Unknown

Dataset Information

0

Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal.


ABSTRACT: Fetal electrocardiography is among the most promising methods of modern electronic fetal monitoring. However, before they can be fully deployed in the clinical practice as a gold standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount of articles dealing with improving the quality of the fetal electrocardiogram signal acquired from the abdominal recordings have been introduced. This article aims to present an extensive literature survey of different non-adaptive signal processing methods applied for fetal electrocardiogram extraction and enhancement. It is limiting that a different non-adaptive method works well for each type of signal, but independent component analysis, principal component analysis and wavelet transforms are the most commonly published methods of signal processing and have good accuracy and speed of algorithms.

SUBMITTER: Jaros R 

PROVIDER: S-EPMC6263968 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal.

Jaros Rene R   Martinek Radek R   Kahankova Radana R  

Sensors (Basel, Switzerland) 20181027 11


Fetal electrocardiography is among the most promising methods of modern electronic fetal monitoring. However, before they can be fully deployed in the clinical practice as a gold standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount of articles dealing with improving the quality of the fetal electrocardiogram signal acquired from the abdominal recordings have been introduced. This article aims to present an extensive literature su  ...[more]

Similar Datasets

| S-EPMC5432652 | biostudies-literature
| S-EPMC9270428 | biostudies-literature
| S-EPMC5743703 | biostudies-literature
| S-EPMC5988877 | biostudies-literature
| S-EPMC6921435 | biostudies-literature
| S-EPMC8363249 | biostudies-literature
| S-EPMC4670718 | biostudies-literature
| S-EPMC2422839 | biostudies-literature
| S-EPMC8467935 | biostudies-literature
| S-EPMC2993898 | biostudies-literature