A self-supervised multimodal framework for 1D physiological data fusion in remote health monitoring
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Information fusion
ISSN (print)
1566-2535
ISSN (electronic)
1872-6305
ISSN (linking)
1566-2535
Publisher
Elsevier
Publication forum ID
57835
Publication forum level
3
Country of publication
Netherlands
Internationality
Yes
Detailed publication information
Publication year
2025
Bibliographical publication year
2025
Reporting year
2025
Journal/series volume number
124
Article number
103397
DOI
10.1016/j.inffus.2025.103397
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences, 217 Medical engineering
Keywords
Breathing pattern recognition; Physiological analysis; Self-supervised learning
Funding information
Funding information in the publication
The research was supported by the Research Council of Finland (former Academy of Finland) 6G Flagship Programme (Grant Number: 346208), and Infotech Oulu.
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
-
Funding decision
-
Research data information
Research data information in the publication
Data will be made available on request.
Source database ID
WoS ID
WOS:001521603300006
Scopus ID
2-s2.0-105009009156