Signal to Image Conversion and Convolutional Neural Networks for Physiological Signal Processing: A Review-Reference-Cited by-同舟云学术

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Signal to Image Conversion and Convolutional Neural Networks for Physiological Signal Processing: A Review

Published:2024 Issue: Volume:12 Page:66726-66764
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ch Vidyasagar K. E.¹^ORCID,Revanth Kumar K.²^ORCID,Anantha Sai G. N. K.²^ORCID,Ruchita Munagala²^ORCID,Saikia Manob Jyoti¹^ORCID

Affiliation:

1. Biomedical Sensors and Systems Laboratory, University of North Florida, Jacksonville, FL, USA

2. Department of Biomedical Engineering, University College of Engineering, Osmania University, Hyderabad, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10526275.pdf?arnumber=10526275

Reference155 articles.

1. Multichannel Two-Dimensional Convolutional Neural Network Based on Interactive Features and Group Strategy for Chinese Sentiment Analysis

2. Learning deep physiological models of affect

3. A Critical Review of Feature Extraction Techniques for ECG Signal Analysis

4. Highly sensitive index of sympathetic activity based on time-frequency spectral analysis of electrodermal activity

5. Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network

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. Acoustic Signal-Based Defect Identification for Directed Energy Deposition-Arc Using Wavelet Time–Frequency Diagrams;Sensors;2024-07-07

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