Key result
The proposed ANFIS-PSF ANC algorithm for fetal ECG extraction achieved a sensitivity of 97.92%, accuracy of 94.52%, positive predictive value of 94.66%, and an F1 score of 96.12%.
Why the study?
Non-invasive extraction of fetal electrocardiogram by processing abdominal signals is emerging as a promising approach in obstetrics and gynecology.
The proposed ANFIS-PSF ANC algorithm demonstrates high accuracy and sensitivity for non-invasive fetal ECG extraction from abdominal signals.
May aid non-invasive fetal monitoring; leaves open prospective clinical validation before practice change.
Non-invasive extraction of fetal electrocardiogram (FECG) by processing the abdominal signals is emerging as a promising approach in the areas of obstetrics and gynecology. This paper presents a two-stage improved non-linear adaptive filter for FECG extraction. The reference input to the adaptive noise canceler (ANC) is first processed using an adaptive neuro-fuzzy inference system (ANFIS) to estimate the non-linear maternal component in abdominal signals. A parallel sub-filter (PSF) ANC is proposed to assess the fetal ECG from the abdominal signal. The PSF-ANC decomposes a single adaptive filter into multiple sub-filters to improve the convergence performance. The filter coefficients of PSF-ANC adaptively obtained using normalised least mean square algorithm by minimizing the mean square error. Different error and common error algorithms are proposed based on the computation of the error signal. A synthetic data from the FECG synthetic database is used to evaluate the convergence performance. Two real-time data from the Daisy database and the Non-invasive FECG database from Physionet are used to evaluate the proposed ANFIS-PSF's performance qualitative and quantitatively. The results justify the performance improvement of proposed ANFIS-PSF ANC compared to the state of art techniques. The proposed scheme achieves a sensitivity of 97.92%, 94.52% accuracy, a positive predictive value of 94.66%, and an F1 score of 96.12%.
No takes yet. Share an insight, caveat, or question.
Krupa et al. (2021) studied Fetal ECG extraction. ANFIS-PSF ANC algorithm vs. State of the art techniques was evaluated on Algorithm performance (sensitivity, accuracy, PPV, F1 score). The proposed ANFIS-PSF ANC algorithm for fetal ECG extraction achieved a sensitivity of 97.92%, accuracy of 94.52%, positive predictive value of 94.66%, and an F1 score of 96.12%.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: