The research output of the Cube³ has been recently disseminated in national and international conferences.

The educational portion of the lab, in collaboration with Dr. David Lin from Washington State University, produced the article titled "Work in Progress: A Themed Problem-Learning Redesign of Bioinstrumentation Lectures". This article describes our current approach of using a theme to facilitate the problem-based learning (PBL) experience of the bioinstrumentation course at UC Davis BME for better student engagement and learning outcome. The article was presented as a poster presentation in American Society of Engineering Education (ASEE) Annual Conference 2023 in Baltimore, MD. You may access the full article for free here: https://peer.asee.org/board-10-work-in-progress-a-themed-problem-learning-redesign-of-bioinstrumentation-lectures.pdf

The technical portion of the lab, in collaboration with Drs. Cha, Scully, and Sahiner from the U.S. Food and Drug Administration, produced the article titled "AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks". This article, being first ever in its kind, describes the generation of artificial atrial fibrillation-like ECG using a generative adversarial network inspired by the characteristics of AF-like ECGs. The article was presented in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023) in Sydney, Australia. You can currently download the paper for free here: full-paper_600.pdf. In the meantime, you can obtain a copy of our synthesized data through IEEE DataPort: https://ieee-dataport.org/documents/synthesized-atrial-fibrillation-ecg-using-generative-adversarial-network.

The lab is excited about the research output during the past year and is looking forward to more outputs during the next year.