The Association of Computer Electrical Electronics and Communication (ACEECom)
Abstract
Wearable sensors are reaching maturity, at the
same time as technologies for communicating physiological data
and those for analyzing massive amounts of data. The
combination of the three technologies invites for applications in
mass screening of personal health through smart algorithm
deployment on data from wearable patches. We propose and
present an architecture for a wearable patch to be used in mass
casualty emergency situations, or for hospital bedside
monitoring. The proposed patch will contain multiple sensors of
physiological parameters. We propose to create respiration and
heartbeat sensors made of laser induced graphene. We show
that graphene on flexible substrates can be utilized in
conjunction with the Python heart rate analysis toolkit -
HeartPy to reliably acquire physiological data from human
subject
