All Stories

  1. How photoplethysmography can be used to detect major depressive disorder among patients with obstructive sleep apnea during sleep

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

    Nemuel Daniel Pah

  2. A pilot study for speech assessment to detect the severity of Parkinson’s disease: An ensemble approach

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

    Nemuel Daniel Pah

  3. The Effectiveness of Acoustic Voice Quality Index to Identify People With Parkinson’s Disease

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

    Nemuel Daniel Pah

  4. On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice

    Article • International Journal of Medical Informatics, November 2023, Elsevier

    Nemuel Daniel Pah

  5. Cross-Corpus Disparity of Parkinson's Voice Datasets Observed on Control Group Distribution

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

    Nemuel Daniel Pah

  6. Voice-Based SVM Model Reliability for Identifying Parkinson’s Disease

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

    Nemuel Daniel Pah

  7. Convolutional neural network ensemble for Parkinson's disease detection from voice recordings

    Article • Computers in Biology and Medicine, February 2022, Elsevier

    Nemuel Daniel Pah

  8. Parkinson’s Disease Detection Using Smartphone Recorded Phonemes in Real World Conditions

    Article • IEEE Access, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Nemuel Daniel Pah

  9. Voice Features of Sustained Phoneme as COVID-19 Biomarker

    Article • IEEE Journal of Translational Engineering in Health and Medicine, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Nemuel Daniel Pah

  10. Voice Analysis for Diagnosis and Monitoring Parkinson’s Disease

    Article • August 2021, Springer Science + Business Media

    Nemuel Daniel Pah

  11. Detecting Effect of Levodopa in Parkinson’s Disease Patients Using Sustained Phonemes

    Article • IEEE Journal of Translational Engineering in Health and Medicine, January 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Nemuel Daniel Pah

  12. EEG coherence changes between right and left motor cortical areas during voluntary muscular contraction

    Article • Australasian Physical & Engineering Sciences in Medicine, March 2004, Springer Science + Business Media

    Nemuel Daniel Pah

  13. Wavelet analysis of surface electromyography to determine muscle fatigue

    Article • IEEE Transactions on Neural Systems and Rehabilitation Engineering, December 2003, Institute of Electrical & Electronics Engineers (IEEE)

    Nemuel Daniel Pah

  14. Thresholding Wavelet Networks for Signal Classification

    Article • International Journal of Wavelets Multiresolution and Information Processing, September 2003, World Scientific Pub Co Pte Lt

    Nemuel Daniel Pah

  15. Wavelets for QRS detection

    Article • Australasian Physical & Engineering Sciences in Medicine, December 2001, Springer Science + Business Media

    Nemuel Daniel Pah

  16. Classification of electromyograph for localised muscle fatigue using neural networks

    Article • January 2001, Institute of Electrical & Electronics Engineers (IEEE)

    Nemuel Daniel Pah

  17. Environmental sound sources classification using neural networks

    Article • January 2001, Institute of Electrical & Electronics Engineers (IEEE)

    Nemuel Daniel Pah

  18. Classification of hand direction using multi-channel electromyography by neural network

    Article • January 2001, Institute of Electrical & Electronics Engineers (IEEE)

    Nemuel Daniel Pah

  19. Classifying surface electromyography with thresholding wavelet network

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Nemuel Daniel Pah

  20. Wavelets for QRS detection

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Nemuel Daniel Pah