抽象的な

Fetal ECG Extraction Using Adaptive Filters

Prasanth K., Baby Paul, Arun A. Balakrishnan

Fetal electrocardiogram (FECG) extraction has a vital role in medical diagnosis during pregnancy. In this paper, a method for removal of background noise and artifacts from FECG signals using adaptive filters is proposed. The proposed method uses adaptive noise cancellation and digital filters for FECG extraction. Proposed FECG extraction algorithm is implemented in MATLAB using simulink models. Simulation results shows that fetal heart rate can be extracted by counting the peaks of R-R interval from the extracted FECG noise free signal.