A comparative study of single-channel signal processing methods in fetal phonocardiography.
Fetal phonocardiography is a non-invasive, completely passive and low-cost method based on sensing acoustic signals from the maternal abdomen. However, different types of interference are sensed along with the desired fetal phonocardiography. This study focuses on the comparison of fetal phonocardio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0269884 |
| _version_ | 1798035970759589888 |
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| author | Katerina Barnova Radana Kahankova Rene Jaros Martina Litschmannova Radek Martinek |
| author_facet | Katerina Barnova Radana Kahankova Rene Jaros Martina Litschmannova Radek Martinek |
| author_sort | Katerina Barnova |
| collection | DOAJ |
| description | Fetal phonocardiography is a non-invasive, completely passive and low-cost method based on sensing acoustic signals from the maternal abdomen. However, different types of interference are sensed along with the desired fetal phonocardiography. This study focuses on the comparison of fetal phonocardiography filtering using eight algorithms: Savitzky-Golay filter, finite impulse response filter, adaptive wavelet transform, maximal overlap discrete wavelet transform, variational mode decomposition, empirical mode decomposition, ensemble empirical mode decomposition, and complete ensemble empirical mode decomposition with adaptive noise. The effectiveness of those methods was tested on four types of interference (maternal sounds, movement artifacts, Gaussian noise, and ambient noise) and eleven combinations of these disturbances. The dataset was created using two synthetic records r01 and r02, where the record r02 was loaded with higher levels of interference than the record r01. The evaluation was performed using the objective parameters such as accuracy of the detection of S1 and S2 sounds, signal-to-noise ratio improvement, and mean error of heart interval measurement. According to all parameters, the best results were achieved using the complete ensemble empirical mode decomposition with adaptive noise method with average values of accuracy = 91.53% in the detection of S1 and accuracy = 68.89% in the detection of S2. The average value of signal-to-noise ratio improvement achieved by complete ensemble empirical mode decomposition with adaptive noise method was 9.75 dB and the average value of the mean error of heart interval measurement was 3.27 ms. |
| first_indexed | 2024-04-11T21:05:59Z |
| format | Article |
| id | doaj.art-82aee2155e11496aa1e7f41df614b088 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-11T21:05:59Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-82aee2155e11496aa1e7f41df614b0882022-12-22T04:03:16ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01178e026988410.1371/journal.pone.0269884A comparative study of single-channel signal processing methods in fetal phonocardiography.Katerina BarnovaRadana KahankovaRene JarosMartina LitschmannovaRadek MartinekFetal phonocardiography is a non-invasive, completely passive and low-cost method based on sensing acoustic signals from the maternal abdomen. However, different types of interference are sensed along with the desired fetal phonocardiography. This study focuses on the comparison of fetal phonocardiography filtering using eight algorithms: Savitzky-Golay filter, finite impulse response filter, adaptive wavelet transform, maximal overlap discrete wavelet transform, variational mode decomposition, empirical mode decomposition, ensemble empirical mode decomposition, and complete ensemble empirical mode decomposition with adaptive noise. The effectiveness of those methods was tested on four types of interference (maternal sounds, movement artifacts, Gaussian noise, and ambient noise) and eleven combinations of these disturbances. The dataset was created using two synthetic records r01 and r02, where the record r02 was loaded with higher levels of interference than the record r01. The evaluation was performed using the objective parameters such as accuracy of the detection of S1 and S2 sounds, signal-to-noise ratio improvement, and mean error of heart interval measurement. According to all parameters, the best results were achieved using the complete ensemble empirical mode decomposition with adaptive noise method with average values of accuracy = 91.53% in the detection of S1 and accuracy = 68.89% in the detection of S2. The average value of signal-to-noise ratio improvement achieved by complete ensemble empirical mode decomposition with adaptive noise method was 9.75 dB and the average value of the mean error of heart interval measurement was 3.27 ms.https://doi.org/10.1371/journal.pone.0269884 |
| spellingShingle | Katerina Barnova Radana Kahankova Rene Jaros Martina Litschmannova Radek Martinek A comparative study of single-channel signal processing methods in fetal phonocardiography. PLoS ONE |
| title | A comparative study of single-channel signal processing methods in fetal phonocardiography. |
| title_full | A comparative study of single-channel signal processing methods in fetal phonocardiography. |
| title_fullStr | A comparative study of single-channel signal processing methods in fetal phonocardiography. |
| title_full_unstemmed | A comparative study of single-channel signal processing methods in fetal phonocardiography. |
| title_short | A comparative study of single-channel signal processing methods in fetal phonocardiography. |
| title_sort | comparative study of single channel signal processing methods in fetal phonocardiography |
| url | https://doi.org/10.1371/journal.pone.0269884 |
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