Continuous Patient-Independent Estimation of Respiratory Rate and Blood Pressure Using Robust Spectro-Temporal Features Derived From Photoplethysmogram Only

This project focuses on the development of a continuous, non-invasive health monitoring system for estimating respiratory rate and blood pressure. The system utilizes signal processing techniques to extract key health parameters from a Photoplethysmogram (PPG) signal, while a blood pressure sensor provides periodic measurements. By analysing the PPG signal for spectro-temporal features, the system is able to estimate the respiratory rate, while the BP sensor delivers accurate blood pressure readings. The collected data is transmitted wirelessly to a cloud-based platform for real-time visualization and monitoring. This solution offers a cost-effective, easy-to-implement method for continuous monitoring of vital health signs, making it suitable for use in home healthcare, wearable devices, and remote patient monitoring. It provides a patient-independent approach to health tracking, enhancing accessibility, improving timely intervention, and supporting overall patient care.