A Robust Real-Time Algorithm for Enhancing a Noninvasive Fetal Electrocardiogram

Horner, Steven; Holls, M.W.; Crilly, P.B.

doi:10.1006/dspr.1995.1019

Cited by 14 publications

(2 citation statements)

References 30 publications

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“…With this composite signal, fetal ECG signals are extracted by the rejection of maternal ECG signal, and required FHR is calculated [16]. The major benefits of FECG are that it can provide unobtrusive, longterm and risk-free ambulatory monitoring via small recording units that are simple enough to be used for domiciliary monitoring by the mothers themselves [17]. In FECG recordings are obtained from electrodes attached to the maternal surface, and because of interference from the larger maternal ECG, it has low signal-to-noise ratio (SNR) [18].…”

Section: ) Fetal Electrocardiography (Fecg)mentioning

confidence: 99%

N on - Invasive Feto - Maternal Well - Being Monitoring: A Review of Methods

Queyam¹,

Pahuja²,

Singh³

2017

JESTR

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Monitoring of fetal and maternal well-being is extremely critical during pregnancy and during labor to reduce the occurrence of fetal and maternal distress in high risk pregnancies. There are many approaches to identify and quantify the real-time feto-maternal well-being by measuring physiological parameters viz. fetal movement, fetal temperature, fetal respiration rate, fetal kick count, fetal heart rate, maternal ECG acquired from both chest and abdomen region, uterine contraction, blood SpO2 concentration, amniotic fluid pH etc. In this paper, different techniques to acquire and measure these physiological parameters non-invasively are evaluated and compared for the purpose of monitoring fetomaternal well-being.

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Section: ) Fetal Electrocardiography (Fecg)mentioning

confidence: 99%

N on - Invasive Feto - Maternal Well - Being Monitoring: A Review of Methods

Queyam¹,

Pahuja²,

Singh³

2017

JESTR

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“…Various research efforts have been carried out in the area of FECG and FHR extraction, including subtraction of an averaged pattern [2], matched filtering [3], adaptive filtering [4][5][6], orthogonal basis functions [7], fractals [8], FIR [9], dynamic neural networks [10], temporal structure [11], fuzzy logic [12], frequency tracking [13], polynomial networks [14], and real-time signal processing [15]. The wavelet transform (WT) is another approach that has been proposed for FECGs processing.…”

Section: Introductionmentioning

confidence: 99%

A Method for Fetal Heart Rate Extraction Based on Time-Frequency Analysis

Karvounis

Tsipouras

Fotiadis

et al. 2006

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)

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A three-stage method for fetal heart rate extraction, from abdominal ECG recordings, is proposed. In the first stage the maternal R-peaks and fiducial points (QRS onset and offset) are detected, using time-frequency analysis, and the maternal QRS complexes are eliminated. The second stage locates the positions of the candidate fetal R-peaks, using complex wavelets and pattern matching theory techniques. In the third stage, the fetal R-peaks that overlap with the maternal QRS complexes are found. The method is validated using a dataset of 4 long duration recordings and the obtained results indicate high detection ability of the method (96% accuracy).

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