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

Podobne zapisy

• A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer
  od: Aich, Satyabrata, i wsp.
  Wydane: (2018)
• A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson’s Disease Using Wearable Based Gait Signals
  od: Satyabrata Aich, i wsp.
  Wydane: (2020-06-01)
• A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson’s Disease Using Wearable Based Gait Signals
  od: Aich, Satyabrata, i wsp.
  Wydane: (2020)
• A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable Devices
  od: Chakraborty, Sabyasachi, i wsp.
  Wydane: (2019)
• Detection of Parkinson’s Disease from 3T T1 Weighted MRI Scans Using 3D Convolutional Neural Network
  od: Sabyasachi Chakraborty, i wsp.
  Wydane: (2020-06-01)