基于身体声音和振动的无创诊断研究进展

Amirtahà Taebi, F. Khalili
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引用次数: 2

摘要

本文简要介绍了生物医学声学信号的无创筛查在早期识别不同类型的异常和疾病(包括呼吸系统疾病和心血管疾病)方面的进展。这些信号包括由人体不同器官和系统产生的声音和振动,可以使用听诊器和加速度计等传感器在体表上测量。本文简要回顾和讨论了自定义特征提取和分类的测量方法和信号处理算法,以及临床潜力、当前局限性和未来发展方向。
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Advances in Noninvasive Diagnosis Based on Body Sounds and Vibrations – A Review
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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