Annotated real and synthetic datasets for non-invasive foetal electrocardiography post-processing benchmarking
| Autor: | Luigi Raffo, Giulia Baldazzi, Roberto Tumbarello, Monica Urru, Danilo Pani, Eleonora Sulas |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Signal processing
Computer science Noise reduction lcsh:Computer applications to medicine. Medical informatics Signal 03 medical and health sciences 0302 clinical medicine medicine Instrumental noise lcsh:Science (General) Biopotential recordings Data Article 030304 developmental biology 0303 health sciences Denoising Multidisciplinary medicine.diagnostic_test business.industry Non invasive fECG post-processing Pattern recognition Non-invasive fECG Adaptive filter Abdominal ECG lcsh:R858-859.7 Extraction methods Artificial intelligence business Electrocardiography 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 33, Iss, Pp 106399-(2020) Data in Brief |
| ISSN: | 2352-3409 |
| Popis: | Non-invasive foetal electrocardiography (fECG) can be obtained at different gestational ages by means of surface electrodes applied on the maternal abdomen. The signal-to-noise ratio (SNR) of the fECG is usually low, due to the small size of the foetal heart, the foetal-maternal compartment, the maternal physiological interferences and the instrumental noise. Even after powerful fECG extraction algorithms, a post-processing step could be required to improve the SNR of the fECG signal. In order to support the researchers in the field, this work presents an annotated dataset of real and synthetic signals, which was used for the study “Wavelet Denoising as a Post-Processing Enhancement Method for Non-Invasive Foetal Electrocardiography” [1] . Specifically, 21 15 s-long fECG, dual-channel signals obtained by multi-reference adaptive filtering from real electrophysiological recordings were included. The annotation of the foetal R peaks by an expert cardiologist was also provided. Recordings were performed on 17 voluntary pregnant women between the 21st and the 27th week of gestation. The raw recordings were also included for the researchers interested in applying a different fECG extraction algorithm. Moreover, 40 10 s-long synthetic non-invasive fECG were provided, simulating the electrode placement of one of the abdominal leads used for the real dataset. The annotation of the foetal R peaks was also provided, as generated by the FECGSYN tool used for the signals’ creation. Clean fECG signals were also included for the computation of indexes of signal morphology preservation. All the signals are sampled at 2048 Hz. The data provided in this work can be used as a benchmark for fECG post-processing techniques but can also be used as raw signals for researchers interested in foetal QRS detection algorithms and fECG extraction methods. |
| Databáze: | OpenAIRE |
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