Towards Higher Accuracy in Vital-Sign Detection Using MIMO and Deep Learning

Prof. Aly E. Fathy will discuss advances in non-contact vital-sign monitoring, highlighting technologies that enable remote monitoring of heart rate (HR) and respiratory rate (RR). The integration of Multiple-Input Multiple-Output (MIMO) systems, particularly using mm-wave technology, offers enhanced accuracy and reliability over traditional single-antenna systems. The presentation will cover a 77GHz FMCW radar system with 192 MIMO channels for capturing subtle cardiac and respiratory signals, and the use of advanced signal processing techniques such as MIMO-MRC, novel wavelet methods, and Convolutional Neural Networks (CNN) for improved channel classification and detection accuracy.