Séminaires virtuels du CHAPITRE EMBS/CASS de Québec
Biomedical Signal Processing and Modelling in Cardiovascular Applications
Dr. Frida Sandberg, Associate professor at the Department of Biomedical Engineering, Lund University, Sweden.
Mardi le 9 novembre 2021 à 9h00, en direct sur Zoom / Tuesday November 9, 2021 at 9 am on Zoom :
https://us02web.zoom.us/j/87920966925?pwd=S1pRK3RiRmdFWTJ0RU1OTG8wQ0hKZz09
Abstract
The presentation deals with biomedical signal processing and model-based analysis focusing on signals of cardiovascular origin. The aim of such analysis is to extract desired information from available physiological measurements. This is challenging since the measurements usually provide indirect observations of complex phenomenon. Further, the processing methodology must account for individual variation as well as time dynamics and measurement noise. I will present some of my recent research including characterization of atrial fibrillation for personalized treatment.
Short Bio
Frida Sandberg received the M.Sc. degree in electrical engineering and the Ph.D. degree in signal processing from Lund University, Lund, Sweden, in 2003 and 2010, respectively. She is since 2018 Associate Professor at the Department of Biomedical Engineering at Lund University. Her research focuses on biomedical signal processing, with particular interest in signals of cardiovascular origin.
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- Date: 09 Nov 2021
- Time: 09:00 AM to 10:00 AM
- All times are (GMT-05:00) Canada/Eastern
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Speakers
Dr Frida Sandberg of Associate professor at the Department of Biomedical Engineering, Lund University, Sweden
Biomedical Signal Processing and Modelling in Cardiovascular Applications
The presentation deals with biomedical signal processing and model-based analysis focusing on signals of cardiovascular origin. The aim of such analysis is to extract desired information from available physiological measurements. This is challenging since the measurements usually provide indirect observations of complex phenomenon. Further, the processing methodology must account for individual variation as well as time dynamics and measurement noise. I will present some of my recent research including characterization of atrial fibrillation for personalized treatment.
Biography:
Frida Sandberg received the M.Sc. degree in electrical engineering and the Ph.D. degree in signal processing from Lund University, Lund, Sweden, in 2003 and 2010, respectively. She is since 2018 Associate Professor at the Department of Biomedical Engineering at Lund University. Her research focuses on biomedical signal processing, with particular interest in signals of cardiovascular origin.