Design of a Realtime Photoplethysmogram Signal Quality Checker for Wearables and Edge Computing-Reference-Cited by-同舟云学术

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Design of a Realtime Photoplethysmogram Signal Quality Checker for Wearables and Edge Computing

Published:2022-07-11 Issue: Volume: Page:
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Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Banerjee Tanushree¹,Gavas Rahul Dasharath¹,BS Mithun¹,Karmakar Somnath¹,Ramakrishnan Ramesh Kumar¹,Pal Arpan¹

Affiliation:

1. TCS Research,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871741.pdf?arnumber=9871741

Reference28 articles.

1. Optimal Signal Quality Index for Photoplethysmogram Signals

2. A Supervised Approach to Robust Photoplethysmography Quality Assessment

3. Motion Artifact Detection in PPG Signals Based on Gramian Angular Field and 2-D-CNN

4. Recurrence Plot and Machine Learning for Signal Quality Assessment of Photoplethysmogram in Mobile Environment

5. Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Schrödinger spectrum and slim CNN architecture-based signal quality estimation for Photoplethysmogram signals;Biomedical Signal Processing and Control;2024-08

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