All Stories

  1. Integrating Stakeholder Perspectives in the Co-Design of Medical Device Software to monitor Parkinson’s Disease Symptoms- A Case-study
  2. How photoplethysmography can be used to detect major depressive disorder among patients with obstructive sleep apnea during sleep
  3. A pilot study for speech assessment to detect the severity of Parkinson’s disease: An ensemble approach
  4. The Effectiveness of Acoustic Voice Quality Index to Identify People With Parkinson’s Disease
  5. On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice
  6. Cross-Corpus Disparity of Parkinson's Voice Datasets Observed on Control Group Distribution
  7. Voice-Based SVM Model Reliability for Identifying Parkinson’s Disease
  8. Convolutional neural network ensemble for Parkinson's disease detection from voice recordings
  9. Parkinson’s Disease Detection Using Smartphone Recorded Phonemes in Real World Conditions
  10. Voice Features of Sustained Phoneme as COVID-19 Biomarker
  11. Voice Analysis for Diagnosis and Monitoring Parkinson’s Disease
  12. Detecting Effect of Levodopa in Parkinson’s Disease Patients Using Sustained Phonemes
  13. EEG coherence changes between right and left motor cortical areas during voluntary muscular contraction
  14. Wavelet analysis of surface electromyography to determine muscle fatigue
  15. Thresholding Wavelet Networks for Signal Classification
  16. Wavelets for QRS detection
  17. Classification of electromyograph for localised muscle fatigue using neural networks
  18. Environmental sound sources classification using neural networks
  19. Classification of hand direction using multi-channel electromyography by neural network
  20. Classifying surface electromyography with thresholding wavelet network
  21. Wavelets for QRS detection