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Adam Matonia

Researcher at Instituto Tecnológico Autónomo de México

Publications -  77
Citations -  1080

Adam Matonia is an academic researcher from Instituto Tecnológico Autónomo de México. The author has contributed to research in topics: Fetal Heart Rate Variability & Uterine contraction. The author has an hindex of 16, co-authored 77 publications receiving 867 citations.

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Determination of fetal heart rate from abdominal signals: evaluation of beat-to-beat accuracy in relation to the direct fetal electrocardiogram.

TL;DR: Investigations confirmed that abdominal electrocardiography, even in its current stage of development, offers an accuracy equal to or higher than an ultrasound method, at the same time providing some additional features.
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Quantitative analysis of contraction patterns in electrical activity signal of pregnant uterus as an alternative to mechanical approach.

TL;DR: The obtained results show that both methods demonstrate high agreement in relation to the number of contractions recognized as being consistent, and the appropriate way of further development of electrohysterography seems to be spectral analysis.
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A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography

TL;DR: This review highlights key developments in advanced signal processing algorithms for non-invasive fECG extraction and the available open access resources and the advantages and limitations of these algorithms as well as key parameters that must be set to ensure their optimal performance.
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Computerized analysis of fetal heart rate signals as the predictor of neonatal acidemia

TL;DR: A two-step analysis of fetal heart rate recordings that allows for effective prediction of the acidemia risk and the obtained results confirm the efficacy of the proposed methods of computerized analysis of FHR signals in the evaluation of the risk of neonatal acidemia.
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Towards noise immune detection of fetal QRS complexes

TL;DR: Application of normalized matched filtering to fetal QRS complexes enhancement and a new approach to the final detection of the complexes allow a significant increase of the detection performance for signals of very different quality.