Minimization of Base-Line Drift Interference from ECG Signal Using FPGA Based Adaptive Filter

Abstract

Baseline wander noise removal from Electrocardiogram (ECG) signal is very complex problem. In ECG signal baseline wander noise distorts the low frequency segments. The low frequency segment in ECG is ST segment. Heart attack related information is retrained from ST segment, so it is very necessary to have a noise free ECG signal. This paper presents development and implementation of architecture for a LMS based Adaptive filter using Spartan 3s400pq208-4 board and Xilinx system Generator (XSG) software, to minimize the Baseline wander noise (0.15 to 0.3Hz) from Electrocardiogram (ECG) signal. The signals under experiment are retrieved from MIT-BIH database and are added with Baseline wander noise. Efficient removal of Baseline wander noise is verified and observations are noted to get desirable SNR. This research work is carried out by using FPGA for adaptive filter using LMS Algorithm to remove Baseline wander noise to prevent low frequency component of ECG signal.