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Topic
Persyst Grand Rounds: "What do those color plots mean? Understanding quantitative EEG plots."
Description
Join us for Persyst Grand Rounds, a series of online lectures covering topics related to EEG and quantitative EEG for both the management and surgical evaluation of epilepsy and for monitoring and assessment in neurocritical care ICU environments.
We are honored to welcome Dr. Daniel Goldenholz, M.D., PhD, Assistant Professor of Neurology at Harvard's Beth Israel Deaconess Medical Center for his talk "What do those color plots mean? Understanding quantitative EEG plots."
Learning Objectives:
1. Understand what each of the main quantitative EEG (qEEG) plots from Persyst display.
2. Understand the basics of how the qEEG plots are generated.
3. Understand the basic limitations of each qEEG plot.
Time
Feb 10, 2023 11:00 AM in
Eastern Time (US and Canada)
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Speakers
Dr. Daniel Goldenholz, M.D., PhD
Assistant Professor of Neurology
@
Harvard's Beth Israel Deaconess Medical Center
Daniel M. Goldenholz, MD, PhD is an assistant professor of Neurology at Harvard’s Beth Israel Deaconess Medical Center. His background is in electrical and computer engineering, biomedical engineering, neuroradiology, biostatistics, data science, machine learning, and epileptology. His research focuses on ways to do this, such as seizure forecasting among other fun things.
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Hi there, You are invited to a Zoom webinar. When: Feb 10, 2023 11:00 AM Eastern Time (US and Canada) Topic: Persyst Grand Rounds: "What do those color plots mean? Understanding quantitative EEG plots." Register in advance for this webinar: https://us02web.zoom.us/webinar/register/WN_tZpUkVfBQDyidynjizoFaw After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Dr. Daniel Goldenholz, M.D., PhD (Assistant Professor of Neurology @Harvard's Beth Israel Deaconess Medical Center) Daniel M. Goldenholz, MD, PhD is an assistant professor of Neurology at Harvard’s Beth Israel Deaconess Medical Center. His background is in electrical and computer engineering, biomedical engineering, neuroradiology, biostatistics, data science, machine learning, and epileptology. His research focuses on ways to do this, such as seizure forecasting among other fun things.
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