FPGA-implementation of LMS adaptive noise canceller for ECG signal using model based design

Abstract

This paper introduces a new development flow named Model Based Design for biologic signal processing system designing on FPGA. An adaptive noise canceller based on LMS (Least Mean Square) algorithm is implemented on FPGA using this flow. The canceller removes the power-line interference from electrocardiogram (ECG) signal successfully. Finally, a performance evaluation and hardware resource utilization of this design for different system parameters are presented in this paper.