Cook Jadyn, Umar Muneebah, Khalili Fardin, Taebi Amirtahà
Department of Agricultural and Biological Engineering, Mississippi State University, 130 Creelman Street, Starkville, MS 39762, USA.
Department of Biological Sciences, Mississippi State University, 295 Lee Blvd, Starkville, MS 39762, USA.
Bioengineering (Basel). 2022 Apr 1;9(4):149. doi: 10.3390/bioengineering9040149.
In the past few decades, many non-invasive monitoring methods have been developed based on body acoustics to investigate a wide range of medical conditions, including cardiovascular diseases, respiratory problems, nervous system disorders, and gastrointestinal tract diseases. Recent advances in sensing technologies and computational resources have given a further boost to the interest in the development of acoustic-based diagnostic solutions. In these methods, the acoustic signals are usually recorded by acoustic sensors, such as microphones and accelerometers, and are analyzed using various signal processing, machine learning, and computational methods. This paper reviews the advances in these areas to shed light on the state-of-the-art, evaluate the major challenges, and discuss future directions. This review suggests that rigorous data analysis and physiological understandings can eventually convert these acoustic-based research investigations into novel health monitoring and point-of-care solutions.
在过去几十年里，已经开发出许多基于人体声学的非侵入性监测方法，用于研究广泛的医疗状况，包括心血管疾病、呼吸问题、神经系统疾病和胃肠道疾病。传感技术和计算资源的最新进展进一步激发了人们对基于声学的诊断解决方案开发的兴趣。在这些方法中，声学信号通常由声学传感器（如麦克风和加速度计）记录，并使用各种信号处理、机器学习和计算方法进行分析。本文综述了这些领域的进展，以阐明当前的技术水平，评估主要挑战，并讨论未来方向。这篇综述表明，严格的数据分析和生理学理解最终可以将这些基于声学的研究转化为新型健康监测和即时护理解决方案。
