The use of the fetal electrocardiogram in labour

Deans, Anne; Steer, Philip

doi:10.1111/j.1471-0528.1994.tb13003.x

Cited by 27 publications

(6 citation statements)

References 55 publications

(87 reference statements)

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“…It contains the characteristics of the fetus such as heart rate, signal waveform and dynamic behaviours which help in determining the fetal life, fetal development, fetal maturity and existence of fetal distress or congenital heart disease, etc. So by observing above characteristics appropriate treatment is usually performed (Deans & Steer 1994). There are several technical problems associated with the non-invasive extraction of fetal ECG from ECG signals recorded at abdominal surface.…”

Section: Panigrahy and P K Sahumentioning

confidence: 99%

Extraction of fetal electrocardiogram (ECG) by extended state Kalman filtering and adaptive neuro-fuzzy inference system (ANFIS) based on single channel abdominal recording

Panigrahy

Sahu

2015

Sadhana

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Fetal electrocardiogram (ECG) gives information about the health status of fetus and so, an early diagnosis of any cardiac defect before delivery increases the effectiveness of appropriate treatment. In this paper, authors investigate the use of adaptive neuro-fuzzy inference system (ANFIS) with extended Kalman filter for fetal ECG extraction from one ECG signal recorded at the abdominal areas of the mother's skin. The abdominal ECG is considered to be composite as it contains both mother's and fetus' ECG signals. We use extended Kalman filter framework to estimate the maternal component from abdominal ECG. The maternal component in the abdominal ECG signal is a nonlinear transformed version of maternal ECG. ANFIS network has been used to identify this nonlinear relationship, and to align the estimated maternal ECG signal with the maternal component in the abdominal ECG signal. Thus, we extract the fetal ECG component by subtracting the aligned version of the estimated maternal ECG from the abdominal signal. Our results demonstrate the effectiveness of the proposed technique in extracting the fetal ECG component from abdominal signal at different noise levels. The proposed technique is also validated on the extraction of fetal ECG from both actual abdominal recordings and synthetic abdominal recording.

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Section: Panigrahy and P K Sahumentioning

confidence: 99%

Extraction of fetal electrocardiogram (ECG) by extended state Kalman filtering and adaptive neuro-fuzzy inference system (ANFIS) based on single channel abdominal recording

Panigrahy

Sahu

2015

Sadhana

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“…Abnormal fetal heart rate(FHR) can also be detected from fetal ECG, which provides information about breathing of fetus or other problems. Sometimes an abnormal pattern also may mean that an emergency or cesarean delivery is needed [1], [2].…”

Section: Introductionmentioning

confidence: 99%

An efficient method for fetal ECG extraction from single channel abdominal ECG

Panigrahy

Rakshit

Sahu

2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

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In this paper, we have investigated the effectiveness of Particle swarm optimization (PSO) with extended Kalman smoother (EKS) for fetal ECG extraction from single channel electrocardiogram (ECG) recorded at abdominal area of mother s skin. The abdominal ECG is considered to be composite as it contains both mother s and fetus ECG and is dominated by maternal ECG component. To extract the fetal ECG, the cancellation of maternal component and noise in the abdominal ECG is very much required. PSO is used for selection of optimized parameters which are required to model the maternal ECG component according to the abdominal ECG and also to initialize the parameters of EKS. EKS framework is used for extraction of fetal ECG by using single channel abdominal ECG. Our results demonstrate the effectiveness of the proposed technique in extraction of the fetal ECG signal from single channel abdominal signals by using 2 real abdominal ECG database namely DaISY database, non-invasive fetal ECG database. Our proposed method shows accuracy of 89.7%, sensitivity of 93.2%, and positive predictive value of 94.97% for fetal ECG extraction from noninvasive fetal ECG database.

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“…The invasive scalp electrode has proven to be a reliable technique for acquiring the fetal electrocardiogram (FECG) during delivery [1]. From the FECG, physicians can determine fetal heart rate (HR).…”

Section: Introductionmentioning

confidence: 99%

An Effective Technique for Enhancing an Intrauterine Catheter Fetal Electrocardiogram

Horner

Holls

2003

EURASIP J. Adv. Signal Process.

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Physician can obtain fetal heart rate, electrophysiological information, and uterine contraction activity for determining fetal status from an intrauterine catheters electrocardiogram with the maternal electrocardiogram canceled. In addition, the intrauterine catheter would allow physicians to acquire fetal status with one non-invasive to the fetus biosensor as compared to invasive to the fetus scalp electrode and intrauterine pressure catheter used currently. A real-time maternal electrocardiogram cancellation technique of the intrauterine catheters electrocardiogram will be discussed along with an analysis for the methods effectiveness with synthesized and clinical data. The positive results from an original detailed subjective and objective analysis of synthesized and clinical data clearly indicate that the maternal electrocardiogram cancellation method was found to be effective. The resulting intrauterine catheters electrocardiogram from effectively canceling the maternal electrocardiogram could be used for determining fetal heart rate, fetal electrocardiogram electrophysiological information, and uterine contraction activity.

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The use of the fetal electrocardiogram in labour

Cited by 27 publications

References 55 publications

Extraction of fetal electrocardiogram (ECG) by extended state Kalman filtering and adaptive neuro-fuzzy inference system (ANFIS) based on single channel abdominal recording

Extraction of fetal electrocardiogram (ECG) by extended state Kalman filtering and adaptive neuro-fuzzy inference system (ANFIS) based on single channel abdominal recording

An efficient method for fetal ECG extraction from single channel abdominal ECG

An Effective Technique for Enhancing an Intrauterine Catheter Fetal Electrocardiogram

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