SincPD: An Explainable Method based on Sinc Filters to Diagnose Parkinson's Disease Severity by Gait Cycle Analysis

Documents similaires

• Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
  par: Rashnu, Alireza, et autres
  Publié: (2024)
• PD-ADSV: An Automated Diagnosing System Using Voice Signals and Hard Voting Ensemble Method for Parkinson's Disease
  par: Ghaheri, Paria, et autres
  Publié: (2023)
• SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
  par: Pollastro, Andrea, et autres
  Publié: (2024)
• An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
  par: Saadatinia, Mehrshad, et autres
  Publié: (2023)
• Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning
  par: Soumma, Shovito Barua, et autres
  Publié: (2024)