A computer-aided approach to detect the fetal behavioral states using multi-sensor Magnetocardiographic recordings.
Comput Biol Med
; 69: 44-51, 2016 Feb 01.
Article
in En
| MEDLINE
| ID: mdl-26717240
ABSTRACT
We propose a novel computational approach to automatically identify the fetal heart rate patterns (fHRPs), which are reflective of sleep/awake states. By combining these patterns with presence or absence of movements, a fetal behavioral state (fBS) was determined. The expert scores were used as the gold standard and objective thresholds for the detection procedure were obtained using Receiver Operating Characteristics (ROC) analysis. To assess the performance, intraclass correlation was computed between the proposed approach and the mutually agreed expert scores. The detected fHRPs were then associated to their corresponding fBS based on the fetal movement obtained from fetal magnetocardiogaphic (fMCG) signals. This approach may aid clinicians in objectively assessing the fBS and monitoring fetal wellbeing.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pregnancy Trimester, Third
/
Signal Processing, Computer-Assisted
/
Pregnancy
/
Magnetocardiography
/
Fetus
Type of study:
Prognostic_studies
Limits:
Female
/
Humans
Language:
En
Journal:
Comput Biol Med
Year:
2016
Document type:
Article
Affiliation country:
Estados Unidos