Compressive Sensing-Based Automatic PPG Signal Quality Assessment Using CNN for Energy-Constrained Medical Devices-Reference-Cited by-同舟云学术

Compressive Sensing-Based Automatic PPG Signal Quality Assessment Using CNN for Energy-Constrained Medical Devices

Published:2023-06-29 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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Author:

Sivanjaneyulu Yalagala¹,Boppu Srinivas¹,Manikandan M. Sabarimalai²

Affiliation:

1. School of Electrical Sciences Indian Institute of Technology Bhubaneswar,Bhubaneswar,Odisha,INDIA,752050

2. Indian Institute of Technology Palakkad,Department of Electrical Engineering,Palakkad,Kerala,INDIA,678623

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10193876/10193857/10193939.pdf?arnumber=10193939

Reference29 articles.

1. Deep learning based atrial fibrillation detection using wearable photoplethysmography sensor

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3. A LSTM-based Real-time Signal Quality Assessment for Photoplethysmogram and Remote Photoplethysmogram;gao;Proc Conf Computer Vision and Pattern Recognition,0

4. A Real-Time PPG Quality Assessment Approach for Healthcare Internet-of-Things;kasaeyan;Procedia Computer Science,0

5. The Application of Deep Learning Algorithms for PPG Signal Processing and Classification;filipa;Computers,2021

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2. Lightweight Photoplethysmogram Waveform Change Detection for Resource-Constrained IoT Enabled Remote Health Monitoring Devices;2023 11th International Conference on Control, Mechatronics and Automation (ICCMA);2023-11-01