TY - GEN
T1 - Brain inspired health monitoring supported by the cloud
AU - Luís-Ferreira, Fernando
AU - Ghimire, Sudeep
AU - Jardim-Goncalves, Ricardo
N1 - Sem PDF.
PY - 2015
Y1 - 2015
N2 - The health status of a person can be assessed by specialized professionals with the help of medical devices. The assessment, in real-time, would be useful as most of the times a person is not in presence of health professionals. But own assessment lacks precision and reaction time that could be risky in critical conditions. The pervasiveness of Internet connections and ubiquity of smart devices makes it possible to overcome that limitation. By using sensing capabilities of portable/wearable devices in conjunction with medical knowledge and clinical history it is possible to monitor a person’s health status in real-time with reaction mechanisms. The objective is to keep track of collected evidence, and relate with existing knowledge for better assessment. This paper proposes a framework, inspired by the brain and physiology, capturing real-time health related information, at a person’s location, submitting that to the cloud for reasoning and decision and triggers advice or request medical assistance.
AB - The health status of a person can be assessed by specialized professionals with the help of medical devices. The assessment, in real-time, would be useful as most of the times a person is not in presence of health professionals. But own assessment lacks precision and reaction time that could be risky in critical conditions. The pervasiveness of Internet connections and ubiquity of smart devices makes it possible to overcome that limitation. By using sensing capabilities of portable/wearable devices in conjunction with medical knowledge and clinical history it is possible to monitor a person’s health status in real-time with reaction mechanisms. The objective is to keep track of collected evidence, and relate with existing knowledge for better assessment. This paper proposes a framework, inspired by the brain and physiology, capturing real-time health related information, at a person’s location, submitting that to the cloud for reasoning and decision and triggers advice or request medical assistance.
KW - Cloud
KW - Health monitoring
KW - Internet of things
KW - Brain models
UR - http://www.scopus.com/inward/record.url?scp=84926637180&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-16766-4_30
DO - 10.1007/978-3-319-16766-4_30
M3 - Conference contribution
AN - SCOPUS:84926637180
SN - 978-3-319-16766-4
VL - 450
T3 - IFIP Advances in Information and Communication Technology
SP - 273
EP - 281
BT - Technological Innovation for Cloud-Based Engineering Systems - 6th IFIPWG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015, Proceedings
PB - Springer New York LLC
T2 - 6th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015
Y2 - 13 April 2015 through 15 April 2015
ER -