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Conference Paper: Selection of floating-point or fixed-point for adaptive noise canceller in somatosensory evoked potential measurement

TitleSelection of floating-point or fixed-point for adaptive noise canceller in somatosensory evoked potential measurement
Authors
Issue Date2007
PublisherIEEE EMBC 2007.
Citation
Annual International Conference Of The Ieee Engineering In Medicine And Biology - Proceedings, 2007, p. 3274-3277 How to Cite?
AbstractAdaptive noise canceller (ANC) has been used to improve signal to noise ratio (SNR) of somsatosensory evoked potential (SEP). In order to efficiently apply the ANC in hardware system, fixed-point algorithm based ANC can achieve fast, cost-efficient construction, and low-power consumption in FPGA design. However, it is still questionable whether the SNR improvement performance by fixed-point algorithm is as good as that by floating-point algorithm. This study is to compare the outputs of ANC by floating-point and fixed-point algorithm ANC when it was applied to SEP signals. The selection of step-size parameter (μ) was found different in fixed-point algorithm from floating-point algorithm. In this simulation study, the outputs of fixed-point ANC showed higher distortion from real SEP signals than that of floating-point ANC. However, the difference would be decreased with increasing μ value. In the optimal selection of μ, fixed-point ANC can get as good results as floating-point algorithm. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/104375
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorShen, Cen_HK
dc.contributor.authorLiu, Hen_HK
dc.contributor.authorXie, XBen_HK
dc.contributor.authorLuk, KDKen_HK
dc.contributor.authorHu, Yen_HK
dc.date.accessioned2010-09-25T21:50:18Z-
dc.date.available2010-09-25T21:50:18Z-
dc.date.issued2007en_HK
dc.identifier.citationAnnual International Conference Of The Ieee Engineering In Medicine And Biology - Proceedings, 2007, p. 3274-3277en_HK
dc.identifier.issn0589-1019en_HK
dc.identifier.urihttp://hdl.handle.net/10722/104375-
dc.description.abstractAdaptive noise canceller (ANC) has been used to improve signal to noise ratio (SNR) of somsatosensory evoked potential (SEP). In order to efficiently apply the ANC in hardware system, fixed-point algorithm based ANC can achieve fast, cost-efficient construction, and low-power consumption in FPGA design. However, it is still questionable whether the SNR improvement performance by fixed-point algorithm is as good as that by floating-point algorithm. This study is to compare the outputs of ANC by floating-point and fixed-point algorithm ANC when it was applied to SEP signals. The selection of step-size parameter (μ) was found different in fixed-point algorithm from floating-point algorithm. In this simulation study, the outputs of fixed-point ANC showed higher distortion from real SEP signals than that of floating-point ANC. However, the difference would be decreased with increasing μ value. In the optimal selection of μ, fixed-point ANC can get as good results as floating-point algorithm. © 2007 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE EMBC 2007.en_HK
dc.relation.ispartofAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedingsen_HK
dc.titleSelection of floating-point or fixed-point for adaptive noise canceller in somatosensory evoked potential measurementen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLuk, KDK:hcm21000@hku.hken_HK
dc.identifier.emailHu, Y:yhud@hku.hken_HK
dc.identifier.authorityLuk, KDK=rp00333en_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IEMBS.2007.4353028en_HK
dc.identifier.pmid18002694-
dc.identifier.scopuseid_2-s2.0-84926231725en_HK
dc.identifier.hkuros139324en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-57649185055&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage3274en_HK
dc.identifier.epage3277en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridShen, C=23390267000en_HK
dc.identifier.scopusauthoridLiu, H=26643490700en_HK
dc.identifier.scopusauthoridXie, XB=53870912800en_HK
dc.identifier.scopusauthoridLuk, KDK=7201921573en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK

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