Abstract:
Diabetes, blood pressure, heart, and kidney, some of the diseases
common across the world, are termed 'silent killers'. More than 50% of the
world's population are a ected by these diseases. If suitable steps are not taken
during the early stages then severe complications occur from these diseases.
In the work proposed, we have discussed the manner in which the Internet-
of-Things based Cloud centric architecture is used for predictive analysis of
physical activities of the users in sustainable health centers. The architecture
proposed is based on the embedded sensors of the equipment rather than using
wearable sensors or Smartphone sensors to store the value of the basic health-
related parameters. Cloud centric architecture is composed of a Cloud data
center, Public cloud, Private cloud, and uses the XML Web services for se-
cure and fast communication of information. The architecture proposed here
is evaluated for its adoption, prediction analysis of physical activities, e -
ciency, and security. From the results obtained it can be seen that the overall
response between the local database server and Cloud data center remains almost constant with the rise in the number of users. For prediction analysis,
If the results collected in real time for the analysis of physical activities ex-
ceed any of the parameter limits of the de ned threshold value then an alert
is sent to the health care personnel. Security analysis also shows the e ective
encryption and decryption of information. The architecture presented is e ec-
tive and reduces the proliferation of information. It is also suggested, that a
person su ering from any of the diseases mentioned above can defer the onset
of complications by doing regular physical activities.
