Beyond Black Boxes: Trustworthy and Energy-Efficient IoT Systems for Extended Lifespan and Reduced Bias in Remote Health Monitoring

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
10
Authors
Casado, Constantino Álvarez; Safarpour, Mehdi; Nguyen, Le; Cabaleiro, Jacobo; Sharifipour, Sasan; Susarla, Praneeth; Cañellas, Manuel Lage; Kumar, Abhishek; Pedone, Matteo; López, Miguel Bordallo

Publication channel information

Title of host publication
2025 International Conference on Networking, Sensing and Control (ICNSC)
ISBN (print)
979-8-3315-9750-4
ISBN (electronic)
979-8-3315-9749-8
Name of conference
International Conference on Networking, Sensing and Control
Title of journal/series
Conference proceedings : IEEE International Conference on Networking, Sensing and Control
ISSN (print)
1810-7869
ISSN (linking)
1810-7869
Publisher
IEEE
Publication forum ID
73685
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2025
Bibliographical publication year
2025
Reporting year
2025
Page numbers
356-363
DOI
10.1109/ICNSC66229.2025.00066
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
Yes

Availability

Classification and additional information

MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics, 113 Computer and information sciences
Keywords
IoT health monitoring; Energy efficiency; Edge computing; Remote photoplethysmography (rPPG); Bias mitigation; Modular architectures; Interpretability; Responsible AI

Funding information

Funding information in the publication
The research was supported by the University of Oulu and the Research Council of Finland (former Academy of Finland) 6G Flagship Programme (Grant Number: 346208), Profi5 HiDyn programme (326291), and Profi7 Hybrid intelligence program (352788).
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
6G Flagship
Funding decision
346208
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
Profi5 HiDyn programme
Funding decision
326291
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
Profi7 Hybrid intelligence program
Funding decision
352788

Source database ID

Scopus ID
2-s2.0-105034881306
Other database ID
IEEE: 11372835