Fetal QRS detection and heart rate estimation: a wavelet-based approach

• Tipo: Artigo em Revista Científica Internacional
• Data: 2014

Autores

Almeida, R (Autor) FCUP; Hernani Goncalves (Autor) Outra; Joao Bernardes (Autor) Outra; Ana Paula Rocha (Autor) FCUP

Revista

Título: Physiological Measurement

Vol. 35

Páginas: 1723-1735

ISSN: 0967-3334

Editora: Institute of Physics Publishing

Indexação

ISI Web of Knowledge - 29 Citações

Scopus - 36 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Biotecnologia ambiental

Outras Informações

ID Authenticus: P-009-RX2

DOI: 10.1088/0967-3334/35/8/1723

Abstract (EN): Fetal heart rate monitoring is used for pregnancy surveillance in obstetric units all over the world but in spite of recent advances in analysis methods, there are still inherent technical limitations that bound its contribution to the improvement of perinatal indicators. In this work, a previously published wavelet transform based QRS detector, validated over standard electrocardiogram (ECG) databases, is adapted to fetal QRS detection over abdominal fetal ECG. Maternal ECG waves were first located using the original detector and afterwards a version with parameters adapted for fetal physiology was applied to detect fetal QRS, excluding signal singularities associated with maternal heartbeats. Single lead (SL) based marks were combined in a single annotator with post processing rules (SLR) from which fetal RR and fetal heart rate (FHR) measures can be computed. Data from PhysioNet with reference fetal QRS locations was considered for validation, with SLR outperforming SL including ICA based detections. The error in estimated FHR using SLR was lower than 20 bpm for more than 80% of the processed files. The median error in 1 min based FHR estimation was 0.13 bpm, with a correlation between reference and estimated FHR of 0.48, which increased to 0.73 when considering only records for which estimated FHR > 110 bpm. This allows us to conclude that the proposed methodology is able to provide a clinically useful estimation of the FHR.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13