Cardiovascular Activity Monitoring Using mmWaves
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Updated
Aug 29, 2021 - C++
Cardiovascular Activity Monitoring Using mmWaves
Configures the FMCW waveform based on the system requirements. Then defines the range and velocity of a target and simulates its displacement. For the same simulation loop process, the transmit and receive signals are computed to determine the *beat* signal. Then it performs a Range FFT on the received signal to determine the Range Towards the e…
2D FFT, Doppler effect and CFAR implementation with matlab
A Roadmap for Quickstart: Curated resources for Vital Signs & HCI. Maintained by phish-tech.
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ETH Zürich Semester Project exploring the possibilities of using Deep Learning to extract vital signs from Radar Data
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Code and additional information to our paper "RACPIT: Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation"
📣📣 🗂 Official repository of papers "A dataset of 120 GHz millimeter-wave radar vital signals with synchronized reference recordings" and "A clinical dataset of synchronized 120 GHz mmWave radar and reference vital sign recordings from cardiovascular inpatients" (Sci. Data) 📣📣
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