Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry

Author

Layeghy, Siamak ; Azemi, Ghasem ; Colditz, Paul ; Boashash, Boualem

Author_Institution

Centre for Clinical Res., Univ. of Queensland, Brisbane, QLD, Australia

fYear

2014

fDate

4-9 May 2014

Firstpage

4379

Lastpage

4383

Abstract

This paper presents a time-frequency approach for fetal movement monitoring which is based on the instantaneous amplitude (IA) and instantaneous frequency (IF) of signals collected using 3axial accelerometers placed over the maternal abdomen. Results of a feature selection method based on receiver operating characteristic analysis shows that the mean of the IAs and deviation of the Ifs outperform other features. A support vector machine based classifier which uses these 2 features exhibits a total accuracy of 96.6% with reasonably high sensitivity and specificity.

Keywords

accelerometers; feature selection; medical signal processing; obstetrics; patient monitoring; sensitivity analysis; signal classification; support vector machines; time-frequency analysis; 3axial accelerometers; feature selection method; fetal movement monitoring; instantaneous signal amplitude; instantaneous signal frequency; receiver operating characteristic analysis; support vector machine based classifier; time-frequency approach; Acoustics; Conferences; Speech; Speech processing; Accelerometry; Fetal Movement; Instantaneous Amplitude; Instantaneous Frequency; Support Vector Machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on

Conference_Location

Florence

Type

conf

DOI

10.1109/ICASSP.2014.6854429

Filename

6854429