Optimum Design and Test of a Novel Bionic Electronic Stethoscope based on the Cruciform Microcantilever with Leaf Microelectromechanical Systems Structure

被引:6
|
作者
Zang, Junbin [1 ]
Zhou, Chenzheng [1 ]
Xiang, Menghui [1 ]
Wang, Juliang [1 ,2 ]
Wang, Haoxin [1 ]
Zhang, Zhidong [1 ]
Xue, Chenyang [1 ]
机构
[1] North Univ China, Key Lab Instrumentat Sci & Dynam Measurement, Taiyuan 030051, Peoples R China
[2] Shanxi Coll Technol, Shuozhou 036000, Peoples R China
基金
中国国家自然科学基金;
关键词
frequency band; heart sound; intelligent diagnosis; MEMS; sensor; synchronous acquisition;
D O I
10.1002/admt.202101501
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes a heart sound sensing structure and system by combining the traditional auscultation structure and human-like ear eardrum gas-solid coupling sound conduction process. This system is based on the lever pickup mechanism of eardrum vibration and the traditional stethoscope pickup amplification, microelectromechanical system (MEMS) technology, and the detection principle of piezoresistive and Wheatstone bridge. The optimal size and process parameters of the biomimetic sensor structure are given through theoretical calculation and numerical simulation on Comsol and SRIM. Computer numerical control, 3D printing, MEMS technology, and 3D heterogeneous integration technology are used to complete the precise processing and encapsulation of the proposed structure. After the performance tests, results show that the optimal structure can collect directional signals, with a bandwidth from 10 Hz to 1 kHz, which can effectively cover the range of the heart frequency. The signal-to-noise ratio is improved by 2.3 dB compared with the 3M stethoscope. An electrocardiogram and phonocardiogram synchronization detection system is developed with this structure. The structure and system can be effectively applied to the high-quality collection and intelligent recognition of heart sound data sets. The recognition accuracy can reach 98.5%. It is highly effective for early screening and intelligent diagnosis of cardiovascular diseases.
引用
收藏
页数:16
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