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dc.contributor.authorCanbay, F.
dc.contributor.authorLevent, Vecdi Emre
dc.contributor.authorSerbes, G.
dc.contributor.authorUğurdağ, Hasan Fatih
dc.date.accessioned2016-06-29T13:04:33Z
dc.date.available2016-06-29T13:04:33Z
dc.date.issued2016
dc.identifier.issn1680-0737
dc.identifier.urihttp://hdl.handle.net/10679/4121
dc.identifier.urihttp://link.springer.com/chapter/10.1007/978-3-319-32703-7_24
dc.description.abstractIn medical applications, biomedical acquisition systems (BASs) are frequently used in order to diagnose and monitor critical conditions such as stroke, epilepsy, Alzheimer disease, arrhythmias and etc. Biomedical signals (BSs), which produce valuable information about the condition of various physiological subsystems in our body, can be obtained by using multi-channel BASs. Due to the time-varying behavior of physiological sub-systems, most of the BSs are expected to have non-stationary character. In order to derive desired clinical information from these non-stationary BSs, an appropriate analysis method which exhibits adjustable time-frequency resolution is needed. The wavelet transform (WT), in which the time-frequency resolution can be adjusted according to the different parts of the signal, are widely used in the analysis of BSs. The discrete wavelet transform (DWT) is a fast and discretized implementation of classical WT and was employed as a feature extractor and de-noising operator for BSs in literature. However, due to the aliasing, lack of directionality and being shift-variance disadvantages, the DWT exhibits limited performance. A modified version of the DWT, which is named as Dual Tree Complex Wavelet Transform (DTCWT), is employed in the analysis of BSs and improved results are obtained. Therefore, in this study, considering the improvements in embedded system technology and the needs for wavelet based multi-channel real-time feature-extraction/de-noising operations in portable medical devices, the DTCWT is implemented as a multi-channel system-on-chip by using field programmable gate arrays. In proposed hardware architecture, for N input-channels, the DTCWT is implemented by using only one adder and one multiplier. The area efficiency and speed limits of proposed system are presented comparing with our previous approaches.
dc.language.isoengen_US
dc.publisherSpringer International Publishing
dc.relation.ispartofIFMBE Proceedings
dc.rightsrestrictedAccess
dc.titleA multi-channel real time implementation of dual tree complex wavelet Transform in field programmable gate arraysen_US
dc.typeBook chapter
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-6256-0850 & YÖK ID 118293) Uğurdağ, Fatih
dc.contributor.ozuauthorUğurdağ, Hasan Fatih
dc.identifier.volume57
dc.identifier.startpage114
dc.identifier.endpage118
dc.identifier.wosWOS:000376283000024
dc.identifier.doi10.1007/978-3-319-32703-7_24
dc.subject.keywordsDual tree complex wavelet transform
dc.subject.keywordsFPGA
dc.subject.keywordsMulti-channel implementation
dc.identifier.scopusSCOPUS:2-s2.0-84968653096
dc.contributor.ozugradstudentLevent, Vecdi Emre
dc.contributor.authorMale2
dc.relation.publicationcategoryBook Chapter - International - Institutional Academic Staff and PhD Student


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