TY - JOUR
T1 - Intelligent subcutaneous body area networks: anticipating implantable devices
AU - Catherwood, Philip A
AU - Finlay, Dewar D
AU - McLaughlin, James AD
PY - 2016/9/9
Y1 - 2016/9/9
N2 - There is a long history of medically prescribed implantable devices used to assist in treating chronic health conditions. Examples include pacemakers [1], cochlear and retinal implants [2], insulin pumps [3], and deep brain stimulation implants for relief of Parkinson's disease tremors and seizures [4] to name but a few. There is also a growing trend towards wearable consumer electronics for a myriad of applications, including interactive haptic environments [5], healthcare [6], data communications [7], wearable interfaces [8], and people tracking [9]. Artificial Intelligence (AI) continues to make remarkable progress in controlled settings and promises to bring intelligence to everything we interact with [10].
AB - There is a long history of medically prescribed implantable devices used to assist in treating chronic health conditions. Examples include pacemakers [1], cochlear and retinal implants [2], insulin pumps [3], and deep brain stimulation implants for relief of Parkinson's disease tremors and seizures [4] to name but a few. There is also a growing trend towards wearable consumer electronics for a myriad of applications, including interactive haptic environments [5], healthcare [6], data communications [7], wearable interfaces [8], and people tracking [9]. Artificial Intelligence (AI) continues to make remarkable progress in controlled settings and promises to bring intelligence to everything we interact with [10].
U2 - 10.1109/MTS.2016.2593219
DO - 10.1109/MTS.2016.2593219
M3 - Article
VL - 35
SP - 73
EP - 80
JO - IEEE Technology and Society Magazine
JF - IEEE Technology and Society Magazine
SN - 0278-0097
IS - 3
ER -