DocumentCode
3204540
Title
Detection of Wheezes Using a Wearable Distributed Array of Microphones
Author
Ser, Wee ; Zhang, T.T. ; Yu, Jufeng ; Zhang, Jianmin
Author_Institution
Center For Signal Process., Nanyang Technol. Univ., Singapore, Singapore
fYear
2009
fDate
3-5 June 2009
Firstpage
296
Lastpage
300
Abstract
This paper presents a wheeze detection method that uses a distributed array of microphones and can be implemented as part of a wearable health monitoring system. In order to reduce the power consumption for the wearable system, the method has been developed to operate at a sampling rate of 1000 Hz, instead of 8000 Hz. In the design, we use two regular air conductive microphones and a bone conductive microphone to increase the accuracy of detection and make it robust against environmental noise. The two air-conductive microphones capture breathing sound while bone-conductive microphone is placed over the manubrium of the sternum in patients to record chest wall lung sound. The simulations are conducted using lung sounds from patients with wheezes and human subjects with no wheezes under different SNR conditions. The results show that the proposed method is robust against environmental noise and has good performance on wheeze detection. The approach has been implemented onto a PDA and tested with some real data.
Keywords
acoustic signal processing; bioacoustics; bone; medical signal processing; microphone arrays; patient monitoring; pneumodynamics; air conductive microphones; bone conductive microphone; breathing sound; chest wall lung sound recording; frequency 1000 Hz; power consumption; sternum manubrium; wearable distributed array; wearable health monitoring system; wheeze detection method; Biomedical monitoring; Bones; Energy consumption; Humans; Lungs; Microphone arrays; Noise robustness; Sampling methods; Sternum; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Wearable and Implantable Body Sensor Networks, 2009. BSN 2009. Sixth International Workshop on
Conference_Location
Berkeley, CA
Print_ISBN
978-0-7695-3644-6
Type
conf
DOI
10.1109/BSN.2009.18
Filename
5226875
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