2012
DOI: 10.1016/j.cmpb.2011.11.008
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Simulation of foetal phonocardiographic recordings for testing of FHR extraction algorithms

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Cited by 63 publications
(54 citation statements)
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“…To this aim, "Simulated Fetal PCGs database" [6,11] of PhysioNet [12] containing 37 simulated fPCG affected by different levels of noise. According to Physionet characterization of fPCG signals, SNR ranged from -26.7 dB and -4.4 dB.…”
Section: Discussionmentioning
confidence: 99%
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“…To this aim, "Simulated Fetal PCGs database" [6,11] of PhysioNet [12] containing 37 simulated fPCG affected by different levels of noise. According to Physionet characterization of fPCG signals, SNR ranged from -26.7 dB and -4.4 dB.…”
Section: Discussionmentioning
confidence: 99%
“…Noise is a sum of different contributions: maternal heart sounds, maternal body organs sounds, fetal movements, surrounding environment and additive white Gaussian noise. All fPCG are 8 min long, characterized by a fHR of 140 bpm and belong to the "Simulated Fetal PCGs database" [6,11] of PhysioNet [12] freely accessible on the web under the ODC Public Domain Dedication and License v1.0.…”
Section: Simulated Datamentioning
confidence: 99%
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“…Fiber-optic measurement sensors are resistant to technical artifacts such as electromagnetic interferences; therefore, they can be used in situations where it is impossible to deploy conventional EFM methods, such as during Magnetic Resonance Imaging (MRI) examination [20,21] or in wet environments. The literature shows that this sensor is demonstrably more sensitive [22,23,24,25,26] than the currently used electret microphones [27] (acoustic sensor [28,29]). These properties make fiber-optic sensors very convenient and suitable choices for the measurement of desirable (fPCG) signals.…”
Section: Introductionmentioning
confidence: 99%
“…For comparison, the standard spectrogram with 192 sliding window samples can be seen in figure 8. In order to investigate the performance under more demanding circumstances, a highly noisy simulation of a fetal phonocardiogram (PCG) recording sampled at 1 kHz with an SNR of -15.1dB was put to use [15]. The main objective to demonstrate that sparse reconstruction can also be highly useful in challenging noisy conditions where traditional extrapolation breaks down rapidly.…”
Section: A Audio Test Signalmentioning
confidence: 99%