Please use this identifier to cite or link to this item: https://doi.org/10.1109/EMBC.2012.6347169
Title: Power line interference cancellation in in-vivo neural recording
Authors: Keshtkaran, M.R.
Yang, Z. 
Issue Date: 2012
Source: Keshtkaran, 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. https://doi.org/10.1109/EMBC.2012.6347169
Abstract: This 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.
Source Title: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
URI: http://scholarbank.nus.edu.sg/handle/10635/71486
ISBN: 9781424441198
ISSN: 1557170X
DOI: 10.1109/EMBC.2012.6347169
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