All Stories

  1. Pain intensity estimation via multimodal fusion: Leveraging ternary textures of derivatives in EDA and PPG signals

    Article • Biomedical Signal Processing and Control, February 2026, Elsevier

    Muhammad Umar Khan

  2. Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment

    Article • Computers in Biology and Medicine, June 2025, Elsevier

    Muhammad Umar Khan

  3. A Systematic Review of Multimodal Signal Fusion for Acute Pain Assessment Systems

    Article • ACM Computing Surveys, May 2025, ACM (Association for Computing Machinery)

    Roland Goecke, Muhammad Umar Khan

  4. Bearing faults classification using novel log energy-based empirical mode decomposition and machine Mel-frequency cepstral coefficients

    Article • Digital Signal Processing, January 2025, Elsevier

    Muhammad Umar Khan

  5. Diagnosis of Schizophrenia Using EEG Sensor Data: A Novel Approach with Automated Log Energy-Based Empirical Wavelet Reconstruction and Cepstral Features

    Article • Sensors, October 2024, MDPI AG

    Muhammad Umar Khan

  6. Aerial Vehicle Detection and Classification Through Fusion of Multi-Domain Features of Acoustic Signals

    Article • May 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  7. Intelligent Diagnosis of Gasoline Engine Faults using Acoustic Features

    Article • May 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  8. Multilevel Pain Assessment with Functional Near-Infrared Spectroscopy: Evaluating ΔHBO2 and ΔHHB Measures for Comprehensive Analysis

    Article • Sensors, January 2024, MDPI AG

    Muhammad Umar Khan

  9. Machine learning‐based classification of multiple heart disorders from PCG signals

    Article • Expert Systems, July 2023, Wiley

    Muhammad Umar Khan

  10. "Where does it hurt?": Exploring EDA Signals to Detect and Localise Acute Pain

    Article • July 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  11. Intelligent bearing faults diagnosis featuring Automated Relative Energy based Empirical Mode Decomposition and novel Cepstral Autoregressive features

    Article • Measurement, July 2023, Elsevier

    Muhammad Umar Khan

  12. XPQRS: Expert power quality recognition system for sensitive load applications

    Article • Measurement, July 2023, Elsevier

    Muhammad Umar Khan

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

    Article • Sensors, April 2023, MDPI AG

    Muhammad Umar Khan

  14. Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns

    Article • Biomedical Signal Processing and Control, March 2023, Elsevier

    Muhammad Umar Khan

  15. Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns

    Article • Expert Systems, April 2022, Wiley

    Muhammad Umar Khan

  16. Computer‐aided diagnosis of COVID ‐19 disease from chest x‐ray images integrating deep feature extraction

    Article • Expert Systems, December 2021, Wiley

    Muhammad Umar Khan

  17. A novel embedded system design for the detection and classification of cardiac disorders

    Article • Computational Intelligence, June 2021, Wiley

    Muhammad Umar Khan

  18. A two-stage classification model integrating feature fusion for coronary artery disease detection and classification

    Article • Multimedia Tools and Applications, April 2021, Springer Science + Business Media

    Muhammad Umar Khan

  19. A novel pulse plethysmograph signal analysis method for identification of myocardial infarction, dilated cardiomyopathy, and hypertension

    Article • TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, March 2021, The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS

    Muhammad Umar Khan

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

    Article • Expert Systems, January 2021, Wiley

    Muhammad Umar Khan

  21. Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme

    Article • Sensors, January 2021, MDPI AG

    Muhammad Umar Khan

  22. Marine Mammals Classification using Acoustic Binary Patterns

    Article • Archive of Mechanical Engineering, December 2020, Polish Academy of Sciences Chancellery

    Muhammad Umar Khan

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

    Article • Sensors, July 2020, MDPI AG

    Muhammad Umar Khan

  24. Emotion Recognition System using Pulse Plethysmograph

    Article • March 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  25. Electricity Theft Detection using Empirical Mode Decomposition and K-Nearest Neighbors

    Article • March 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  26. An Automated System towards Diagnosis of Pneumonia using Pulmonary Auscultations

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  27. Biometric Authentication System Based on Electrocardiogram (ECG)

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  28. Detection of Myocardial Infarction using Pulse Plethysmograph Signals

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  29. Electromyography (EMG) Data-Driven Load Classification using Empirical Mode Decomposition and Feature Analysis

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  30. Prediction of Acute Coronary Syndrome Using Pulse Plethysmograph

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  31. Automated Detection and Classification of Gastrointestinal Diseases using surface-EMG Signals

    Article • November 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  32. Detection of Dilated Cardiomyopathy using Pulse Plethysmographic Signal Analysis

    Article • November 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  33. Characterization of Term and Preterm Deliveries using Electrohysterograms Signatures

    Article • October 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  34. ECG-based Biometric Authentication using Empirical Mode Decomposition and Support Vector Machines

    Article • October 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  35. Image Pattem Classification for Plant Disease Identification using Local Tri-directional Features

    Article • October 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  36. Classification of EMG Signals for Assessment of Neuromuscular Disorder using Empirical Mode Decomposition and Logistic Regression

    Article • August 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  37. System Design for Early Fault Diagnosis of Machines using Vibration Features

    Article • August 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan

  38. Automatic Scene Recognition through Acoustic Classification for Behavioral Robotics

    Article • Electronics, April 2019, MDPI AG

    Muhammad Umar Khan

  39. Embedded System Design for Visual Scene Classification

    Article • November 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Muhammad Umar Khan