Cloud Server Based Intelligent Health Care Kit using Body Sensor Network

In this study, the model investigates designing and deploying a Body Sensor Network (BSN)-based intelligent healthcare kit hosted on a cloud server. This study aims to determine whether and how well this technology can track and manage people's health. The study focuses on developing and implementing wearable sensors for continuously monitoring vital signs such as heart rate, blood pressure, temperature, and oxygen saturation. The data is sent wirelessly to a gateway device or central hub, which may be processed locally or analyzed in the cloud using sophisticated algorithms and machine learning methods. The cloud server is crucial for tracking users' vitals, spotting outliers, and alerting users and medical staff in real time. Based on an individual's health data, the system offers suggestions for changing one's lifestyle, taking medications as prescribed and engaging in physical activity. The cloud server ensures the privacy and security of stored data and complies with applicable data protection laws. In addition, methods are investigated for integrating the intelligent healthcare kit with preexisting healthcare systems and electronic health records to support the smooth exchange of data and the provision of all-encompassing medical treatment. This work aims to promote healthcare technology and patient care by conducting empirical research and assessing a cloud server-based intelligent healthcare kit employing a body sensor network.