Tan Tock Seng Hospital
Singapore
Location status: Recruiting
NCT Number: NCT06187467
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.
Interested in participating?
Request Info21 year–85 year
All sexes
Observational
Singapore
Location status: Recruiting
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Assessments and questionnaires to quantify cortical and motor activities using portable EEG and lower limb sensors during dynamic balance and gait activities.
Time frame: Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
To record EEG and EOG data from 64-Ch ActiCap EEG cap and electrode
Time frame: Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
7 sensors to measure 2-axis joint angles at bilateral Hip, Knee and Ankle
Time frame: Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
Change in Fugl Meyer Motor Assessment score in the affected arm, minimum: 0, maximum: 66 with higher scores indicating greater levels of mobility function
Time frame: Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
To assess functional balance
Time frame: Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
Assess complex sensory system to assist in determining which sensory system the individual relies upon (visual, somatosensory, vestibul)
Time frame: Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
To assess walking speed over a short distance
Time frame: Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
Determine the functional exercise capacity
Contact information is provided by the study sponsor or research team.
Tan Tock Seng Hospital
Other
Longitudinal Multimodal Profiling of Balance and Gait In Stroke Using EEG and Lower Limb Sensors: A Feasibility Study.
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT06615973
Brain Disease, Brain Diseases
Bethesda, Maryland, United States
View Trial DetailsNCT05378035
Arrhythmias, Cardiac, Arterial Thromboembolism
Hong Kong
View Trial DetailsNCT03821129
Brain Diseases, Cardiovascular Abnormalities
Tucson, Arizona, United States
View Trial DetailsNCT07737431
Brain Diseases, Cardiovascular Diseases
Hung Hom, Kowloon, Hong Kong
View Trial Details