TY - GEN
T1 - Mobile distributed processing of physiological data
AU - Meneghello, James
AU - Lee, Kevin
AU - Gilleade, Kiel
PY - 2012
Y1 - 2012
N2 - Physiological monitoring can be useful in a number of scenarios to evaluate or diagnose the status of individuals or groups, for health or mental reasons. The devices used to collect this data have become increasingly portable, but deriving useful metrics from such data can often take significant processing - a commodity not always available in mobile environments. This paper presents and evaluates a system designed to easily process physiological signals in mobile environments by utilising commonly-available smartphone hardware to collaboratively transform collected data.
AB - Physiological monitoring can be useful in a number of scenarios to evaluate or diagnose the status of individuals or groups, for health or mental reasons. The devices used to collect this data have become increasingly portable, but deriving useful metrics from such data can often take significant processing - a commodity not always available in mobile environments. This paper presents and evaluates a system designed to easily process physiological signals in mobile environments by utilising commonly-available smartphone hardware to collaboratively transform collected data.
UR - http://www.scopus.com/inward/record.url?scp=84875631440&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875631440&partnerID=8YFLogxK
U2 - 10.1109/NESEA.2012.6474031
DO - 10.1109/NESEA.2012.6474031
M3 - Conference contribution
AN - SCOPUS:84875631440
SN - 9781467347235
T3 - Proceedings - 2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application, NESEA 2012
BT - Proceedings - 2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application, NESEA 2012
T2 - 2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application, NESEA 2012
Y2 - 13 December 2012 through 14 December 2012
ER -