Time-frequency characterization of tri-axial accelerometer data for fetal movement detection

M. S. Khlif; B. Boashash; S. Layeghy; T. Ben-Jabeur; M. Mesbah; C. East; P. Colditz

doi:10.1109/ISSPIT.2011.6151607

Time-frequency characterization of tri-axial accelerometer data for fetal movement detection

M. S. Khlif^*, B. Boashash, S. Layeghy, T. Ben-Jabeur, M. Mesbah, C. East, P. Colditz

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

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	https://doi.org/10.1109/ISSPIT.2011.6151607
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

Keywords

Accelerometer
detection
fetal movement
modified B distribution
quadratic TFDs
Spectrogram
time-frequency analysis

ASJC Scopus subject areas

Information Systems
Signal Processing

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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

Khlif, MS, Boashash, B, Layeghy, S, Ben-Jabeur, T, Mesbah, M, East, C & Colditz, P 2011, Time-frequency characterization of tri-axial accelerometer data for fetal movement detection. in IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011., 6151607, pp. 466-471, 11th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011, Bilbao, Spain, 12/14/11. https://doi.org/10.1109/ISSPIT.2011.6151607

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title = "Time-frequency characterization of tri-axial accelerometer data for fetal movement detection",

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.",

keywords = "Accelerometer, detection, fetal movement, modified B distribution, quadratic TFDs, Spectrogram, time-frequency analysis",

author = "Khlif, {M. S.} and B. Boashash and S. Layeghy and T. Ben-Jabeur and M. Mesbah and C. East and P. Colditz",

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AU - Khlif, M. S.

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AU - Mesbah, M.

AU - East, C.

AU - Colditz, P.

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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.

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KW - fetal movement

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KW - quadratic TFDs

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ER -

Time-frequency characterization of tri-axial accelerometer data for fetal movement detection

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Keywords

ASJC Scopus subject areas

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