Use of Multi-Scale Principal Component Analysis for motion artifact reduction of PPG signals-Reference-Cited by-同舟云学术

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Use of Multi-Scale Principal Component Analysis for motion artifact reduction of PPG signals

Published:2011-09 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE Recent Advances in Intelligent Computational Systems
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Author:

Ram M. Raghu,Madhav K. Venu,Krishna E. Hari,Reddy K. Nagarjuna,Reddy K. Ashoka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6059528/6069258/06069348.pdf?arnumber=6069348

Cited by 9 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. Random forest based feature ranking to evaluate the effect of motion artifact on different clinical features of PPG Signal;2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS);2023-02-09

2. Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations;JMIR mHealth and uHealth;2021-04-08

3. Comparison of Video and Radar Contactless Heart Rate Measurements;Communications in Computer and Information Science;2021

4. Motion Artifact Reduction in Wearable Photoplethysmography Based on Multi-Channel Sensors with Multiple Wavelengths;Sensors;2020-03-09

5. MoDTRAP: Improved heart rate tracking and preprocessing of motion-corrupted photoplethysmographic data for personalized healthcare;Biomedical Signal Processing and Control;2020-02

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