Interference removal and noise analysis for biomedical signal measurement

博士 === 國立臺灣大學 === 電機工程學系 === 86 === The interference sources and three intrinsic noise sources of bioelectric signal measurement are discussed in detail in this thesis. From the analysis of the circuit model for bioelectric signal ,easurement, an equation, which...

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Bibliographic Details
Main Authors: Lin, Yue-Der, 林育德
Other Authors: Fok-Ching Chong
Format: Others
Language:en_US
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/11937479282319328943
Description
Summary:博士 === 國立臺灣大學 === 電機工程學系 === 86 === The interference sources and three intrinsic noise sources of bioelectric signal measurement are discussed in detail in this thesis. From the analysis of the circuit model for bioelectric signal ,easurement, an equation, which describes the equivalent noise contributed by the amplifier, is deduced to estimate the performance of the designed circuit. Three different approaches for interference removal are also proposed. The first one is an active comb filter as well as a group of 138 bandpass filters for its implementation. This proposed comb filter can be used to eliminate the power-line interference and its harmonics. One popular bandpass filter is chosen to implement the proposed active comb filter and its perfor- mance is demonstrated by sinusoidal and triangular wave tests. The second one is a novel preamplifier with multiple-feedback structure that can be used to suppress the low-frequency interference. The proposed preamplifier with its front end being implemented by an instrumentation amplifier enjoys the follow- ing advantages: differential highpass filtering, high input impedance, high CMRR and low passive sensitivity. The stability analysis is also given to verify the inherent stability of this preamplifier. Experimental test results demonstrate its feasibility. The power-line interference is assumed to be a sinusoidal wave. This LMS-style algorithm updates the amplitude and the phase of the sinusoid iteratively, and the interference frequency is estimated by chirp-Z transform (CZT) successively. The simulation results show that this method can eliminate sinusoid with its frequency keeping fixed over an interval longer than the time needed for numerical convergence.