Fusion of EEG and EMG signals for detecting pre-movement intention of sitting and standing in healthy individuals and patients with spinal cord injury.

ABSTRACT:

Introduction

Rehabilitation devices assist individuals with movement disorders by supporting daily activities and facilitating effective rehabilitation training. Accurate and early motor intention detection is vital for real-time device applications. However, traditional methods of motor intention detection often rely on single-mode signals, such as EEG or EMG alone, which can be limited by low signal quality and reduced stability. This study proposes a multimodal fusion method based on EEG-EMG functional connectivity to detect sitting and standing intentions before movement execution, enabling timely intervention and reducing latency in rehabilitation devices.

Methods

Eight healthy subjects and five spinal cord injury (SCI) patients performed cue-based sit-to-stand and stan

SUBMITTER: Li C 

PROVIDER: S-EPMC11802573 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature