NCT06187467

Longitudinal Multimodal Profiling of Balance and Gait In Stroke

Longitudinal Multimodal Profiling of Balance and Gait In Stroke Using EEG and Lower Limb Sensors: A Feasibility Study.

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 30 (estimated)
• Sponsor: Tan Tock Seng Hospital · Academic / Other
• Sex: All
• Age: 21 Years – 85 Years
• Healthy volunteers: Not accepted

Summary

Balance and gait recovery is a critical aspect of post-stroke motor rehabilitation. Researchers have effectively utilized EEG to investigate different aspects of lower limb motor control, however there are several technical challenges in the existing brain computer interface (BCI) motor profiling. The study aims to test the EEG-BCI system to see if it's effective in understanding the balance and walking patterns of post-stroke populations.

Detailed description

Brain Computer Interface represent a groundbreaking field at the crossroads of neuroscience and engineering, serving as a direct communication link between the human brain and computer system. Despite advancements in BCI technology, the electrocortical oscillations during human walking remain relatively unexplored, providing an opportunity for pioneering investigations. The research highlights the feasibility of using EEG to decode neural patterns associated with various functions and aims to contribute to existing knowledge by using advanced EEG-based techniques to predict balance and gait patterns with the ultimate goal of tailoring rehabilitation approaches to individual patient needs.

Conditions

• Stroke

Interventions

Type	Name	Description
OTHER	Clinical and technological-aided assessments and questionnaires	Assessments and questionnaires to quantify cortical and motor activities using portable EEG and lower limb sensors during dynamic balance and gait activities.

Timeline

• Start date: 2024-07-01
• Primary completion: 2025-10-01
• Completion: 2025-10-01
• First posted: 2024-01-02
• Last updated: 2025-04-11

Locations

1 site across 1 country: Singapore