Xen_US
dc.date.accessioned2012-10-30T06:30:57Z-
dc.date.available2012-10-30T06:30:57Z-
dc.date.issued2009en_US
dc.identifier.citation2009 4Th International Ieee/Embs Conference On Neural Engineering, Ner '09, 2009, p. 673-676en_US
dc.identifier.urihttp://hdl.handle.net/10722/173416-
dc.description.abstractSurface somatosensory evoked potentials (SSEP) collected from conscious subjects usually presents poor signal-tonoise ratio (SNR), requiring several hundreds ensembles averaging to provide a meaningful waveform. A FPGA based adaptive filtering is proposed to perform fast and accurate SSEP extraction by fixed-point adaptive noise canceller (ANC). In 6 normal subjects and 1 neurological abnormal patient, the latency and the peak-to-peak amplitude in SSEP by FPGA based ANC technique were compared with that measured by ensemble averaging. Using 100 trials ANC processed SSEP was sufficient to extract a waveform in equivalent to that extracted by 1000 trials ensemble averaging. The use of fixed-point ANC based on FPGA proved to shorten SSEP measurement time and provide varying information underlying SSEP. ©2009 IEEE.en_US
dc.languageengen_US
dc.relation.ispartof2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09en_US
dc.subjectAdaptive Noise Cancelleren_US
dc.subjectFixed-Pointen_US
dc.subjectSomatosensory Evoked Potentialsen_US
dc.titleSurface somatosensory evoked potential detection by FPGA based multi-adaptive filteren_US
dc.typeConference_Paperen_US
dc.identifier.emailHu, Y:yhud@hku.hken_US
dc.identifier.emailLuk, KDK:hcm21000@hku.hken_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.identifier.authorityLuk, KDK=rp00333en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/NER.2009.5109386en_US
dc.identifier.scopuseid_2-s2.0-70350227367en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70350227367&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage673en_US
dc.identifier.epage676en_US
dc.identifier.scopusauthoridHu, Y=7407116091en_US
dc.identifier.scopusauthoridLuk, KDK=7201921573en_US
dc.identifier.scopusauthoridCui, H=35745716900en_US
dc.identifier.scopusauthoridXie, X=53870912800en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats