CONTACTLESS SIMULATION MODEL FOR HUMAN VITAL MONITORING USING UWB RADAR

The non-contact vital sign monitoring using Ultra-Wideband (UWB) radar technology it is based on software simulation. The system aims to detect key physiological signals such as respiration rate and heart rate by modeling the chest motion of a human subject. Instead of using physical radar hardware, this project simulates radar echo signals and signal processing using MATLAB. The simulation includes radar pulse generation, chest motion modelling, signal reflection, noise addition, and digital signal processing to extract vital signs. The approach is costeffective, hardware-free, and ideal for academic, medical research, and prototype testing environments. This approach offers a low-cost and flexible platform for prototyping, academic research, and algorithm testing without the need for physical sensors. The simulated environment enables controlled testing under various conditions, including motion artifacts, noise levels, and target distances. It is particularly useful for applications in remote patient monitoring, elderly care, neonatal health assessment, and disaster response systems, where contact-based monitoring may be impractical or risky.

 Key Words: Ultra-Wideband (UWB) radar, Non-contact vital sign monitoring, Radar simulation, Chest motion modelling, Heart rate detection, Respiration rate detection, Signal processing, MATLAB simulation, Biomedical signal analysis, Digital signal processing (DSP), Frequency domain analysis, Fast Fourier Transform (FFT), Non-invasive monitoring, Synthetic radar signals, Time–frequency analysis, Software-based radar system, Echo signal simulation, Remote health monitoring, Vital sign extraction, Smart healthcare systems.