TY - GEN
T1 - Remote rehabilitation model based on BAN and cloud computing technology
AU - Wang, Mingyu
AU - Zeng, Qiang
AU - Zhu, Weimo
AU - Yang, Jijiang
AU - Wang, Qing
AU - Qin, Weiyi
AU - Xiang, Dingcheng
AU - Zhou, Minwei
AU - Tian, Yan
AU - Chen, Hao
AU - Liu, Jian
AU - Li, Xiaoqian
AU - Wang, Hongdi
AU - Li, Geng
AU - Gao, Qiang
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - body area network
KW - cloud computing
KW - mHealth
KW - model
UR - http://www.scopus.com/inward/record.url?scp=84872039386&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872039386&partnerID=8YFLogxK
U2 - 10.1109/HealthCom.2012.6379373
DO - 10.1109/HealthCom.2012.6379373
M3 - Conference contribution
AN - SCOPUS:84872039386
SN - 9781457720390
T3 - 2012 IEEE 14th International Conference on e-Health Networking, Applications and Services, Healthcom 2012
SP - 119
EP - 123
BT - 2012 IEEE 14th International Conference on e-Health Networking, Applications and Services, Healthcom 2012
T2 - 2012 IEEE 14th International Conference on e-Health Networking, Applications and Services, Healthcom 2012
Y2 - 10 October 2012 through 13 October 2012
ER -