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Towards real-time monitoring and detectime monitoring of asthma symptoms on resource-constraint mobile device

机译:在资源受限的移动设备上实现对哮喘症状的实时监测和检测

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In this paper, we present work in progress on application scenario where a smartphone is used to detect and quantitatively index early signs of asthma attack triggered by exercise. Here, the embedded microphone in the mobile phone records the user's breath sound while motion sensors-accelerometer, gyroscope and digital compass provide measurements on the level or intensity of activity and posture changes. Our design and preliminary result show that using only built-in sensors in smartphones, mobile phones can sufficiently and reliably monitor health status of patients with long-term respiratory conditions such as asthma.
机译:在本文中,我们介绍了使用智能手机检测并定量索引运动引发的哮喘发作的早期征兆的应用场景。在此,移动电话中的嵌入式麦克风记录了用户的呼吸声音,而运动传感器-加速度计,陀螺仪和数字罗盘则提供了有关活动水平和姿势变化的强度或强度的测量值。我们的设计和初步结果表明,仅使用智能手机中的内置传感器,移动电话就可以充分可靠地监视患有长期呼吸疾病(例如哮喘)的患者的健康状况。

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