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

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

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...

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書目詳細資料
主要作者:	Zuo, Jia
其他作者:	Xie Lihua
格式:	Thesis-Master by Coursework
語言:	English
出版:	Nanyang Technological University 2025
主題:	Computer and Information Science Engineering Medicine, Health and Life Sciences Non-contact vital sign monitoring Fine-grained ECG waveform recovery mmWave radar Diffusion model
在線閱讀:	https://hdl.handle.net/10356/182152
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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