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 |
|---|---|
| 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 |
|---|---|
| Country | Spain |
| City | Bilbao |
| Period | 12/14/11 → 12/17/11 |
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Keywords
- Accelerometer
- detection
- fetal movement
- modified B distribution
- quadratic TFDs
- Spectrogram
- time-frequency analysis
ASJC Scopus subject areas
- Information Systems
- Signal Processing
Cite this
Time-frequency characterization of tri-axial accelerometer data for fetal movement detection. / Khlif, M. S.; Boashash, B.; Layeghy, S.; Ben-Jabeur, T.; Mesbah, M.; East, C.; Colditz, P.
IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011. 2011. p. 466-471 6151607.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Time-frequency characterization of tri-axial accelerometer data for fetal movement detection
AU - Khlif, M. S.
AU - Boashash, B.
AU - Layeghy, S.
AU - Ben-Jabeur, T.
AU - Mesbah, M.
AU - East, C.
AU - Colditz, P.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Accelerometer
KW - detection
KW - fetal movement
KW - modified B distribution
KW - quadratic TFDs
KW - Spectrogram
KW - time-frequency analysis
UR - http://www.scopus.com/inward/record.url?scp=84857859403&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84857859403&partnerID=8YFLogxK
U2 - 10.1109/ISSPIT.2011.6151607
DO - 10.1109/ISSPIT.2011.6151607
M3 - Conference contribution
SN - 9781467307529
SP - 466
EP - 471
BT - IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011
ER -