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用于医疗保健中检测和处理声信号的传感设备。

Sensing Devices for Detecting and Processing Acoustic Signals in Healthcare.

机构信息

Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy.

ISTI-CNR, Institute of Information Science and Technologies, 56124 Pisa, Italy.

出版信息

Biosensors (Basel). 2022 Oct 7;12(10):835. doi: 10.3390/bios12100835.

Abstract

Acoustic signals are important markers to monitor physiological and pathological conditions, e.g., heart and respiratory sounds. The employment of traditional devices, such as stethoscopes, has been progressively superseded by new miniaturized devices, usually identified as microelectromechanical systems (MEMS). These tools are able to better detect the vibrational content of acoustic signals in order to provide a more reliable description of their features (e.g., amplitude, frequency bandwidth). Starting from the description of the structure and working principles of MEMS, we provide a review of their emerging applications in the healthcare field, discussing the advantages and limitations of each framework. Finally, we deliver a discussion on the lessons learned from the literature, and the open questions and challenges in the field that the scientific community must address in the near future.

摘要

声信号是监测生理和病理状况的重要标志物,例如心音和呼吸音。传统设备(如听诊器)的使用逐渐被新型微型设备所取代,这些微型设备通常被称为微机电系统(MEMS)。这些工具能够更好地检测声信号的振动内容,以便更可靠地描述其特征(例如,幅度、频率带宽)。从 MEMS 的结构和工作原理描述开始,我们综述了它们在医疗保健领域中的新兴应用,并讨论了每种架构的优缺点。最后,我们讨论了从文献中吸取的经验教训,以及科学界在不久的将来必须解决的该领域的开放性问题和挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a57e/9599683/7f020025929b/biosensors-12-00835-g001.jpg

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