Advancing Fetal Heart Rate Monitoring: AI-Based Approach for Baseline Detection and Classification
Author:
Affiliation:
1. NexoPrima Sdn Bhd, UKM-MTDC,Bangi,Selangor,Malaysia
2. A'Sharqiyah University (ASU),Department of Information Systems,Sultanate of Oman
3. Istanbul Technical University,Department of Electronics and Communication Engineering,Istanbul,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10654795/10654813/10655183.pdf?arnumber=10655183
Reference22 articles.
1. Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models
2. A Comprehensive Review of Techniques for Processing and Analyzing Fetal Heart Rate Signals
3. Computer‐based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK)
4. Doppler Ultrasound Technology for Fetal Heart Rate Monitoring: A Review
5. DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network
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