Mobile cloud-computing-based healthcare service by noncontact ECG monitoring.
Mobile cloud-computing-based healthcare service by noncontact ECG monitoring.
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DOI：
10.3390/s131216451
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发表时间：
2013-12-02
期刊：
影响因子：
--
通讯作者：
Chung WY
中科院分区：
文献类型：
--
作者：
Fong EM;Chung WY
非接触式心电图（ECG）测量技术以其无创和方便的特点在日常生活中得到了广泛的应用。本文提出了一种用于医疗保健系统的移动云计算，其中采用非接触式心电测量方法来捕获来自用户的生物医学信号。提供医疗保健服务，从多个地点连续采集生物医学信号。为了实时观察和分析心电信号，使用移动设备作为移动监测终端。此外，在移动设备上安装了个性化的医疗保健助手；一些医疗保健功能，如健康状态摘要、药物QR码扫描和提醒集成到移动应用程序中。正在将健康数据同步到医疗保健云计算服务（Web服务器系统和Web服务器数据集）中，以确保无缝的医疗保健监控系统和随时随地的网络连接覆盖。借助Web页面应用程序，医疗专业人员或家庭成员可以轻松访问医疗数据。进行Web页面性能评估以确保最小化Web服务器延迟。该系统展示了更好的非现场可用性和实时患者数据，有助于及早发现健康问题，使老年患者远离急诊室，从而提供更好、更全面的医疗保健云计算服务。
Noncontact electrocardiogram (ECG) measurement technique has gained popularity these days owing to its noninvasive features and convenience in daily life use. This paper presents mobile cloud computing for a healthcare system where a noncontact ECG measurement method is employed to capture biomedical signals from users. Healthcare service is provided to continuously collect biomedical signals from multiple locations. To observe and analyze the ECG signals in real time, a mobile device is used as a mobile monitoring terminal. In addition, a personalized healthcare assistant is installed on the mobile device; several healthcare features such as health status summaries, medication QR code scanning, and reminders are integrated into the mobile application. Health data are being synchronized into the healthcare cloud computing service (Web server system and Web server dataset) to ensure a seamless healthcare monitoring system and anytime and anywhere coverage of network connection is available. Together with a Web page application, medical data are easily accessed by medical professionals or family members. Web page performance evaluation was conducted to ensure minimal Web server latency. The system demonstrates better availability of off-site and up-to-the-minute patient data, which can help detect health problems early and keep elderly patients out of the emergency room, thus providing a better and more comprehensive healthcare cloud computing service.
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DOI：
10.1177/1741826710389365
发表时间：
2011-06-01
影响因子：
--
作者：
Legeai, C.;Jouven, X.;Empana, J. P.
通讯作者：
Empana, J. P.
影响因子：
--
作者：
Schumm, Johannes;Setz, Cornelia;Troester, Gerhard
通讯作者：
Troester, Gerhard
DOI：
10.3390/s110706799
发表时间：
2011
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Hii PC;Chung WY
通讯作者：
Chung WY
影响因子：
--
作者：
Hii, Pei-Cheng;Lee, Seung-Chul;Chung, Wan-Young
通讯作者：
Chung, Wan-Young
影响因子：
4.3
作者：
Lee, Boon-Giin;Chung, Wan-Young
通讯作者：
Chung, Wan-Young