4 accepted papers
This paper develops a new beamforming method using focused frequency time reversal (FFTR) matrices as well as the time reversal-based MUltiple SIgnal Classification (MUSIC) algorithm to focus spatially on the location of possible tumor for microwaves-based breast cancer detection. A key feature of t…
Heart rate variability (HRV) from electrocardiograms (ECG) is a well-known diagnostic method for the assessment of autonomic nervous function of the heart. A more convenient approach to assess cardiac function is by using Photoplethysmography (PPG) waveforms where pulse rate variability (PRV) replac…
We propose a super-resolution image reconstruction method which uses focused frequency time reversal (FFTR) matrices to focus in frequency for ultrawideband (UWB) ultrasound signals, as well as time reversal MUltiple SIgnal Classification (MUSIC) algorithm to focus spatially on the target location.…
The paper investigates combining Compressive Sensing (CS) with the robust Capon beamformer (RCB) for the purpose of medical ultrasound image formation with a much reduced number of samples compared to those used in current state-of-art ultrasound. The proposed CS algorithm uses wave atom dictionary…