Detecting fetal movements using non-invasive accelerometers

A preliminary analysis

Thomas Girier, John O'Toole, Mostefa Mesbah, Boualem Boashash, Ian Clough, Stephen Wilson, Miguel Fuentes, Susan Callan, Christine East, Paul Colditz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

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 languageEnglish
Title of host publication10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Pages508-511
Number of pages4
DOIs
Publication statusPublished - 2010
Event10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 - Kuala Lumpur, Malaysia
Duration: May 10 2010May 13 2010

Other

Other10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
CountryMalaysia
CityKuala Lumpur
Period5/10/105/13/10

Fingerprint

Fetal monitoring
Accelerometers
Health
Frequency bands
Ultrasonics
Imaging techniques
Costs

Keywords

  • Acceleration measurement
  • Biomedical signal processing
  • Filtering
  • Signal detection component
  • Statistics

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing

Cite this

Girier, T., O'Toole, J., Mesbah, M., Boashash, B., Clough, I., Wilson, S., ... Colditz, P. (2010). Detecting fetal movements using non-invasive accelerometers: A preliminary analysis. In 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 (pp. 508-511). [5605602] https://doi.org/10.1109/ISSPA.2010.5605602

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 proceedingConference contribution

Girier, T, O'Toole, J, Mesbah, M, Boashash, B, Clough, I, Wilson, S, Fuentes, M, Callan, S, East, C & Colditz, P 2010, Detecting fetal movements using non-invasive accelerometers: A preliminary analysis. in 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010., 5605602, pp. 508-511, 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010, Kuala Lumpur, Malaysia, 5/10/10. https://doi.org/10.1109/ISSPA.2010.5605602
Girier T, O'Toole J, Mesbah M, Boashash B, Clough I, Wilson S et al. Detecting fetal movements using non-invasive accelerometers: A preliminary analysis. In 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. p. 508-511. 5605602 https://doi.org/10.1109/ISSPA.2010.5605602
Girier, Thomas ; O'Toole, John ; Mesbah, Mostefa ; Boashash, Boualem ; Clough, Ian ; Wilson, Stephen ; Fuentes, Miguel ; Callan, Susan ; East, Christine ; Colditz, Paul. / Detecting fetal movements using non-invasive accelerometers : A preliminary analysis. 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. pp. 508-511
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