[SERIES] NeuroTech-Talk 2: Developing EEG Technologies
Details
http://photos3.meetupstatic.com/photos/event/b/8/5/3/600_446087187.jpeg
Welcome to the second meetup of the NeuroTechTO winter lecture series. This event has been sponsored by our good friends at Paytm Labs in Toronto. Thank you Paytm (@paytmlabs)!
http://photos2.meetupstatic.com/photos/event/b/8/d/9/600_446087321.jpeg
---
Following from our first Neuro Tech-Talk, we will continue to discuss the many elements of developing EEG technology. In particular, we will learn about the science underlying the processing of raw signal data acquired when using EEG technology to record the brain.
In this lecture, we wish to discuss the following topics of EEG signal processing and its possible connection with neurophysiology:
-
the limitations that exist with interpreting surface EEG recordings
-
EEG signal cleaning (why, what and how) and origins of noise
-
Various signal processing techniques
---
Speaker : Dr. Faranak Farzan
Speaker Bio:
Dr. Farzan received her Bachelor in Electrical and Biomedical Engineering in 2006 from McMaster University in Hamilton, Canada. In 2010, she received her PhD from University of Toronto in the collaborative program of Medical Science and Biomedical Engineering. Subsequently, she completed her postdoctoral training in cognitive neurology at Harvard Medical School in Boston, United States. As of 2013, Dr. Farzan is an Independent Scientist at Temerty Centre for Therapeutic Brain Intervention, and an Assistant Professor of Psychiatry at University of Toronto.
Dr. Farzan research is in the area of neuroengineering with application in medical diagnosis and neurotherapeutics. Dr. Farzan's work aims to address three important challenges for the implementation and adoption of neurotechnology in clinical and translational research: (1) Development of novel experimental strategies to safely, reliably, and inexpensively assess brain health in humans across the life span; Dr. Farzan's research program is currently seeking to assess the integrity and plasticity of cortical inhibitory processes across the life span, the association between these processes and behavior in healthy humans, as well as in response to pharmacological and brain stimulation treatment in neuropsychiatric disorders. (2) Identification of computational and data management strategies to facilitate the discovery of neurophysiological markers of brain health and impairments; and (3) Translation of this gained knowledge into clinical practice in the form of novel and neurophysiology -guided diagnosis and treatment, and facilitating clinical decisions.
---
Join us as we discuss the important technical and physiological aspects of signal processing using EEG devices.
Thanks - Bryan, Aaron and Kushbu.