USC researchers have developed a novel array-based respiratory monitoring system, which realizes continuous acoustic signature recognition and classification using a low-power and noise-robust method. This invention has wide-ranging applicability to low-power and self-powered wireless sensing and detection systems, such as wearable, wirelessly-connected, always-on lung-sound trackers that are as effective as evaluation by a trained clinician. Nikolaus Traitler traitler@usc.edu (213) 821-3550
Smart, interactive desk
May 8, 2023
No Comments
Get ready to take your space management game to the next level with the University of Glasgow’s innovative project! By combining the