IoT as Wearable Device in Smart Healthcare Systems

Abstract

Portable healthcare monitoring systems with internet of things (IoT) are now a major issue for many nations across the world due to the significant growth of healthcare monitoring systems. The use of IoT-based health monitoring solutions can result in the elimination of routine doctor visits and consultations. IoT is utilized in a health monitoring system that can monitor a person's temperature, heart rate, blood pressure, and oxygen saturation. Moreover, the device enhanced with NLP analyzes speech and sound to extract disease-specific information, adding a new dimension to traditional metrics. The voice captured in the device is pushed into the cloud storage, like AWS S3. The machine learning model, which was trained, is loaded to analyze this file using machine learning run time environments like AWS SageMaker. Now if a patient's health falls outside the expected range, the IoT system will let the clinician know. The medical staff can process and evaluate their current state by processing information about patients' ailments through a gateway.