Abstract
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.
Highlights
The intrusion of cardiovascular disease into society has increased to the point where it has become the leading cause of death worldwide
The health data synchronization and cloud computing system are tested during the experiment to collect all the health data and seamlessly track the health status
A Web server database and an operational Web page are developed for easy health monitoring purposes
Summary
The intrusion of cardiovascular disease into society has increased to the point where it has become the leading cause of death worldwide. WHO has gathered a series of graphs based on global health data to illustrate the 10 leading causes of death by broad income groups such as in low-, middle-, and high-income countries. Heart disease and stroke and other cerebrovascular disease represent the top-two causes of death in the middle- and high-income nations. The resting HR is defined as the number of heart beats per minute (bpm) measured under a condition of complete rest. It reveals the pumping efficiency of the heart and ranges between 60 and 100 bpm for adults. A resting HR beyond the normal range is considered an indication of cardiac arrhythmia if accompanied with dizziness, chest pain, and short breaths, which may be a result of heart damage due to aging, electrolyte imbalance, high blood pressure, and cardiac disorder
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