Abstract
Heart disease is one of the serious public health problems in the world at present. According to the research, the mortality and disability rates of cardiovascular diseases are the highest in the world. In this paper, we introduce wireless radio-frequency technique for health monitoring and use non-line-of-sight (NLOS) biological device to perceive physiological signal of patients. Therefore, we put forward a NLOS monitoring system for heart disease. Firstly, It is used to collect the physiological data of heart disease patients in real time. It is portable and non-line-of-sight, which provides really contact-less and interference-free monitoring environment for patients. Besides, edge computing is introduced to the heart disease monitoring system to support the short-delay and high-reliability response to urgent disease condition. Specifically, we deploy based on deep learning disease prediction model at edge nodes. Meanwhile, combining hospital and home healthcare, we propose rescue strategies for heart attack. To verify the feasibility of wireless NLOS monitoring system for heart disease combined hospital and home, we conduct case analysis for the key technologies and methods in the monitoring system, and built an experimental platform to test the proposed system.
•Based on wireless high-frequency device, we have established a solution for real-time collection of physiological data of patients with heart disease at network level. First of all, the no-touch bio-radar is used to collect patient physiological data in real time, and then integrate and process these data at the edge nodes. Finally upload to the remote medical cloud, synchronize data to the patient health database, as reference information for future disease diagnosis or prediction.•This paper proposes early warning mechanism and rescue strategy for heart attack, based on the wireless physiological data collection method. We deploy deep learning-based disease prediction model on the edge nodes. Heart disease patients and switchable edge nodes form a mobile monitoring ecological ring to monitor patient health in real time. And for the sudden onset of heart disease, establish hospital–home linkage rescue strategy to make patients more prompt and timely treatment.•In order to evaluate the feasibility of the monitoring system, we discuss the key methods and technologies in the proposed monitoring system. it includes based on wireless RF device microphysical signal detection, heart state prediction at edge node and testbed for heart disease monitoring system.