Angel’s research investigated how multiple implantable sensors (combining vascular distension, acoustic, and optical modes) can robustly sense hemodynamics in real time. Because the sensors use different modalities, time-based feature cross-correlation can potentially enable new insights into physiology.
Congratulations to Angel, and we wish him the best of luck now that he has graduated!