Hugo Posada-Quintero

Assistant Professor

Biomedical Engineering

Dr. Posada-Quintero’s research includes the development of signal processing techniques, wearable instrumentation, and sensors for biomedical applications. Specifically, the aim of his research is to develop models and biomedical instrumentation for the detection and prediction of stress, fatigue, pain, emotional state, hydration status, wakefulness, cognitive performance, heart failure, among others. He use modern mathematical tools to process bioelectrical signals obtained from different sites of the body, like the electrocardiogram, electromyogram, photoplethysmogram, electrodermal activity, and explore the relationship between those signals and the biomedical variable being detected or predicted. The mathematical processes are focused on the development of more sensitive biomarkers and features, and the development of multimodal algorithms (multiple signals combined). In addition, his use our novel features and train artificial intelligence tools (machine learning and deep learning algorithms) for the development of more accurate models. Furthermore, he develops novel sensors and electronic devices to better capture the electrophysiological signals using portable and wearable devices.