Fetal Movement Identification Using Spectrograms with Attention Aided Models and Identifying a Set of Correlating Parameters with Gestational Age-Reference-Cited by-同舟云学术

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Fetal Movement Identification Using Spectrograms with Attention Aided Models and Identifying a Set of Correlating Parameters with Gestational Age

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS)
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Author:

Thilakasiri L.B I.P.¹,Alwis D.M.P.M.¹,Nanayakkara R.T.¹,Godaliyadda G.M.R.I.¹,Ekanayake M.P.B.¹,Wijayakulasooriya J. V.¹,Rathnayake R.M.C.J.²

Affiliation:

1. University of Peradeniya,Faculty of Engineering,Department of Electrical and Electronic Engineering

2. University of Peradeniya,Faculty of Medicine,Department Obstetrics & Gynaecology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10253467/10253461/10253579.pdf?arnumber=10253579

Reference23 articles.

1. Non Invasive Wearable Device for Fetal Movement Detection

2. Features of Synchronous Registration of Fetal Movements Episodes

3. A Global Geometric Framework for Nonlinear Dimensionality Reduction

4. Fetal Movement Identification from Multi-Accelerometer Measurements using Recurrent Neural Networks

5. Fetal Movement Detection using Long Short-Term Memory Network

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