A Hybrid Compressive Sensing and Classification Approach for Dynamic Storage Management of Vital Biomedical Signals-Reference-Cited by-同舟云学术

A Hybrid Compressive Sensing and Classification Approach for Dynamic Storage Management of Vital Biomedical Signals

Published:2023 Issue: Volume:11 Page:108126-108151
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Emara Heba M.¹^ORCID,El-Shafai Walid²^ORCID,Algarni Abeer D.³,Soliman Naglaa F.³^ORCID,El-Samie Fathi E. Abd³

Affiliation:

1. Department of Electronics and Communications Engineering, Ministry of Higher Education, 6th of October, Pyramids High Institute of Electronic Engineering, Giza, Egypt

2. Computer Science Department, Security Engineering Laboratory, Prince Sultan University, Riyadh, Saudi Arabia

3. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Deputyship for Research & Innovation, Ministry of Education, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10255551.pdf?arnumber=10255551

Reference86 articles.

1. Blockchain-Based Internet-of-Things for Secure Transmission of Medical Data in Rural Areas

2. Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank Optimization

3. Authentication Schemes for Healthcare Applications Using Wireless Medical Sensor Networks: A Survey

4. Compressive Sensing-Based Continuous EEG Monitoring: Seizure Detection Performance Comparison of Different Classifiers

5. Reducing ECG Artifact From Left Ventricular Assist Device Electromagnetic Interference

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