TY - GEN
T1 - Power line interference cancellation in in-vivo neural recording.
AU - Keshtkaran, Mohammad Reza
AU - Yang, Zhi
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84870822753&partnerID=8YFLogxK
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U2 - 10.1109/EMBC.2012.6347169
DO - 10.1109/EMBC.2012.6347169
M3 - Conference contribution
C2 - 23367104
AN - SCOPUS:84880949892
SN - 9781424441198
VL - 2012
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 5214
EP - 5217
BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
T2 - 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Y2 - 28 August 2012 through 1 September 2012
ER -