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

• المؤلف الرئيسي: Zuo, Jia
• مؤلفون آخرون: Xie Lihua
• التنسيق: Thesis-Master by Coursework
• اللغة: English
• منشور في: Nanyang Technological University 2025
• الموضوعات: Computer and Information Science; Engineering; Medicine, Health and Life Sciences; Non-contact vital sign monitoring; Fine-grained ECG waveform recovery; mmWave radar; Diffusion model
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/182152

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...