New ACM CHI Paper Wins Award: Machine Learning and Visualization for Heart Arrhythmia Detection

I’m excited to share that our recently accepted ACM CHI 2018 paper has been honored with an Honorable Mention Award, a highly selective designation given to the very best accepted CHI papers of the year.  The paper focuses on a visual analytics approach to heart arrhythmia detection within very long ECG data streams.  The system combines interactive data visualization with a deep learning model for heartbeat classification to help clinicians quickly and efficiently identify clinically important heartbeat signals.  The paper also presents results from user studies which demonstrate a number of benefits from our approach.

To learn more, please visit the project’s webpage.