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Publication Type : Journal Article
Publisher : Comput Methods Programs Biomed
Source : Comput Methods Programs Biomed, Elsevier, Volume 175, p.193-204 (2019)
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Mechanical Engineering
Verified : No
Year : 2019
BACKGROUND AND OBJECTIVE: This paper proposes a simple yet effective method for the extraction of foetal ECG from abdominal ECG which is necessary due to similar spatial and temporal content of mother and foetal ECG.
METHODS: The proposed algorithm for extraction of foetal ECG (fECG) from abdominal signal uses single channel. Pre-processing of abdominal ECG (abdECG) has been done to eliminate noise and condition the signal. The maternal ECG R-peaks have been detected based on thresholding, first order Gaussian differentiation and zero cross detection on pre-processed signal. Having identified R-peaks and pre-processed signal as base, using Maximum Likelihood Estimation, one beat including QRS complex morphology of maternal ECG (mECG) has been constructed. Extraction of maternal ECG from abdECG is done based on the constructed beat, R-peak locations and its corresponding QRS complex of abdECG. Extracted mECG has been cancelled from abdECG. This results in foetal ECG with residual noise. The noise has been reduced by Polynomial Approximation and Total Variation (PATV) to improve SNR. This approach ensures no loss of partially or completely overlapped fECG signals due to mECG removal. The algorithm is tested on three database namely daISy (DB), Physiobank challenge 2013 (DB) and abdominal and direct foetal ECG database (adfecgdb) of Physiobank (DB).
RESULTS: The algorithm detected no false positives or false negatives with certain channel for DB, DB and DB which shows that the proposed algorithm can achieve good performance. Overall accuracy and sensitivity of the system is 98.53% and 100% for DB. Best accuracy and sensitivity of 97.77% and 98.63% are obtained for DB. Best accuracy of 92.41% and sensitivity of 93.8% are obtained for DB. Correlation coefficient between actual foetal heart rate (fHR) and estimated fHR of 0.66 for DB and 0.59 for DB is obtained. The method has obtained overall F1 score of 99.25% for DB, 96.04% for DB and 94.25% for DB. It has obtained a best MSE of fHR and overall MSE of R-R interval which is 10.8bpm and 2.2 ms for DB, 12bpm and 2.14 ms for DB.
CONCLUSION: The results for different public databases show that the proposed method is capable of providing good results. The foetal QRS, R-peaks and R-R intervals have also been obtained in this method. Thus, it gives a significant contribution in the required area of research.
Cite this Research Publication : R. Gini John and Dr. K. I. Ramachandran, “Extraction of foetal ECG from abdominal ECG by nonlinear transformation and estimations.”, Comput Methods Programs Biomed, vol. 175, pp. 193-204, 2019.