Please use this identifier to cite or link to this item: https://doi.org/10.1109/EMBC.2012.6347169
DC FieldValue
dc.titlePower line interference cancellation in in-vivo neural recording
dc.contributor.authorKeshtkaran, M.R.
dc.contributor.authorYang, Z.
dc.date.accessioned2014-06-19T03:24:17Z
dc.date.available2014-06-19T03:24:17Z
dc.date.issued2012
dc.identifier.citationKeshtkaran, M.R.,Yang, Z. (2012). Power line interference cancellation in in-vivo neural recording. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS : 5214-5217. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/EMBC.2012.6347169" target="_blank">https://doi.org/10.1109/EMBC.2012.6347169</a>
dc.identifier.isbn9781424441198
dc.identifier.issn1557170X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71486
dc.description.abstractThis paper presents an algorithm for removing power line interference in neural recording experiments. It does not require any interference reference signal and can reliably track interference changes in frequency, phase, and amplitude. The method includes three major steps. First, it employs a robust frequency estimator to obtain the fundamental frequency of the interference. Second, a series of discrete-time oscillators are used to generate interference harmonics, where harmonic phase and amplitude are obtained using the recursive least squares (RLS) algorithm. Third, the estimated interference harmonics are removed without distorting the neural signals at the interference frequencies. The simple structure and adequate numerical behavior of the algorithm renders it suitable for realtime implementation. Extensive experiments based on both invivo and synthesized data have been performed, where a reliable performance has been observed. © 2012 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/EMBC.2012.6347169
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/EMBC.2012.6347169
dc.description.sourcetitleProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
dc.description.page5214-5217
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

4
checked on Nov 28, 2022

Page view(s)

115
checked on Nov 24, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.