A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer

Lignende værker

• Peering through the FoG: Visual manipulations shed light on freezing of gait
  af: Cohen, Rajal G., et al.
  Udgivet: (2012)
• A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson’s Disease Using Wearable Based Gait Signals
  af: Satyabrata Aich, et al.
  Udgivet: (2020-06-01)
• A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson’s Disease Using Wearable Based Gait Signals
  af: Aich, Satyabrata, et al.
  Udgivet: (2020)
• Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's Patients
  af: Aich, Satyabrata, et al.
  Udgivet: (2020)
• Efficiently Identifying Non-FoG, Pre-FoG, Pre-FoG Transition, and FoG in Parkinson’s Disease Patients Using Window Acceleration and Spline Function Features
  af: Yi-Ting Hwang, et al.
  Udgivet: (2025-01-01)