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Use of a Riemannian-geometry-based classifier significantly enhances the accuracy of machine-learning-based diagnosis of post-traumatic stress disorder with resting-state EEG data

Authors
임창환
Issue Date
2-Nov-2018
Publisher
대한뇌기능매핑학회 KHBM
Citation
2018년도 대한뇌기능매핑학회 추계학술대회
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/24488
Conference Name
2018년도 대한뇌기능매핑학회 추계학술대회
Place
서울대 호암교수회관 삼성컨벤션센터 무궁화홀
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서울 공과대학 > 서울 생체공학전공 > 2. Conference Papers

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Im, Chang Hwan
COLLEGE OF ENGINEERING (서울 바이오메디컬공학전공)
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