Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling
During labour, foetal monitoring enables clinicians to prevent potential adverse outcomes, whose surveillance procedure is commonly based on analysis of cardiotocographic (CTG) signals. Unfortunately, this procedure is difficult because it involves human interpretation of highly complex signals. In...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2018-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2018-0139 |
| _version_ | 1828099735063363584 |
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| author | Fuentealba Patricio Illanes Alfredo Ortmeier Frank |
| author_facet | Fuentealba Patricio Illanes Alfredo Ortmeier Frank |
| author_sort | Fuentealba Patricio |
| collection | DOAJ |
| description | During labour, foetal monitoring enables clinicians to prevent potential adverse outcomes, whose surveillance procedure is commonly based on analysis of cardiotocographic (CTG) signals. Unfortunately, this procedure is difficult because it involves human interpretation of highly complex signals. In order to improve the CTG assessment, different approaches based on signal processing techniques have been proposed. However, most of them do not consider the progression of the foetal response over time. In this work, we propose to study such progression along the foetal heart rate (FHR) signal by using spectral analysis based on time-varying autoregressive modelling. The main idea is to investigate if a particular FHR signal episode in the time-domain reflects dynamical changes in the frequency-domain that can help to assess the foetal condition. Results show that each FHR deceleration leaves a particular time-varying frequency signature described by the spectral energy components which could help to distinguish between a normal and a pathological foetus. |
| first_indexed | 2024-04-11T08:18:11Z |
| format | Article |
| id | doaj.art-78b438afa5ee4b89a0924dbd8c96d947 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-11T08:18:11Z |
| publishDate | 2018-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-78b438afa5ee4b89a0924dbd8c96d9472022-12-22T04:35:04ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042018-09-014157958210.1515/cdbme-2018-0139cdbme-2018-0139Foetal heart rate signal spectral analysis by using time-varying autoregressive modellingFuentealba Patricio0Illanes Alfredo1Ortmeier Frank2Otto-von-Guericke University, Postfach 4120, 39106,Magdeburg, GermanyOtto-von-Guericke University,Magdeburg, GermanyOtto-von-Guericke University,Magdeburg, GermanyDuring labour, foetal monitoring enables clinicians to prevent potential adverse outcomes, whose surveillance procedure is commonly based on analysis of cardiotocographic (CTG) signals. Unfortunately, this procedure is difficult because it involves human interpretation of highly complex signals. In order to improve the CTG assessment, different approaches based on signal processing techniques have been proposed. However, most of them do not consider the progression of the foetal response over time. In this work, we propose to study such progression along the foetal heart rate (FHR) signal by using spectral analysis based on time-varying autoregressive modelling. The main idea is to investigate if a particular FHR signal episode in the time-domain reflects dynamical changes in the frequency-domain that can help to assess the foetal condition. Results show that each FHR deceleration leaves a particular time-varying frequency signature described by the spectral energy components which could help to distinguish between a normal and a pathological foetus.https://doi.org/10.1515/cdbme-2018-0139foetal monitoringcardiotocographfhrautoregressive modeltime-varying spectral analysis |
| spellingShingle | Fuentealba Patricio Illanes Alfredo Ortmeier Frank Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling Current Directions in Biomedical Engineering foetal monitoring cardiotocograph fhr autoregressive model time-varying spectral analysis |
| title | Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling |
| title_full | Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling |
| title_fullStr | Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling |
| title_full_unstemmed | Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling |
| title_short | Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling |
| title_sort | foetal heart rate signal spectral analysis by using time varying autoregressive modelling |
| topic | foetal monitoring cardiotocograph fhr autoregressive model time-varying spectral analysis |
| url | https://doi.org/10.1515/cdbme-2018-0139 |
| work_keys_str_mv | AT fuentealbapatricio foetalheartratesignalspectralanalysisbyusingtimevaryingautoregressivemodelling AT illanesalfredo foetalheartratesignalspectralanalysisbyusingtimevaryingautoregressivemodelling AT ortmeierfrank foetalheartratesignalspectralanalysisbyusingtimevaryingautoregressivemodelling |