Fetal Electrocardiogram Extraction Using Dual-Path Source Separation of Single-Channel Non-Invasive Abdominal Recordings
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Stevens Institute of Technology, USA
2. Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
https://ieeexplore.ieee.org/ielam/10/9998557/9826377-aam.pdf
Reference83 articles.
1. A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography
2. Noninvasive fetal ECG: The physionet/computing in cardiology challenge 2013;silva;Proc Comput Cardiol,0
3. Multi-modal Framework for Fetal Heart Rate Estimation: Fusion of Low-SNR ECG and Inertial Sensors
4. Abdominal and direct fetal ECG database;andreotti,2012
5. Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Sample Point Classification of Abdominal ECG Through CNN-Transformer Model Enables Efficient Fetal Heart Rate Detection;IEEE Transactions on Instrumentation and Measurement;2024
2. A Fast Adaptive LPCA Method for Fetal ECG Extraction Based on Multichannel Signals;IEEE Transactions on Instrumentation and Measurement;2024
3. Enhancing fetal electrocardiogram classification: A hybrid approach incorporating multimodal data fusion and advanced deep learning models;Multimedia Tools and Applications;2023-11-22
4. Strain Plethysmography at the Radial Artery: A Promising Technique for Cuffless Blood Pressure Estimation;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19
5. Diagnosis of Coexisting Valvular Heart Diseases Using Image-to-Sequence Translation of Contact Microphone Recordings;IEEE Transactions on Biomedical Engineering;2023-09
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3