Adaptive estimation of bandlimited physiological signals in real-time

Author

Fan Zhe ; Wang Yubo ; Veluvolu, Kalyana C.

Author_Institution

Dept. of Electron. Eng., Kyungpook Nat. Univ., Daegu, South Korea

fYear

2011

fDate

26-29 Oct. 2011

Firstpage

167

Lastpage

171

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

bioelectric phenomena; electroencephalography; least mean squares methods; medical signal processing; EEG data; EEG signal estimation; adaptive estimation; bandlimited multiple Fourier linear combiner; bandlimited physiological signals; bandlimited signal estimation; biomedical applications; least-mean square; physiological bandlimited signal; physiological tremor data; real-time application; recursive leat square; Electroencephalography; Estimation; Least squares approximation; Physiology; Real time systems; Signal processing algorithms; Surgery; BMFLC; EEG; RLS; Real-time Estimation; Tremor;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems (ICCAS), 2011 11th International Conference on

Conference_Location

Gyeonggi-do

ISSN

2093-7121

Print_ISBN

978-1-4577-0835-0

Type

conf

Filename

6106399