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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 theelectronics health record (EHR) and AI analytics making H-CPS possible.IoMT-end devices like wearables and implantables are key for H-CPS based smarthealthcare. Smart garment is a specific wearable which can be used for smarthealthcare. There are various smart garments that help users to monitor theirbody vitals in real-time. Many commercially available garments collect thevital data and transmit it to the mobile application for visualization.However, these don't perform real-time analysis for the user to comprehendtheir health conditions. Also, such garments are not included with an alertsystem to alert users and contacts in case of emergency. In MyWear, we proposea wearable body vital monitoring garment that captures physiological data andautomatically analyses such heart rate, stress level, muscle activity to detectabnormalities. A copy of the physiological data is transmitted to the cloud fordetecting any abnormalities in heart beats and predict any potential heartfailure in future. We also propose a deep neural network (DNN) model thatautomatically classifies abnormal heart beat and potential heart failure. Forimmediate assistance in such a situation, we propose an alert system that sendsan alert message to nearby medical officials. The proposed MyWear has anaverage accuracy of 96.9% and precision of 97.3% for detection of theabnormalities.

MyWear: A Smart Wear for Continuous Body Vital Monitoring and Emergency Alert