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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
