Abstract
Monitoring fetal movement is important to assess fetal health. Standard clinical fetal monitoring technologies include ultrasound imaging and cardiotocography. Both have limited prognostic value and require significant health resources. We have recently developed a low-cost, passive, non-invasive system to monitor fetal activity, and therefore fetal health. This accelerometer-based system does not require trained operators and can be used outside a clinic. This work is a preliminary study to develop a method to automatically detect fetal movement using this new accelerometer system. We assess the efficacy of using a threshold method over a range of different frequency bands. We also examine using a set of statistical features for a detection method. Our results indicate that neither method performs sufficiently well to automatically detect fetal movement.
| Original language | English |
|---|---|
| Title of host publication | 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 |
| Pages | 508-511 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 - Kuala Lumpur, Malaysia Duration: May 10 2010 → May 13 2010 |
Other
| Other | 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 |
|---|---|
| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 5/10/10 → 5/13/10 |
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Keywords
- Acceleration measurement
- Biomedical signal processing
- Filtering
- Signal detection component
- Statistics
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Signal Processing
Cite this
Detecting fetal movements using non-invasive accelerometers : A preliminary analysis. / Girier, Thomas; O'Toole, John; Mesbah, Mostefa; Boashash, Boualem; Clough, Ian; Wilson, Stephen; Fuentes, Miguel; Callan, Susan; East, Christine; Colditz, Paul.
10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. p. 508-511 5605602.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Detecting fetal movements using non-invasive accelerometers
T2 - A preliminary analysis
AU - Girier, Thomas
AU - O'Toole, John
AU - Mesbah, Mostefa
AU - Boashash, Boualem
AU - Clough, Ian
AU - Wilson, Stephen
AU - Fuentes, Miguel
AU - Callan, Susan
AU - East, Christine
AU - Colditz, Paul
PY - 2010
Y1 - 2010
N2 - Monitoring fetal movement is important to assess fetal health. Standard clinical fetal monitoring technologies include ultrasound imaging and cardiotocography. Both have limited prognostic value and require significant health resources. We have recently developed a low-cost, passive, non-invasive system to monitor fetal activity, and therefore fetal health. This accelerometer-based system does not require trained operators and can be used outside a clinic. This work is a preliminary study to develop a method to automatically detect fetal movement using this new accelerometer system. We assess the efficacy of using a threshold method over a range of different frequency bands. We also examine using a set of statistical features for a detection method. Our results indicate that neither method performs sufficiently well to automatically detect fetal movement.
AB - Monitoring fetal movement is important to assess fetal health. Standard clinical fetal monitoring technologies include ultrasound imaging and cardiotocography. Both have limited prognostic value and require significant health resources. We have recently developed a low-cost, passive, non-invasive system to monitor fetal activity, and therefore fetal health. This accelerometer-based system does not require trained operators and can be used outside a clinic. This work is a preliminary study to develop a method to automatically detect fetal movement using this new accelerometer system. We assess the efficacy of using a threshold method over a range of different frequency bands. We also examine using a set of statistical features for a detection method. Our results indicate that neither method performs sufficiently well to automatically detect fetal movement.
KW - Acceleration measurement
KW - Biomedical signal processing
KW - Filtering
KW - Signal detection component
KW - Statistics
UR - http://www.scopus.com/inward/record.url?scp=78650285156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650285156&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2010.5605602
DO - 10.1109/ISSPA.2010.5605602
M3 - Conference contribution
SN - 9781424471676
SP - 508
EP - 511
BT - 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
ER -