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

المؤلفLayeghy S.
المؤلفAzemi G.
المؤلفColditz P.
المؤلفBoashash B.
تاريخ الإتاحة2022-05-31T19:01:36Z
تاريخ النشر2014
اسم المنشورICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/ICASSP.2014.6854429
معرّف المصادر الموحدhttp://hdl.handle.net/10576/31915
الملخصThis 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.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعAccelerometers
Support vector machines
Accelerometry
Feature selection methods
Fetal movements
Instantaneous amplitude
Instantaneous frequency
Receiver operating characteristic analysis
Time frequency features
Time-frequency approach
Signal processing
العنوانNon-invasivemonitoring of fetal movements using time-frequency features of accelerometry
النوعConference Paper
الصفحات4379-4383
dc.accessType Abstract Only


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