In this
paper, we introduce a system architecture for a patient centered mobile health
monitoring (PCMHM) system that deploys different sensors to determine patients’
activities, medical conditions, and the cause of an emergency event. This
system combines and analyzes sensor data to produce the patients’ detailed health
information in real-time. A central computational node with data analyzing
capability is used for sensor data integration and analysis. In addition to
medical sensors, surrounding environmental sensors are also utilized to enhance
the interpretation of the data and to improve medical diagnosis. The PCMHM
system has the ability to provide on-demand health information of patients via
the Internet, track real-time daily activities and patients’ health condition.
This system also includes the capability for assessing patients’ posture and
fall detection.
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