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Remote Pulmonary Function Test Monitoring in Cloud Platform via Smartphone Built-in Microphone

机译:通过智能手机内置麦克风在云平台中进行远程肺功能测试监控

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摘要

With an aging population that continues to grow, health care technology plays an increasingly active role, especially for chronic disease management. In the health care market, cloud platform technology is becoming popular, as both patients and physicians demand cost efficiency, easy access to information, and security. Especially for asthma and chronic obstructive pulmonary disease (COPD) patients, it is recommended that pulmonary function test (PFT) be performed on a daily basis. However, it is difficult for patients to frequently visit a hospital to perform the PFT. In this study, we present an application and cloud platform for remote PFT monitoring that can be directly measured by smartphone microphone with no external devices. In addition, we adopted the IBM Watson Internet-of-Things (IoT) platform for PFT monitoring, using a smartphone’s built-in microphone with a high-resolution time-frequency representation. We successfully demonstrated real-time PFT monitoring using the cloud platform. The PFT parameters of FEV1/FVC (%) could be remotely monitored when a subject performed the PFT test. As a pilot study, we tested 13 healthy subjects, and found that the absolute error mean was 4.12 and the standard deviation was 3.45 on all 13 subjects. With the developed applications on the cloud platform, patients can freely measure the PFT parameters without restriction on time and space, and a physician can monitor the patients’ status in real time. We hope that the PFT monitoring platform will work as a means for early detection and treatment of patients with pulmonary diseases, especially those having asthma and COPD.
机译:随着人口老龄化的持续增长,医疗保健技术发挥着越来越积极的作用,尤其是在慢性疾病管理方面。在医疗保健市场中,云平台技术正变得越来越流行,因为患者和医生都需要成本效益,易于访问的信息和安全性。特别是对于哮喘和慢性阻塞性肺疾病(COPD)患者,建议每天进行肺功能检查(PFT)。但是,患者很难经常去医院进行PFT。在这项研究中,我们提供了用于远程PFT监控的应用程序和云平台,可以通过智能手机麦克风直接测量而无需外部设备。此外,我们使用IBM沃森物联网(IoT)平台进行PFT监控,它使用了具有高分辨率时频表示的智能手机内置麦克风。我们成功演示了使用云平台进行的实时PFT监控。当受试者进行PFT测试时,可以远程监视FEV1 / FVC的PFT参数(%)。作为一项初步研究,我们测试了13位健康受试者,发现所有13位受试者的绝对误差均值为4.12,标准差为3.45。利用在云平台上开发的应用程序,患者可以自由地测量PFT参数,而不受时间和空间的限制,医生可以实时监视患者的状况。我们希望PFT监测平台将成为早期发现和治疗肺部疾病患者(尤其是患有哮喘和COPD的患者)的一种手段。

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