An automated pre-term prediction system using EHG signal with the aid of deep learning technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15665-7.pdf
Reference24 articles.
1. Acharya UR, Sudarshan VK, Rong SQ, Tan Z, Lim CM, Koh JE, Nayak S, Bhandary SV (2017) Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals. Comput Biol Med 85:33–42
2. Allahem H, Sampalli S (2022) Automated labour detection framework to monitor pregnant women with a high risk of premature labour using machine learning and deep learning. Inform Med Unlocked 28:100771
3. Beiranvand M, Shahbakhti M, Eslamizadeh M, Bavi M, Mohammadifar S (2017) Investigating wavelet energy vector for pre-term labor detection using EHG signals. In 2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) (pp. 269–274). IEEE
4. Degbedzui DK, Yüksel ME (2020) Accurate diagnosis of term–preterm births by spectral analysis of electrohysterography signals. Comput Biol Med 119:103677
5. Diab A, Boudaoud S, Karlsson B, Marque C (2021) Performance comparison of coupling-evaluation methods in discriminating between pregnancy and labor EHG signals. Comput Biol Med 132:104308
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