Single-Frequency Ultrasound-Based Respiration Rate Estimation with Smartphones.
Single-Frequency Ultrasound-Based Respiration Rate Estimation with Smartphones.
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使用智能手机进行基于单频超声的呼吸率估计
DOI：
10.1155/2018/3675974
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发表时间：
2018
影响因子：
--
通讯作者：
Wei J
中科院分区：
文献类型：
--
作者：
Ge L;Zhang J;Wei J
呼吸监测有助于疾病的预防和诊断。传统的呼吸监测需要使用者在身上佩戴设备，这对他们来说不方便。本文旨在设计一种基于智能手机的非接触式呼吸频率检测系统。我们利用单频超声作为检测呼吸活动的介质。通过分析智能手机内置麦克风传感器接收到的超声信号，我们的系统可以得出用户的呼吸频率。该方法的优点是传输信号容易产生，信号分析简单，功耗低，适合日常生活中的长期监测。实验结果表明，该系统能够在各种场景下实现准确的呼吸频率估计。
Respiration monitoring is helpful in disease prevention and diagnosis. Traditional respiration monitoring requires users to wear devices on their bodies, which is inconvenient for them. In this paper, we aim to design a noncontact respiration rate detection system utilizing off-the-shelf smartphones. We utilize the single-frequency ultrasound as the media to detect the respiration activity. By analyzing the ultrasound signals received by the built-in microphone sensor in a smartphone, our system can derive the respiration rate of the user. The advantage of our method is that the transmitted signal is easy to generate and the signal analysis is simple, which has lower power consumption and thus is suitable for long-term monitoring in daily life. The experimental result shows that our system can achieve accurate respiration rate estimation under various scenarios.
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158.5
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通讯作者：
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通讯作者：
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