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Wearable low-power wireless lung sound detection enhanced by resonant transducer array for pre-filtered signal acquisition

机译:共振换能器阵列增强了可穿戴式低功耗无线肺部声音检测功能,可进行预滤波信号采集

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This paper reports the implementation and evaluation of an array-based recognition system for medical wheezing detection. We describe the design and fabrication of a microphone array for pre-filtered acoustic signal acquisition. The use of a sensor-array at the input simplifies several of the required digital processing steps necessary for performing spectral filtering and wheezing recognition. The recognizer is evaluated and compared against a traditional approach, and the experimental results show that recognition processing duration and power consumption can be reduced by 94.5%. The results also indicate a potential for improved recognition accuracy with the array-based approach in environments with large levels of acoustic noise. The data suggests that this technique has potential for enabling very low-power (2.3 mW) self-powered wireless and wearable wheezing detection systems.
机译:本文报告了基于阵列的医学喘息检测识别系统的实现和评估。我们描述了用于预滤波声信号采集的麦克风阵列的设计和制造。在输入端使用传感器阵列可简化执行频谱过滤和喘鸣识别所需的几个必需的数字处理步骤。对识别器进行了评估,并与传统方法进行了比较,实验结果表明,识别处理时间和功耗可以减少94.5%。结果还表明,在声噪声水平较高的环境中,基于阵列的方法可能会提高识别精度。数据表明,该技术具有实现超低功耗(2.3 mW)自供电无线和可穿戴式喘息检测系统的潜力。

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