Ignite Creation Date:
2025-12-25 @ 12:43 AM
Ignite Modification Date:
2025-12-26 @ 1:33 PM
Study NCT ID:
NCT06187467
Status:
RECRUITING
Last Update Posted:
2025-04-11
First Post:
2023-12-04
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Longitudinal Multimodal Profiling of Balance and Gait In Stroke
Sponsor:
Tan Tock Seng Hospital
Organization:
Study Overview
Official Title:
Longitudinal Multimodal Profiling of Balance and Gait In Stroke Using EEG and Lower Limb Sensors: A Feasibility Study.
Status:
RECRUITING
Status Verified Date:
2025-04
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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.
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.
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.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
False
Is an FDA AA801 Violation?: