心脏超声心动图
信号处理
计算机科学
仪表(计算机编程)
领域(数学)
信号(编程语言)
医学物理学
人工智能
数据科学
医学
数字信号处理
计算机硬件
内科学
操作系统
纯数学
数学
程序设计语言
作者
Omer T. Inan,Pierre‐François Migeotte,Kwangsuk Park,Mozziyar Etemadi,Kouhyar Tavakolian,Ramon Casanella,John M. Zanetti,Jens Tank,I.I. Funtova,G. Kim Prisk,Marco Di Rienzo
标识
DOI:10.1109/jbhi.2014.2361732
摘要
In the past decade, there has been a resurgence in the field of unobtrusive cardiomechanical assessment, through advancing methods for measuring and interpreting ballistocardiogram (BCG) and seismocardiogram (SCG) signals. Novel instrumentation solutions have enabled BCG and SCG measurement outside of clinical settings, in the home, in the field, and even in microgravity. Customized signal processing algorithms have led to reduced measurement noise, clinically relevant feature extraction, and signal modeling. Finally, human subjects physiology studies have been conducted using these novel instruments and signal processing tools with promising results. This paper reviews the recent advances in these areas of modern BCG and SCG research.
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