Description:iv. Summary of Invention:
The invention provides an integrated IoT-VLC-based system for real-time health monitoring. The system comprises wearable biosensors attached to a patient, VLC-enabled communication modules utilizing LED lights, a data aggregation hub, and a cloud-based monitoring interface. The wearable sensors collect physiological parameters, which are transmitted using VLC to a local receiver. The IoT platform processes the information and transmits alerts or notifications to medical personnel if anomalies are detected.
, Claims:I/We claim the following,

1. A real-time healthcare monitoring system comprising:
a. one or more wearable biosensors configured to collect physiological parameters of a patient;
b. a visible light communication (VLC) module configured to transmit the collected physiological data using LED-based light signals;
c. a photodiode-based VLC receiver configured to receive the transmitted signals;
d. an IoT gateway configured to aggregate received data and forward it to a cloud-based processing unit;
e. a cloud server that analyzes data and presents it through a real-time dashboard;
f. an alert mechanism configured to notify medical personnel upon detection of abnormal physiological parameters.
2. The system as claimed in claim 1, wherein the wearable biosensors include at least one of: heart rate sensor, temperature sensor, SpO2 sensor, and ECG sensor.
3. The system as claimed in claim 1, wherein the VLC module comprises a modulated LED light source for transmitting data.
4. The system as claimed in claim 1, wherein the IoT gateway includes a microcontroller with wireless communication capabilities.
5. The system as claimed in claim 1, wherein the cloud server comprises a machine learning model for predictive health anomaly detection.