Muhammad Umar Khan

Orcid: 0000-0002-0321-6566

According to our database1, Muhammad Umar Khan authored at least 25 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Bearing faults classification using novel log energy-based empirical mode decomposition and machine Mel-frequency cepstral coefficients.
Digit. Signal Process., 2025

2024
Multilevel Pain Assessment with Functional Near-Infrared Spectroscopy: Evaluating ΔHBO2 and ΔHHB Measures for Comprehensive Analysis.
Sensors, January, 2024

Singly-Fed Large Frequency Ratio Composite Dielectric Resonator Antenna for sub-6 GHz and mm-Wave 5G Applications.
IEEE Access, 2024

Detecting Lung Infections with Empirical Mode Decomposition and Neural Networks.
Proceedings of the 5th International Conference on Advancements in Computational Sciences, 2024

Pattern Analysis Framework for Detection of Cardiac Disorders using VCG Signal Analysis.
Proceedings of the 5th International Conference on Advancements in Computational Sciences, 2024

2023
Machine learning-based classification of multiple heart disorders from PCG signals.
Expert Syst. J. Knowl. Eng., December, 2023

Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns.
Biomed. Signal Process. Control., March, 2023

Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals.
Sensors, 2023

"Where does it hurt?": Exploring EDA Signals to Detect and Localise Acute Pain.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
A two-stage classification model integrating feature fusion for coronary artery disease detection and classification.
Multim. Tools Appl., 2022

Computer-aided diagnosis of COVID-19 disease from chest X-ray images integrating deep feature extraction.
Expert Syst. J. Knowl. Eng., 2022

Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns.
Expert Syst. J. Knowl. Eng., 2022

EHG Signal Analysis for Prediction of Term and Preterm using Variational Mode Decomposition and Artificial Neural Networks.
Proceedings of the International Conference on Frontiers of Information Technology, 2022

2021
Field Decorrelation and Isolation Improvement in an MIMO Antenna Using an All-Dielectric Device Based on Transformation Electromagnetics.
Sensors, 2021

Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme.
Sensors, 2021

Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals.
Expert Syst. J. Knowl. Eng., 2021

A novel pulse plethysmograph signal analysis method for identification of myocardial infarction, dilated cardiomyopathy, and hypertension.
Turkish J. Electr. Eng. Comput. Sci., 2021

A novel embedded system design for the detection and classification of cardiac disorders.
Comput. Intell., 2021

Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns.
Comput. Biol. Medicine, 2021

2020
Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features.
Sensors, 2020

A New Sampling Approach for Beam Shaping Through Superposition of Taylor Distributed Composing Functions.
Proceedings of the 2020 International Conference on UK-China Emerging Technologies, 2020

2019
Small-Sized UWB MIMO Antenna With Band Rejection Capability.
IEEE Access, 2019

Frequency Selective Light Scattering and Absorption for Maximum Energy Harvesting.
Proceedings of the 31st International Conference on Microelectronics, 2019

Detection of Myocardial Infarction using Pulse Plethysmograph Signals.
Proceedings of the International Conference on Frontiers of Information Technology, 2019

Electromyography (EMG) Data-Driven Load Classification using Empirical Mode Decomposition and Feature Analysis.
Proceedings of the International Conference on Frontiers of Information Technology, 2019


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