Seamless and non-contact health monitoring system in cloud computing

Promising developments in healthcare technology have fostered an interest in noninvasive and indirect contact capacitive coupled ECG measurement technique. In this paper, we propose an indirect contact ECG measurement system to measure biomedical data invasively in cloud computing environment. Bio-signal data can be measured and collected at any time without the presence of any personal assistant or physician. However, patient identity is not recognized in other researches and this may causes patient identity confusion. Medical data may be wrongly recorded and results in a poor medical record management. Thus, ECG identification is important to make sure that the data is coming from the right person. Bio-signal data and patient biological information are stored in a web server monitoring system to enable real-time collection and dissemination of personal health data by patients and health-care professionals at anytime and from anywhere.