Fetal Cardiac Doppler Signal Processing Techniques: Challenges and Future Research Directions

Frontiers in Bioengineering and Biotechnology

卷:5

Ahsan H. Khandoker¹  Shihab Jimaa²  Saeed Abdulrahman Alnuaimi² 

[1] Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates;

[2] Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, United Arab Emirates;

关键词: fetal Doppler;    signal processing;    fetal cardiac intervals;    fetal monitoring;    fetal heart rate;    fetal cardiology;   

DOI  :  10.3389/fbioe.2017.00082

来源: DOAJ

【 摘 要 】

The fetal Doppler Ultrasound (DUS) is commonly used for monitoring fetal heart rate and can also be used for identifying the event timings of fetal cardiac valve motions. In early-stage fetuses, the detected Doppler signal suffers from noise and signal loss due to the fetal movements and changing fetal location during the measurement procedure. The fetal cardiac intervals, which can be estimated by measuring the fetal cardiac event timings, are the most important markers of fetal development and well-being. To advance DUS-based fetal monitoring methods, several powerful and well-advanced signal processing and machine learning methods have recently been developed. This review provides an overview of the existing techniques used in fetal cardiac activity monitoring and a comprehensive survey on fetal cardiac Doppler signal processing frameworks. The review is structured with a focus on their shortcomings and advantages, which helps in understanding fetal Doppler cardiogram signal processing methods and the related Doppler signal analysis procedures by providing valuable clinical information. Finally, a set of recommendations are suggested for future research directions and the use of fetal cardiac Doppler signal analysis, processing, and modeling to address the underlying challenges.

【 授权许可】

Unknown