Adaptive estimation of bandlimited physiological signals in real-time

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.