Remote rehabilitation model based on BAN and cloud computing technology

• Published in: 2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom) pp. 119 - 123
• Main Authors: Wang Mingyu, Zeng Qiang, Zhu Weimo, Yang Jijiang, Wang Qing, Qin Weiyi, Xiang Dingcheng, Zhou Minwei, Tian Yan, Chen Hao, Liu Jian, Li Xiaoqian, Wang Hongdi, Li Geng, Gao Qiang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2012
• Subjects: Blood; Blood pressure; body area network; cloud computing; Diseases; Heart rate; Medical diagnostic imaging; mHealth; Sugar
• ISBN: 9781457720390; 1457720396
• DOI: 10.1109/HealthCom.2012.6379373

With the improvement of living standards and the intensified social competition, the population of various chronic diseases is gradually expanded. In this study, we use a mature domestic commercial Body Area Network as our experiment platform-IVT mhealth system, a remote health care and rescue system created by IVT Corporation. This system adopts several most advanced technologies and patents in the world. It is a remote health care and rescue system, which consists of sensors, the call center and network platform. With the collaboration of medical institutions and health advisory center, it has the function of monitoring, positioning and asking for help. This system has achieved a dynamic measurement of ECG, blood pressure, blood glucose and blood oxygen. The data of users collected by wireless blood pressure meter, oximeter, ECG analyzer can be automatically sent to the cloud via cell phone and be kept as materials on records. This system provides a good platform for remote guidance, quantitative real-time monitoring and timely two-way feedback, as well as dynamic evaluation and overall adjustment for exercise rehabilitation of people on a large scale.