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Conference Paper: Real-time somatosensory evoked potential monitoring using FPGA-based adaptive filter

TitleReal-time somatosensory evoked potential monitoring using FPGA-based adaptive filter
Authors
Issue Date2009
Citation
Proceedings Of The 31St Annual International Conference Of The Ieee Engineering In Medicine And Biology Society: Engineering The Future Of Biomedicine, Embc 2009, 2009, p. 2082-2085 How to Cite?
AbstractThis study was to analyze the performance of fixed-point adaptive signal enhancer (ASE) for somsatosensory evoked potential (SEP) measurement. An animal study was conducted to evaluate the usefulness of this technique in detection of spinal cord injury. The ASE technique has been reported powerful to improve signal to noise ratio of SEP. Therefore,we proposed an integrated circuit. module to perform real time ASE for fast SEP measurement, and a fast fixed-point algorithm was employed in the Field Programmable Gate Array design. We compared the SEP results from FPGA-beased ASE methods and the conventional ensemble averaging (EA) method during an animal experiment. Experimental results on a spinal cord compressive injury model showed that the FPGA-based ASE methods have superior performance over the EA method. It would be helpful to design fixed-point ASE based on FPGA for real-time monitoring of intraoperative SEP. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/103593
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Yen_HK
dc.contributor.authorCui, Hen_HK
dc.contributor.authorZhang, Zen_HK
dc.contributor.authorXie, Xen_HK
dc.contributor.authorHu, Yen_HK
dc.date.accessioned2010-09-25T21:18:50Z-
dc.date.available2010-09-25T21:18:50Z-
dc.date.issued2009en_HK
dc.identifier.citationProceedings Of The 31St Annual International Conference Of The Ieee Engineering In Medicine And Biology Society: Engineering The Future Of Biomedicine, Embc 2009, 2009, p. 2082-2085en_HK
dc.identifier.issn1557-170X-
dc.identifier.urihttp://hdl.handle.net/10722/103593-
dc.description.abstractThis study was to analyze the performance of fixed-point adaptive signal enhancer (ASE) for somsatosensory evoked potential (SEP) measurement. An animal study was conducted to evaluate the usefulness of this technique in detection of spinal cord injury. The ASE technique has been reported powerful to improve signal to noise ratio of SEP. Therefore,we proposed an integrated circuit. module to perform real time ASE for fast SEP measurement, and a fast fixed-point algorithm was employed in the Field Programmable Gate Array design. We compared the SEP results from FPGA-beased ASE methods and the conventional ensemble averaging (EA) method during an animal experiment. Experimental results on a spinal cord compressive injury model showed that the FPGA-based ASE methods have superior performance over the EA method. It would be helpful to design fixed-point ASE based on FPGA for real-time monitoring of intraoperative SEP. ©2009 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009en_HK
dc.titleReal-time somatosensory evoked potential monitoring using FPGA-based adaptive filteren_HK
dc.typeConference_Paperen_HK
dc.identifier.emailZhang, Z:zgzhang@eee.hku.hken_HK
dc.identifier.emailHu, Y:yhud@hku.hken_HK
dc.identifier.authorityZhang, Z=rp01565en_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IEMBS.2009.5333952en_HK
dc.identifier.pmid19964576-
dc.identifier.scopuseid_2-s2.0-84926231359en_HK
dc.identifier.hkuros159404en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77950996017&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage2082en_HK
dc.identifier.epage2085en_HK
dc.identifier.scopusauthoridZhang, Y=35774873900en_HK
dc.identifier.scopusauthoridCui, H=35745716900en_HK
dc.identifier.scopusauthoridZhang, Z=8597618700en_HK
dc.identifier.scopusauthoridXie, X=53870912800en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK

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