TY - GEN
T1 - A New Approach to Extract Fetal Electrocardiogram Using Affine Combination of Adaptive Filters
AU - Xuan, Yu
AU - Zhang, Xiangyu
AU - Li, Shuyue Stella
AU - Shen, Zihan
AU - Xie, Xin
AU - Garcia, Leibny Paola
AU - Togneri, Roberto
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/5/5
Y1 - 2023/5/5
N2 - The detection of abnormal fetal heartbeats during pregnancy is important for monitoring the health conditions of the fetus. While adult ECG has made several advances in modern medicine, noninvasive fetal electrocardiography (FECG) remains a great challenge. In this paper, we introduce a new method based on affine combinations of adaptive filters to extract FECG signals. The affine combination of multiple filters is able to precisely fit the reference signal, and thus obtain more accurate FECGs. We proposed a method to combine the Least Mean Square (LMS) and Recursive Least Squares (RLS) filters. Our approach found that the Combined Recursive Least Squares (CRLS) filter achieves the best performance among all proposed combinations. In addition, we found that CRLS is more advantageous in extracting FECG from abdominal electrocardiograms (AECG) with a small signal-to-noise ratio (SNR). Compared with the state-of-the-art Multiple Sub-Filter Adaptive Noise Canceller (MSF-ANC) method, CRLS shows improved performance. The sensitivity, accuracy and F1 score are improved by 3.58%, 2.39% and 1.36%, respectively.
AB - The detection of abnormal fetal heartbeats during pregnancy is important for monitoring the health conditions of the fetus. While adult ECG has made several advances in modern medicine, noninvasive fetal electrocardiography (FECG) remains a great challenge. In this paper, we introduce a new method based on affine combinations of adaptive filters to extract FECG signals. The affine combination of multiple filters is able to precisely fit the reference signal, and thus obtain more accurate FECGs. We proposed a method to combine the Least Mean Square (LMS) and Recursive Least Squares (RLS) filters. Our approach found that the Combined Recursive Least Squares (CRLS) filter achieves the best performance among all proposed combinations. In addition, we found that CRLS is more advantageous in extracting FECG from abdominal electrocardiograms (AECG) with a small signal-to-noise ratio (SNR). Compared with the state-of-the-art Multiple Sub-Filter Adaptive Noise Canceller (MSF-ANC) method, CRLS shows improved performance. The sensitivity, accuracy and F1 score are improved by 3.58%, 2.39% and 1.36%, respectively.
KW - affine combination
KW - combination of adaptive filter
KW - noninvasive FECG extraction
UR - http://www.scopus.com/inward/record.url?scp=85174101861&partnerID=8YFLogxK
U2 - 10.1109/ICASSP49357.2023.10095885
DO - 10.1109/ICASSP49357.2023.10095885
M3 - Conference paper
AN - SCOPUS:85174101861
T3 - International Conference on Acoustics, Speech and Signal Processing - Proceedings
BT - IEEE ICASSP 2023 Conference Proceedings
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - United States
T2 - 48th IEEE International Conference on Acoustics, Speech and Signal Processing
Y2 - 4 June 2023 through 10 June 2023
ER -