加速度计
计算机科学
特征提取
鉴定(生物学)
信号处理
听诊器
信号(编程语言)
特征(语言学)
生物声学
振动
人工智能
声学
语音识别
模式识别(心理学)
数字信号处理
电信
物理
哲学
植物
操作系统
程序设计语言
语言学
生物
计算机硬件
作者
Amirtahà Taebi,Fardin Khalili
标识
DOI:10.1115/imece2021-73815
摘要
Abstract This paper provides a brief overview of the advances in the area of early identification of different types of abnormalities and diseases, including respiratory illnesses and cardiovascular diseases, using noninvasive screening of biomedical acoustic signals. These signals include sounds and vibrations generated by different human body organs and systems that can be measured on the body surface using sensors such as stethoscopes and accelerometers. In this study, the measurement methods and signal processing algorithms for customized feature extraction and classification as well as clinical potentials, current limitations, and future directions are briefly reviewed and discussed.
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