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wearable healthcare will drastically improve in-home
care for a variety of patients. Collected data processed
using big-data techniques or advanced signal process-
ing could also have great predictive values for the
evolution of chronic diseases and could be used to
provide better and earlier care for patients.
However, the personal nature of collected health
data mandates strong security mechanism, which were
not explored in our contribution. Indeed, at the mo-
ment our system only features basic data encryption
in compliance with the BLE standard, and the MQTT-
based solution does not use any security mechanism.
Security of our overall system needs to be improved,
more particularly in terms of access control (i.e., the
patients of physicians must be able to know and con-
trol who accesses their medical data) and identity
management, and recently developed decentralized
blockchain-based solutions (Zhu et al., 2017) can be
explored in order to provide comprehensive werable
healthcare system security.
5 CONCLUSION
In this paper, we presented a multiparametric, car-
diorespiratory wearable sensor. In order to answer
healthcare requirements, more particularly in terms of
the ability to integrate wearable sensors into wider-
scale frameworks, we considered an IoT-based ap-
proach. Indeed, we equipped our sensor with remote
configuration capabilities while preserving quality-of-
data and real-time streaming capabilities, which are
key requirements of wearable healthcare systems. This
sensor was implemented using carefully selected hard-
ware, and it was comprehensively characterized in
terms of energy consumption, which is another major
concern of wearable healthcare devices. Indeed, be-
cause battery charging usually implies the sensor is
not collecting physiological data, potentially relevant
data can be lost, and the charging time to battery life
ration must thus be as big as possible. The data col-
lection capabilities of our sensor were also extensively
tested on both synthetic ECG signals and in real-life
ambulatory conditions. Successful testing and inte-
gration to Internet-based framework proved that our
sensor can be used in a wide-scale wearable healthcare
framework.
ACKNOWLEDGMENT
The authors would like to thank the COOPERA fund-
ing program of R
´
egion Auvergne Rh
ˆ
one-Alpes for
their generous financial support.
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