Excited to have our manuscript describing Uncertainty Quantification in #ECGI accepted at the Journal of Physiological Measurement! We explore techniques to apply UQ to ECGI using variability in heart position as a test case.#EPeeps#CardioTwitteriopscience.iop.org/article/1…
📢 Only 1 week left to submit abstracts for the ECGI Summit! 📝 Don't miss this opportunity to showcase your research and contribute to the advancement of ECGI. Submit your abstract now and be part of this exciting scientific gathering in Valencia #ECGI#CallForAbstracts
🚀 Launching the #ECGISummit2023 in Valencia, Spain! Join us to explore last Electrocardiographic Imaging ECGI advances & forge connections in the #ECGI community from 5th to 8th of November. Abstract submissions are now OPEN! Deadline June 30th! #CardioTwitter#EPeeps
Say hello to Anna Busatto! Anna is a runner, and this interest is what led to her fascination with the #heart and how its characteristics/behaviors can change between individuals.
Our Satellite Symposium is live! We are enjoying interesting talks by many #ECGI speakers both in Tampere, Finland, and virtually! Amazing how many researchers work WITH and ON #ECGI, and hopefully our meeting will further promote new and existing collaborations!
We are looking forward to not only #CinC2022, but also the Satellite symposium in Tampère the day after (Sept 8)! ECGI experts will showcase their most contemporary research, alongside a software workshop! Online attendance also possible, register through shorturl.at/aehTY
Get excited, here's the preliminary program for the 2022 CEI satellite meeting! Sep 8 following @CinC2022 in Tampere Finland.We'll hear from experts across the world with updates on their progress and challenges in developing, implementing, and using ECGI. #EPeeps#CardioTwitter
🎉Congratulations to Brian Zenger! 🎉His Ph.D. dissertation, "Experimental Examination of Partial Occlusion Acute Myocardial Ischemia" was chosen as the College of Engineering Outstanding Dissertation for 2021!
👀Read more here: bme.utah.edu/2022/04/13/coll…
Our research localizing cardiac position using #ECGI has been published in Computers in Biology and Medicine. We were able to locate the cardiac geometry using only body surface potentials.
Read it: authors.elsevier.com/a/1eRxq…
Thanks to all my collaborators! #EPeeps#CardioTwitter
We tested the ability to localize the heart using a range of BSP leadsets. We found that even with as few as 3 lead sets we could still see improved cardiac position estimates. In particular, the 3 strip leadsets shown below performed in many cases as well as the full lead set.
This figure shows an algorithm summary. BSP sigs from multiple heartbeats are sue to iteratively estimate a single inverse solution and then a set of cardiac position parameters allowing for correction of cardiac position over a group of heartbeats, each with their own position.