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An approach to noise reduction in human skin admittance measurements

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dc.contributor.author Kondakçı, Süleyman
dc.date.accessioned 2020-04-02T19:30:08Z
dc.date.available 2020-04-02T19:30:08Z
dc.date.issued 2001
dc.identifier.citation Kondakci, S, "An approach to noise reduction in human skin admittance measurements", 23rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, Vol. 23, pp. 2028-2031, (2001). tr_TR
dc.identifier.issn 1094-687X
dc.identifier.uri http://hdl.handle.net/20.500.12416/2845
dc.description.abstract This paper presents the development of a signal averaging algorithm for recovering excitation responses contaminated by overwhelming amount of various types of interference in skin admittance measurements. The algorithm is designed to eliminate Gaussian-distributed noise by use of a recursive approach. The process of recovering low magnitude voltage responses from highly noise-contaminated waveforms is a CPU-intensive task. In real-time measurements, iterative reconstruction algorithm is inefficient and time consuming when slow varying input waveforms are present. To increase the quality of the reconstruction a considerably large number of recursions is required. Increasing the number of recursions is appropriate for batch processing of measurement data. However, the algorithm considers measurements in real-time, whereas required quality of signal reconstruction should be kept independent from the number of recursions. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE tr_TR
dc.relation.isversionof 10.1109/IEMBS.2001.1020630 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.title An approach to noise reduction in human skin admittance measurements tr_TR
dc.type conferenceObject tr_TR
dc.type article tr_TR
dc.relation.journal 23rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society tr_TR
dc.contributor.authorID 102350 tr_TR
dc.identifier.volume 23 tr_TR
dc.identifier.startpage 2028 tr_TR
dc.identifier.endpage 2031 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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