Event Details
Detection of Dementia: Using Electroencephalography and Machine Learning
Presenter: Tanveer Ahmed
Supervisor:
Date: Fri, November 17, 2023
Time: 13:00:00 - 00:00:00
Place: ZOOM - Please see below.
ABSTRACT
Zoom Meeting Link: https://uvic.zoom.us/j/4099019544?pwd=Qi9JNlI3ejk3SFMyTjk0SG5USW5uZz09
Meeting ID: 409 901 9544
Password: 356470
One tap mobile
+16475580588,,4099019544# Canada
+17789072071,,4099019544# Canada
Dial by your location
+1 647 558 0588 Canada
+1 778 907 2071 Canada
Note: Please log in to Zoom via SSO and your UVic Netlink ID
ABSTRACT
Dementia is a general term used to describe a decline in mental ability that interferes with daily life. It is characterized by a loss of memory, language, problem-solving and other thinking abilities. This research aims to investigate the use of EEG (Electroencephalography) signals to detect Alzheimer Dementia in elderly individuals. The use of EEG signals and machine learning has emerged as a promising approach for the early detection and monitoring of dementia. EEG signals provide valuable information about brain activity, which can be analyzed using machine learning algorithms to identify patterns associated with the disease. This research will also discuss various EEG features extraction, feature selection techniques and machine learning algorithms in comparison to the current state of research on the use of EEG signals and machine learning for the detection of dementia and will provide an analysis of the results obtained.