A CNN and diffusion based encoder-decoder model to extract fine-grained human vital waveforms from mmWave radar

• Main Author: Zuo, Jia
• Other Authors: Xie Lihua
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Computer and Information Science; Engineering; Medicine, Health and Life Sciences; Non-contact vital sign monitoring; Fine-grained ECG waveform recovery; mmWave radar; Diffusion model
• Online Access: https://hdl.handle.net/10356/182152
• Institution: Nanyang Technological University

Vital signs like electrocardiogram (ECG) waveforms, are critical for early disease monitoring and prevention, including the detection of cardiac abnormalities. Radio-frequency (RF) sensors like millimeter-wave (mmWave) radar, have emerged as significant tools for non-contact vital sign monitoring in...