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Cloud-IoT-Based Healthcare Applications: Case Study I-Seizure Prediction
Abstract
The healthcare system is to transform because to the confluence of cloud computing and the Internet of Things (IoT), especially in the treatment of chronic illnesses like seizures. To improve patient care, this chapter explores the creation and use of a seizure prediction system that makes use of these technologies. The physiological characteristics of patients may be continuously and in real-time monitored by using Internet of Things devices such as temperature sensors, heart rate monitors, and wearable EEG sensors. The gathered data is sent to cloud platforms, where sophisticated machine learning algorithms interpret and evaluate it to provide extremely accurate seizure predictions. Personalized treatment plans and thorough health profiles are made possible by integration with Electronic Health Records (EHR), which further enhances the data. Pilot projects show how the system may enhance both operational effectiveness and patient outcomes. Prospective avenues for development encompass progressions in artificial intelligence, scalability, and implementation in various environments.
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