IoT-Based Smart Health Monitoring Systems based on Real-Time Patient Data Collection with Wearable Sensors

Abstract

The invention pertains to an Internet of Things (IoT)-based smart health monitoring system that gathers physiological data in real time, including blood pressure, oxygen saturation, and heart rate, utilizing wearable technology. The gathered information is sent to a cloud-based platform where machine learning and advanced analytics identify anomalies and produce warnings for medical attention. For smooth data transfer, the system offers adaptable IoT connectivity via cellular networks, Bluetooth, and Wi-Fi. Depending on the seriousness of identified health hazards, a multi-tiered alert system guarantees prompt communication to medical professionals. By encrypting sensitive data and adhering to healthcare privacy laws, the invention places a high priority on data security.

Specification

Description:[001] This invention is included in the category of Internet of Things-based health monitoring technologies, with a particular emphasis on wearable sensors for real-time patient data collecting and monitoring. Through a network of Internet of Things (IoT) devices that effortlessly gather, transmit, and analyze critical health data in real-time, the idea seeks to improve healthcare delivery by enabling continuous, remote patient monitoring. The invention enables healthcare providers to retain a proactive approach in patient monitoring and treatment by combining wearable technology and the Internet of Things in a non-intrusive manner.
[002] The innovation also pertains to telemedicine and biomedical informatics, which use digital technology to close the distance between patients and medical professionals. As the healthcare sector moves toward telemedicine services, chronic illness management, and preventative treatment, this field is becoming more and more significant. By providing healthcare providers with in , Claims:1. A wearable device for real-time collection of physiological data, equipped with sensors for heart rate, blood pressure, temperature, respiratory rate, and oxygen saturation.

2. A cloud-based analysis platform that processes data from wearable devices, using machine learning to detect abnormalities and send alerts for early medical intervention.


3. A flexible IoT connectivity module within the wearable, supporting Bluetooth, Wi-Fi, and cellular networks for continuous data transmission across varying environments.

4. A multi-tiered alert system that categorizes and sends notifications based on health risk levels, targeting caregivers, healthcare providers, or emergency responders as needed.


5. A data security framework that encrypts data, limits access to authorized personnel, and complies with healthcare privacy regulations such as HIPAA and GDPR.

Documents