Cardiac Arrhythmia Analysis
An important goal of this project is to provide non-invasive diagnostic tools for atrial arrhythmias so as to help select the proper treatment for individual patients. Special emphasis is given to the development of robust signal processing techniques for the purpose of characterizing such arrhythmias by time-frequency and waveform analysis. Resulting techniques have a wide range of applications, including drug therapy evaluation, ablation guidance, and phenotyping.
Otoacoustic Signal Processing
This project focuses on signal processing of transiently evoked otoacoustic emissions, useful in applications such as hearing screening of newborns. An important goal with this project is to develop methods for improving signal-to-noise ratio of the emissions to facilitate their detection. Another important aspect is to characterize the frequency-dependent latency of otoacoustic emissions suing, e.g., time windowing and wavelet decomposition.
Risk Stratification Dialysis
Hypotension remains the most common acute complication during hemodialysis and is associated with nausea, vomiting, and even fainting. The goal of this project is to develop noninvasive techniques for detecting and predicting drastic changes in blood pressure so as to prevent hypotension. Different physiological quantities are investigated such as heart rate variability, the occurrence of ectopic beats and related turbulence, and the pulse oximetry signal. Other projects related to hemodialysis include the detection of sleep apnea based on an ECG-derived respiratory signal and the detection of fistula occlusion.