A Simplified Approach to Identify the Fetal ECG from abdECG and to Measure the fHR

Nair, Ridhu H.; Gini, J Rolant; Ramachandran, K. I.

doi:10.1007/978-3-319-19452-3_7

Cited by 7 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first result is illustrated graphically by Figure 2 due to the implementation of the existing method in [ 105 ]: (a) the channel 2 AbdECG; (b) pre-processed signal; (c) maternal peaks; and (d) FECG.…”

Section: Resultsmentioning

confidence: 99%

“…Some peaks which are detected, although they are actually not true, are categorized as false positives (FPs). An actual peak that is not detected is considered as a false negative (FN) [ 105 ].…”

Section: Resultsmentioning

confidence: 99%

“…Next, in order to further validate our method, and for further assessment, the proposed approach was implemented for channels 3 and 4 of AbdECG. A comparison of the results obtained and those shown in [105] was conducted. Table 1 shows the R-peaks detected by our proposed methods and the one in [105].…”

Section: Discussionmentioning

confidence: 96%

“…A comparison of the results obtained and those shown in [105] was conducted. Table 1 shows the R-peaks detected by our proposed methods and the one in [105]. It is clear that our approach allow the detection of all the peaks present in FECG signal.…”

Section: Discussionmentioning

confidence: 96%

“…The first result is illustrated graphically by Figure 2 due to the implementation of the existing method in [105] Next, in Figure 3, the FECG peaks detected are indicated. A fetal heart rate of 132 bpm (beats per minute) was obtained for channel 2.…”

Section: The Processing Of Daisy Signalsmentioning

confidence: 99%

See 4 more Smart Citations

Clifford Wavelet Entropy for Fetal ECG Extraction

Jallouli

Arfaoui

Mabrouk

et al. 2021

Entropy

View full text Add to dashboard Cite

Analysis of the fetal heart rate during pregnancy is essential for monitoring the proper development of the fetus. Current fetal heart monitoring techniques lack the accuracy in fetal heart rate monitoring and features acquisition, resulting in diagnostic medical issues. The challenge lies in the extraction of the fetal ECG from the mother ECG during pregnancy. This approach has the advantage of being a reliable and non-invasive technique. In the present paper, a wavelet/multiwavelet method is proposed to perfectly extract the fetal ECG parameters from the abdominal mother ECG. In a first step, due to the wavelet/mutiwavelet processing, a denoising procedure is applied to separate the noised parts from the denoised ones. The denoised signal is assumed to be a mixture of both the MECG and the FECG. One of the well-known measures of accuracy in information processing is the concept of entropy. In the present work, a wavelet/multiwavelet Shannon-type entropy is constructed and applied to evaluate the order/disorder of the extracted FECG signal. The experimental results apply to a recent class of Clifford wavelets constructed in Arfaoui, et al. J. Math. Imaging Vis. 2020, 62, 73–97, and Arfaoui, et al.Acta Appl. Math.2020, 170, 1–35.. Additionally, classical Haar–Faber–Schauder wavelets are applied for the purpose of comparison. Two main well-known databases have been applied, the DAISY database and the CinC Challenge 2013 database. The achieved accuracy over the test databases resulted in Se=100%, PPV=100% for FECG extraction and peak detection.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%