Improving the quality of pulse rate variability derived from wearable devices using adaptive, spectrum and nonlinear filtering
Open Access
- 15 December 2024
- journal article
- research article
- Published by Elsevier in Biomedical Signal Processing and Control
- Vol. 102
Abstract
No abstract availableKeywords
Funding Information
- National Science Centre Poland (2020/37/B/ST6/03806)
- HORIZON EUROPE Framework Programme (101086321)
- Department of Artificial Intelligence, Korea University
- Politechnika Wrocławska
- European Commission
- Ministry of Education and Science of the Republic of Poland
This publication has 71 references indexed in Scilit:
- Machine learning framework for Inter-Beat Interval estimation using wearable Photoplethysmography sensorsBiomedical Signal Processing and Control, 2023
- Feasibility study for detection of mental stress and depression using pulse rate variability metrics via various durationsBiomedical Signal Processing and Control, 2022
- The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parametersBiomedical Signal Processing and Control, 2022
- Comparison of pulse rate variability and morphological features of photoplethysmograms in estimation of blood pressureBiomedical Signal Processing and Control, 2022
- A novel approach for decomposition of biomedical signals in different applications based on data-adaptive Gaussian average filteringBiomedical Signal Processing and Control, 2022
- The minimal sampling frequency of the photoplethysmogram for accurate pulse rate variability parameters in healthy volunteersBiomedical Signal Processing and Control, 2021
- A Review on Computation Methods Used in Photoplethysmography Signal Analysis for Heart Rate EstimationArchives of Computational Methods in Engineering, 2021
- Detection and Removal of Motion Artifacts in PPG SignalsMobile Networks and Applications, 2019
- Review on Heart-Rate Estimation from Photoplethysmography and Accelerometer Signals During Physical ExerciseJournal of the Indian Institute of Science, 2017
- PhotoplethysmographyBest Practice & Research Clinical Anaesthesiology, 2014