  Smart healthcare which is built as healthcare Cyber-Physical System (H-CPS)
from Internet-of-Medical-Things (IoMT) is becoming more important than before.
Medical devices and their connectivity through Internet with alongwith the
electronics health record (EHR) and AI analytics making H-CPS possible.
IoMT-end devices like wearables and implantables are key for H-CPS based smart
healthcare. Smart garment is a specific wearable which can be used for smart
healthcare. There are various smart garments that help users to monitor their
body vitals in real-time. Many commercially available garments collect the
vital data and transmit it to the mobile application for visualization.
However, these don't perform real-time analysis for the user to comprehend
their health conditions. Also, such garments are not included with an alert
system to alert users and contacts in case of emergency. In MyWear, we propose
a wearable body vital monitoring garment that captures physiological data and
automatically analyses such heart rate, stress level, muscle activity to detect
abnormalities. A copy of the physiological data is transmitted to the cloud for
detecting any abnormalities in heart beats and predict any potential heart
failure in future. We also propose a deep neural network (DNN) model that
automatically classifies abnormal heart beat and potential heart failure. For
immediate assistance in such a situation, we propose an alert system that sends
an alert message to nearby medical officials. The proposed MyWear has an
average accuracy of 96.9% and precision of 97.3% for detection of the
abnormalities.
