@inproceedings{5f19d421ba2144b78ef1e601995d79b3,
title = "Adaptive estimation of bandlimited physiological signals in real-time",
abstract = "Accurate estimation of physiological bandlimited signal is extremely important in various biomedical applications. This paper focuses on developing a single stage robust algorithm for accurate bandlimited signal estimation in real-time applications. In this paper, the existing method bandlimited multiple Fourier linear combiner(BMFLC) with least-mean square(LMS) is improved by replacing LMS with recursive leat square (RLS). A comparative study is conducted on physiological tremor data and EEG data from subjects. Our results showed that the BMFLC-RLS performed better than the existing algorithms for tremor and EEG signal estimation.",
keywords = "BMFLC, EEG, Real-time Estimation, RLS, Tremor",
author = "Zhe Fan and Yubo Wang and Veluvolu, \{Kalyana C.\}",
year = "2011",
language = "English",
isbn = "9781457708350",
series = "International Conference on Control, Automation and Systems",
pages = "167--171",
booktitle = "ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems",
note = "2011 11th International Conference on Control, Automation and Systems, ICCAS 2011 ; Conference date: 26-10-2011 Through 29-10-2011",
}