Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach

Aoife Sweeney; Barry Devereux; Charlie Ong; John McKinley; Julia Foy; Brian Murphy; Bernadette McGuinness; Anthony Passmore

Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach

Aoife Sweeney, Barry Devereux, Charlie Ong, John McKinley, Julia Foy, Brian Murphy, Bernadette McGuinness, Anthony Passmore

Research output: Contribution to conference › Abstract › peer-review

Original language	English
Publication status	Published - 02 Sept 2019
Event	International Conference of the Royal Statistical Society (RSS 2019) - Belfast, United Kingdom Duration: 02 Sept 2019 → 05 Sept 2019 https://events.rss.org.uk/rss/frontend/reg/thome.csp?pageID=83705&ef_sel_menu=1647&eventID=270

Conference

Conference	International Conference of the Royal Statistical Society (RSS 2019)
Abbreviated title	RSS 2019
Country/Territory	United Kingdom
City	Belfast
Period	02/09/2019 → 05/09/2019
Internet address	https://events.rss.org.uk/rss/frontend/reg/thome.csp?pageID=83705&ef_sel_menu=1647&eventID=270

The feasibility of Mobile-EEG to profile cognitive impairment in Parkinson’s disease
Sweeney, A. (Author), Passmore, A. (Supervisor), Devereux, B. (Supervisor) & McGuinness, B. (Supervisor), Jul 2023
Student thesis: Doctoral Thesis › Doctor of Philosophy

Cite this

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title = "Electrophysiological Signatures of Cognitive Impairment in Parkinson{\textquoteright}s Disease – A Machine Learning Approach",

author = "Aoife Sweeney and Barry Devereux and Charlie Ong and John McKinley and Julia Foy and Brian Murphy and Bernadette McGuinness and Anthony Passmore",

year = "2019",

month = sep,

day = "2",

language = "English",

note = "International Conference of the Royal Statistical Society (RSS 2019), RSS 2019 ; Conference date: 02-09-2019 Through 05-09-2019",

url = "https://events.rss.org.uk/rss/frontend/reg/thome.csp?pageID=83705&ef_sel_menu=1647&eventID=270",

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TY - CONF

T1 - Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach

AU - Sweeney, Aoife

AU - Devereux, Barry

AU - Ong, Charlie

AU - McKinley, John

AU - Foy, Julia

AU - Murphy, Brian

AU - McGuinness, Bernadette

AU - Passmore, Anthony

PY - 2019/9/2

Y1 - 2019/9/2

M3 - Abstract

T2 - International Conference of the Royal Statistical Society (RSS 2019)

Y2 - 2 September 2019 through 5 September 2019

ER -

Electrophysiological Signatures of Cognitive Impairment in Parkinson’s Disease – A Machine Learning Approach

Conference

Student theses

The feasibility of Mobile-EEG to profile cognitive impairment in Parkinson’s disease

Cite this