Fetal electrocardiography extraction with residual convolutional encoder–decoder networks

Springer Science and Business Media LLC - Tập 42 Số 4 - Trang 1081-1089 - 2019
Wei Zhong1,2, Liao Lijuan1,3, Xuemei Guo1,2, Guoli Wang1,2
1Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China
2School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China
3School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, China

Tóm tắt

Từ khóa


Tài liệu tham khảo

Adkins RM, Krushkal J, Somes G, Fain J, Morrison J, Klauser C, Magann EF (2009) Extensive parent-of-origin genetic effects on fetal growth. BMC Bioinform 10(7):A13. https://doi.org/10.1186/1471-2105-10-S7-A13

Andreotti F, Behar J, Zaunseder S, Oster J, Clifford GD (2016) An open-source framework for stress-testing non-invasive foetal ecg extraction algorithms. Physiol Meas 37(5):627

Assaleh K (2007) Extraction of fetal electrocardiogram using adaptive neuro-fuzzy inference systems. IEEE Trans Biomed Eng 54(1):59–68

Begg R, Kamruzzaman J (2006) Neural networks for detection and classification of walking pattern changes due to ageing. Australas Phys Eng Sci Med 29(2):188. https://doi.org/10.1007/BF03178892

Behar J, Andreotti F, Zaunseder S, Oster J, D Clifford G (2016) A practical guide to non-invasive foetal electrocardiogram extraction and analysis. Physiol Meas 37(5):R1–R35. https://doi.org/10.1088/0967-3334/37/5/r1

Behar J, Johnson A, Clifford GD, Oster J (2014) A comparison of single channel fetal ecg extraction methods. Ann Biomed Eng 42(6):1340–1353

Behar J, Oster J, Clifford GD (2013) Non-invasive fecg extraction from a set of abdominal sensors. Comput Cardiol 2013:297–300

Bhutta Z, Yakoob M, E Lawn J, Rizvi A, Friberg I, Weissman E, Buchmann E, L Goldenberg R (2011) Stillbirths: what difference can we make and at what cost? Lancet 377:1523–1538

Castillo E, Morales DP, García A, Parrilla L, Ruiz VU, Álvarez Bermejo JA (2018) A clustering-based method for single-channel fetal heart rate monitoring. PLoS ONE 13(6):1–22. https://doi.org/10.1371/journal.pone.0199308

Cerutti S, Baselli G, Civardi S, Ferrazzi E, Marconi A, Pagani M, Pardi G (2009) Variability analysis of fetal heart rate signals as obtained from abdominal electrocardiographic recordings. J Perinat Med 14(6):445–452. https://doi.org/10.1515/jpme.1986.14.6.445

Chetham SM, Barker TM, Stafford W (2002) Neural networks in cardiac electrophysiological signal classification. Australas Phys Eng Sci Med 25(3):124. https://doi.org/10.1007/BF03178773

Clifford GD, Silva I, Behar J, Moody GB (2014) Non-invasive fetal ecg analysis. Physiol Meas 35(8):1521

Dessì A, Pani D, Raffo L (2014) An advanced algorithm for fetal heart rate estimation from non-invasive low electrode density recordings. Physiol Meas 35(8):1621

Esteva A, Kuprel B, Novoa R, Ko J, M Swetter S, M Blau H, Thrun S (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542:115–118. https://doi.org/10.1038/nature21056

Goldberger A, Amaral L, Glass L, Hausdorff JM, Ivanov P, Mark R, Mietus J, Moody G, Peng CK, Stanley H (2000) Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals. Circulation 101(23):215–220. https://doi.org/10.1161/01.cir.101.23.e215

Hasan M, Reaz M, Ibrahimy M, Hussain M, Uddin J (2009) Detection and processing techniques of fecg signal for fetal monitoring. Biol Proced Online 11(1):263

Kanjilal PP, Palit S, Saha G (1997) Fetal ecg extraction from single-channel maternal ecg using singular value decomposition. IEEE Trans Biomed Eng 44(1):51–59

Kligfield P, Gettes LS, Bailey JJ, Childers R, Deal BJ, Hancock EW, van Herpen G, Kors JA, Macfarlane P, Mirvis DM, Pahlm O, Rautaharju P, Wagner GS (2007) Recommendations for the standardization and interpretation of the electrocardiogram. Circulation 115(10):1306–1324. https://doi.org/10.1161/circulationaha.106.180200

Lewis MJ (2003) Review of electromagnetic source investigations of the fetal heart. Med Eng Phys 25(10):801–810. https://doi.org/10.1016/S1350-4533(03)00121-8

Liu C, Li P, Di Maria C, Zhao L, Zhang H, Chen Z (2014) A multi-step method with signal quality assessment and fine-tuning procedure to locate maternal and fetal qrs complexes from abdominal ecg recordings. Physiol Meas 35:1665–1683

Najafabadi FS, Zahedi E, Mohd Ali MA (2006) Fetal heart rate monitoring based on independent component analysis. Comput Biol Med 36(3):241–252

Pan J, Tompkins WJ (1985) A real-time qrs detection algorithm. IEEE Trans Biomed Eng BME–32(3):230–236

Sameni R, D Clifford G (2010) A review of fetal ecg signal processing issues and promising directions. Open Pacing Electrophysiol Ther J 3:4–20. https://doi.org/10.2174/1876536x01003010004

Savalia S, Emamian V (2018) Cardiac arrhythmia classification by multi-layer perceptron and convolution neural networks. Bioengineering 5(2):35

Silva I, Behar J, Sameni R, Zhu T, Oster J, Clifford GD, Moody GB (2013) Noninvasive fetal ecg: the physionet/computing in cardiology challenge 2013. Comput Cardiol 2013:149–152

Sriraam N, Tamanna K, Narayan L, Khanum M, Raghu S, Hegde AS, Kumar AB (2018) Multichannel eeg based interictal seizures detection using teager energy with backpropagation neural network classifier. Australas Phys Eng Sci Med 41(4):1047–1055. https://doi.org/10.1007/s13246-018-0694-z

Suzanna M, Rabotti C, Mischi M, Sluijter RJ (2007) A robust fetal ecg detection method for abdominal recordings. Physiol Meas 28(4):373

Vahidi A, Stefanopoulou A, Peng H (2005) Recursive least squares with forgetting for online estimation of vehicle mass and road grade: theory and experiments. Veh Syst Dyn 43(1):31–55. https://doi.org/10.1080/00423110412331290446

Vullings R, Peters CHL, Sluijter RJ, Mischi M, Oei SG (2009) Dynamic segmentation and linear prediction for maternal ecg removal in antenatal abdominal recordings. Physiol Meas 30(3):291

Zarzoso V, Nandi AK (2001) Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation. IEEE Trans Biomed Eng 48(1):12–18. https://doi.org/10.1109/10.900244

Zhong W, Liao L, Guo X, Wang G (2018) A deep learning approach for fetal QRS complex detection. Physiol Meas 39(4):045004