Heart rate variability estimation in photoplethysmography signals using Bayesian learning approach-Reference-Cited by-同舟云学术

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Heart rate variability estimation in photoplethysmography signals using Bayesian learning approach

Published:2016-06 Issue:2 Volume:3 Page:136-142
ISSN:2053-3713
Container-title:Healthcare Technology Letters
language:en
Short-container-title:Healthcare Technology Letters

Author:

Alqaraawi Ahmed¹,Alwosheel Ahmad¹,Alasaad Amr¹

Affiliation:

1. Center of Excellence in Telecommunication Applications King Abdulaziz City for Science and Technology Riyadh Saudi Arabia

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl.2016.0006

Reference12 articles.

1. Removal of Respiratory Influences From Heart Rate Variability in Stress Monitoring

2. Wearable Photoplethysmographic Sensors—Past and Present

3. A Motion-Tolerant Adaptive Algorithm for Wearable Photoplethysmographic Biosensors

4. A Novel Approach for Motion Artifact Reduction in PPG Signals Based on AS-LMS Adaptive Filter

5. Photoplethysmography-Based Heart Rate Monitoring in Physical Activities via Joint Sparse Spectrum Reconstruction

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1. Real-time intelligent on-device monitoring of heart rate variability with PPG sensors;Journal of Systems Architecture;2024-09

2. Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data;Journal of Biomedical Informatics;2024-08

3. Obstructive sleep apnea diagnosis and beyond using portable monitors;Sleep Medicine;2024-01

4. Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review;IEEE Reviews in Biomedical Engineering;2024

5. Comparative Analysis of Photoplethysmography Signal Quality from Right and Left Index Fingers;Traitement du Signal;2023-10-30

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