Enhanced IoT- Assisted Wearable Data Analytics for Patient Monitoring and Healthcare Systems

Recent technological advancements have opened the path for smart gadgets, including wearable devices. Wearable sensors can predict human body motions and track a variety of medical symptoms associated with chronic diseases. The proposed study utilizes IoT sensors to monitor human bodily states, with the obtained data being saved in a cloud context. The data saved in the cloud environment is analyzed further using data analysis algorithms to enable clinicians’ efficient monitoring and prompt response. Moreover, data fluctuation may assist physicians in notifying them of emergencies, preserving a precious human life. The proposal might be implemented efficiently in emergency medical settings when patients need continual monitoring and the greatest attention from medical professionals. The suggested idea might be used to deploy several life-threatening conditions such as spinal muscular atrophy, hypertrophic cardiomyopathy, and Covid patient monitoring.