Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach
ABSTRACT Purpose A debilitating and poorly understood symptom of Parkinson's disease (PD) is freezing of gait (FoG), which increases the risk of falling. Clinical evaluations of FoG, relying on patients’ subjective reports and manual examinations by specialists, are unreliable, and most detecti...
Saved in:
Main Authors: | Sara Abbasi, Khosro Rezaee |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2025-01-01
|
Series: | Brain and Behavior |
Subjects: | |
Online Access: | https://doi.org/10.1002/brb3.70206 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning
by: Maryam Talebvand, et al.
Published: (2023-09-01) -
Residual Life Prediction of SA-CNN-BILSTM Aero-Engine Based on a Multichannel Hybrid Network
by: Yonghao He, et al.
Published: (2025-01-01) -
Biomechanics Parameters of Gait Analysis to Characterize Parkinson’s Disease: A Scoping Review
by: Michela Russo, et al.
Published: (2025-01-01) -
Performance of a Two-Week Rehabilitation Improves Motor Function in Inpatients with Progressive Supranuclear Palsy: A Pre–Post Study
by: Naomi Matsuda, et al.
Published: (2025-01-01) -
Aspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network
by: Guixian Xu, et al.
Published: (2025-01-01)