Pupil Size Derived Features Improve the Accuracy of Eye-Tracker Based MCI Classification

Approved

Classifications

MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform

Authors of the publication

Number of authors
7
Authors
Andberg, Sami; Shah, Hasnain Ali; Hannonen, Sanna; Kärkkäinen, Virve; Kaarniranta, Kai; Koivisto, Anne M; Bednarik, Roman

Publication channel information

Title of host publication
2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)
Editors of host publication
González, Alejandro Rodríguez; Sicilia, Rosa; Santamaría, Lucía Prieto; Papadopoulos, George A; Guarrasi, Valerio; Cazzolato, Mirela Teixeira; Kane, Bridget
ISBN (electronic)
979-8-3315-2610-8
Name of conference
IEEE International Symposium on Computer-Based Medical Systems
Title of journal/series
Proceedings (IEEE International Symposium on Computer-Based Medical Systems)
ISSN (print)
2372-918X
ISSN (electronic)
2372-9198
ISSN (linking)
2372-918X
Publication forum ID
88218
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2025
Reporting year
2025
Page numbers
957-962
DOI
10.1109/CBMS65348.2025.00191
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
3124 Neurology and psychiatry, 217 Medical engineering, 113 Computer and information sciences
Keywords
Alzheimer's disease; Diagnosis; Eye tracking; Machine Learning; Mild Cognitive Impairment

Funding information

Funding information in the publication
Northern Savo Hospital District

Source database ID

Scopus ID
2-s2.0-105010654234