
教授 博士生导师 硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
学科:信号与信息处理
生物医学工程
办公地点:大连理工大学创新园大厦
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发布时间:2019-03-11
论文类型:期刊论文
发表时间:2016-01-01
发表刊物:Journal of Electrical and Computer Engineering
收录刊物:EI
卷号:2016
ISSN号:20900147
摘要:As a passive, harmless, and low-cost diagnosis tool, fetal heart rate (FHR) monitoring based on fetal phonocardiography (fPCG) signal is alternative to ultrasonographic cardiotocography. Previous fPCG-based methods commonly relied on the time difference of detected heart sound bursts. However, the performance is unavoidable to degrade due to missed heart sounds in very low signal-to-noise ratio environments. This paper proposes a FHR monitoring method using repetition frequency of heart sounds. The proposed method can track time-varying heart rate without both heart sound burst identification and denoising. The average accuracy rate comparison to benchmark is 88.3% as the SNR ranges from-4.4 dB to-26.7 dB. © 2016 Hong Tang et al.