Extraction of the Fetal Pulse Curve for Transabdominal Pulse Oximetry using Adaptive and Comb Filters

Böttrich, Marcel; Husar, Peter

doi:10.1109/embc.2019.8856292

Cited by 4 publications

(7 citation statements)

References 10 publications

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“…1. The approach is based on the system presented in our previous work [7]. A reference signal of the mother and the abdominally measured mixed signal are fed into an adaptive noise canceller (ANC).…”

Section: A Signal Processing Strategymentioning

confidence: 99%

“…A reference signal of the mother and the abdominally measured mixed signal are fed into an adaptive noise canceller (ANC). The ANC is based on an recursive least squares (RLS) algorithm, using a filter order of 50 and an initial input covariance estimate of 0.00001 [7]. The resulting signal is used to get an estimate of the fetal heart rate in the frequency domain.…”

Section: A Signal Processing Strategymentioning

confidence: 99%

“…To overcome the influence of noise and other disturbances, a multichannel dataset may be used to clearly identify the fetal component. Based on the strategy presented in [7], a comb filter is designed and applied to the signal in order to finally suppress all undesired components except the fetal PPG. It has been demonstrated earlier that the quality of the resulting fetal PPG is sufficient for time domain analysis and single pulse detection [7].…”

Section: A Signal Processing Strategymentioning

confidence: 99%

“…Based on the strategy presented in [7], a comb filter is designed and applied to the signal in order to finally suppress all undesired components except the fetal PPG. It has been demonstrated earlier that the quality of the resulting fetal PPG is sufficient for time domain analysis and single pulse detection [7]. The following processing module added to the current strategy is the synchronous averager.…”

Section: A Signal Processing Strategymentioning

confidence: 99%

“…Following the principle of pulse oximetry, the resulting fetal PPG needs to be of high quality to clearly identify the signal level during systole and diastole of the fetus to conclude about the oxygen saturation. Our previous work focused on the estimation of the fetal heart rate in time and frequency domain by using adaptive noise canceller and comb filters [8], [7]. We were able to extract the synthetically generated fetal signals and to identify single pulses in time domain.…”

Section: Introductionmentioning

confidence: 99%

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Estimating the Shape of the Fetal Pulse Curve for Transabdominal Pulse Oximetry using Synchronous Averaging

Böttrich

Laqua

Husar

2020

2020 42nd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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A sufficient oxygen supply of the fetus is necessary for a proper development of the organs. Transabdominal fetal pulse oximetry is a method that allows to measure the oxygenation of the fetal blood non-invasively by placing the light sources and photodetectors on the belly of the pregnant woman. The shape of the measured fetal pulse wave is needed to extract parameters for the estimation of the oxygen saturation. This work presents an extension of our previously presented signal processing strategy that allows to extract an average shape of the fetal pulse wave from noisy mixed photoplethysmograms (PPG) with dominating maternal and very weak fetal signal components. An adaptive noise canceller and a comb filter are used to suppress the maternal component. The quality of the resulting fetal signal is sufficient to identify single pulse waves in time domain. Further processing demonstrates the extraction of the mean shape of a single fetal pulse wave by synchronous averaging of several detected pulses. The method is evaluated with different datasets of several simulated and synthetic signals measured with a tissue mimicking phantom. The feasibility of the approach is demonstrated by preparing the mixed PPGs to perform fetal pulse oximetry in future studies. However, clinical measurements are needed to finally evaluate the proposed system beyond synthetic datasets.

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Section: A Signal Processing Strategymentioning

confidence: 99%

Section: A Signal Processing Strategymentioning

confidence: 99%

Section: A Signal Processing Strategymentioning

confidence: 99%

Section: A Signal Processing Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimating the Shape of the Fetal Pulse Curve for Transabdominal Pulse Oximetry using Synchronous Averaging

Böttrich

Laqua

Husar

2020

2020 42nd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Review of optical methods for fetal monitoring in utero

Gunther

Jayet

Sekar

et al. 2022

Journal of Biophotonics

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The current technology for monitoring fetal wellbeing during child birth is cardiotocography. However, CTG has high false positive rates that lead to unnecessary emergency Cesarean deliveries and false negatives that result in birth injuries. To curtail these issues, fetal pulse oximetery has been a topic of interest for many decades. Fetal pulse oximetry would yield the oxygen saturation of the fetus in utero and provide a more robust marker for clinicians to make decisions about performing emergency Cesarean deliveries. Here, we present a review of biomedical optical developments related to transabdominal fetal pulse oximetery in the biophotonics field and the challenges that must be overcome to make transabdominal pulse oximetry a clinical reality.

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