Abstract
Monitoring fetal wellbeing is a significant problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity and its well-being. Using data acquired by accelerometry sensors, we use TFDs such as the spectrogram and modified B distribution (MBD) to characterize fetal movements in the time-frequency (TF) domain. This paper reports a fetal activity detection method based on the root-mean-square (RMS) of time series and evaluates its performance against real-time ultrasound imaging, taken as the gold standard. The evaluation showed better performance with the RMS-based detector as compared to maternal perception. The evaluation also showed that the detector performance is age-dependent and that fetal movement is characterized by different TF morphology. Time-frequency distributions (TFDs) with better resolution such as MBD are investigated for TF-based techniques for the detection of fetal movements.
Original language | English |
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Title of host publication | IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011 |
Pages | 466-471 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2011 |
Event | 11th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011 - Bilbao, Spain Duration: Dec 14 2011 → Dec 17 2011 |
Other
Other | 11th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011 |
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Country | Spain |
City | Bilbao |
Period | 12/14/11 → 12/17/11 |
Keywords
- Accelerometer
- detection
- fetal movement
- modified B distribution
- quadratic TFDs
- Spectrogram
- time-frequency analysis
ASJC Scopus subject areas
- Information Systems
- Signal Processing