Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

The Development of a multi input model to improve the classification accuracy of a fall model: Utilizing Three Axis Accelerometer and Holter ECG Data

Full metadata record
DC Field Value Language
dc.contributor.author김성민-
dc.date.accessioned2025-01-18T00:01:32Z-
dc.date.available2025-01-18T00:01:32Z-
dc.date.issued2024-08-03-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/57120-
dc.titleThe Development of a multi input model to improve the classification accuracy of a fall model: Utilizing Three Axis Accelerometer and Holter ECG Data-
dc.typeConference-
dc.citation.startPage1-
dc.citation.endPage1-
dc.citation.conferenceNameAIS-I3S 2024-
dc.citation.conferencePlace대한민국-
dc.citation.conferencePlace국립 싱가포르 대학교-
dc.citation.conferenceDate2024-08-01 ~ 2024-08-04-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Life Science and Biotechnology > Department of Biomedical Engineering > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Sung Min photo

Kim, Sung Min
College of Life Science and Biotechnology (Department of Biomedical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE