Open AccessLightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection
Author(s) -
Aysan Mahmoudzadeh,
Iman Azimi,
Amir M. Rahmani,
Pasi Liljeberg
Publication year - 2021
Publication title -
procedia computer science
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2021.03.025
Subject(s) - computer science , photoplethysmogram , anomaly detection , internet of things , real time computing , quality (philosophy) , data mining , artificial intelligence , embedded system , telecommunications , wireless , philosophy , epistemology
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