Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals-Reference-Cited by-同舟云学术

Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals

Published:2021-01-13 Issue:3 Volume:38 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Aziz Sumair¹²^ORCID,Awais Muhammad³,Khan Muhammad Umar¹^ORCID,Iqtidar Khushbakht⁴²,Qamar Usman⁴²

Affiliation:

1. Department of Electronics Engineering University of Engineering and Technology Taxila Taxila Pakistan

2. Knowledge and Data Science Research Centre College of Electrical and Mechanical Engineering, National University of Sciences and Technology Islamabad Pakistan

3. Department of Electrical and Computer Engineering COMSATS University Islamabad – Wah Campus Wah Cantt Pakistan

4. Department of Computer and Software Engineering College of Electrical and Mechanical Engineering, National University of Sciences and Technology Islamabad Pakistan

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12664

Reference56 articles.

1. Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study

2. Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network

3. Fall detection through acoustic Local Ternary Patterns

4. A multiple signal classification approach for photoplethysmography signals in healthy and athletic subjects

5. Automatic Scene Recognition through Acoustic Classification for Behavioral Robotics

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