MULTI-BAND MEMS RESONANT MICROPHONE ARRAY FOR CONTINUOUS LUNG-SOUND MONITORING AND CLASSIFICATION

被引:0
|
作者
Liu, Hai [1 ]
Liu, Song [1 ]
Shkel, Anton A. [1 ]
Tang, Yongkui [1 ]
Kim, Eun Sok [1 ]
机构
[1] Univ Southern Calif, Dept Elect & Comp Engn, Los Angeles, CA 90089 USA
关键词
MEMS microphone; resonant microphones; microphone array; lung sound monitoring; wheezing detection; deep learning; wearable stethoscope;
D O I
10.1109/mems46641.2020.9056160
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper reports a piezoelectric MEMS resonant microphone array for wheezing detection in lung sounds. The microphone array is composed of resonant cantilevers with serpentine support beams, and each of the resonant microphones has an unamplified sensitivity between 34.6 and 131.4 mV/Pa at the resonant frequencies, over a frequency range of 150 - 700 Hz (where wheezing spectral density is most prominent). With the high sensitivity and signal-to-noise ratio, wheezing is distinguished in both frequency domain and time domain, and as high as 97.73% identification accuracy is achieved on automatic classification through deep machine learning, when the resonant microphone array is used to record lung sounds.
引用
收藏
页码:857 / 860
页数:4
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