A novel interpretable feature set optimization method in blood pressure estimation using photoplethysmography signals
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference45 articles.
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1. Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment;Communications Medicine;2024-07-12
2. An efficient Blood pressure estimation algorithm based on machine learning using a mixture of non-contact hand-face PPG signals features;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11
3. Video-based beat-by-beat blood pressure monitoring via transfer deep-learning;Applied Intelligence;2024-03
4. Blood Pressure Estimation through Photoplethysmography and Machine Learning Models;2023 9th International Conference on Control, Instrumentation and Automation (ICCIA);2023-12-20
5. A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals;IEEE Journal of Biomedical and Health Informatics;2023
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