Detection of Wheezes Using a Wearable Distributed Array of Microphones

W. Ser, Tongtong Zhang, Jufeng Yu, Jianmin Zhang
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引用次数: 6

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 1000Hz, instead of 8000Hz. 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.
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使用可穿戴式分布式麦克风阵列检测喘息声
本文提出了一种使用分布式麦克风阵列的喘息检测方法,该方法可以作为可穿戴健康监测系统的一部分实现。为了降低可穿戴系统的功耗,该方法已开发为1000Hz的采样率,而不是8000Hz。在设计中,我们使用了两个常规的空气传导性麦克风和一个骨传导性麦克风,以提高检测的准确性和对环境噪声的鲁棒性。两个空气传导性麦克风捕捉呼吸声音,骨传导性麦克风放置在患者胸骨柄上记录胸壁肺声。在不同的信噪比条件下,使用喘息患者和无喘息受试者的肺音进行模拟。结果表明,该方法对环境噪声具有较强的鲁棒性,具有较好的喘息检测性能。该方法已在PDA上实现,并用一些实际数据进行了测试。
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