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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06187467
Other study ID # DSRB 2023/00805
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date January 2024
Est. completion date October 2024

Study information

Verified date December 2023
Source Tan Tock Seng Hospital
Contact Ummi Artika
Phone 68894580
Email ummi_artika_marwi@ttsh.com.sg
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 30
Est. completion date October 2024
Est. primary completion date October 2024
Accepts healthy volunteers No
Gender All
Age group 21 Years to 85 Years
Eligibility Inclusion Criteria: - First-ever clinical stroke (ischaemic or haemorrhagic) confirmed by admitting doctors brain imaging - Age 21 to 85 years - At least = 30 days post-stroke - Gait impairments related to stroke - Functional ambulation category -6 levels (Mehrholz et al, 2007): FAC = 4, i.e. able to ambulate independently on level surface but requires supervision to negotiate (e.g. stairs, inclines, non-level surfaces). - Montreal Cognitive Assessment (MoCA) score > 21 (Nasreddine et al., 2005) - Able to understand study instructions and requirements Exclusion Criteria: - Non-stroke related causes of gait impairment - Medical conditions incompatible with research participation: uncontrolled medical illnesses (hypertension or diabetes, ischaemic heart disease, congestive heart failure, bronchial asthma, severe /untreated depression, agitation, end stage renal/liver/heart/lung failure, dialysis, unresolved cancers e.g.,), active seizures within 3 months - Anticipated life expectancy of < 6 months - On subcutaneous or oral anti-coagulation - Local factors potentially worsened by gait training: joint and muscle pains - Lower limb pain VAS >4/10, active lower limb fractures or arthritis, fixed leg contractures, severe peripheral vascular disease, organomegaly or aortic aneurysms - Active unhealed skin wounds or inflammatory skin conditions over trunk and lower limbs, - Severe visual impairment or visual neglect affecting navigation - Known allergy to EEG gel (Recoverix) - Presence of craniectomy skull defect - Resident of nursing home or overseas country which may compromise attendance at research site - Pregnant or lactating females

Study Design


Related Conditions & MeSH terms


Intervention

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.

Locations

Country Name City State
Singapore Tan Tock Seng Hospital Singapore

Sponsors (2)

Lead Sponsor Collaborator
Tan Tock Seng Hospital Nanyang Technological University

Country where clinical trial is conducted

Singapore, 

Outcome

Type Measure Description Time frame Safety issue
Primary EEG Activities To record EEG and EOG data from 64-Ch ActiCap EEG cap and electrode Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
Primary Goniometers 7 sensors to measure 2-axis joint angles at bilateral Hip, Knee and Ankle Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
Secondary Fugl Meyer Assessment for Lower Limbs Change in Fugl Meyer Motor Assessment score in the affected arm, minimum: 0, maximum: 66 with higher scores indicating greater levels of mobility function Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
Secondary Berg Balance Scale To assess functional balance Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
Secondary Modified Clinical Test for Sensory Interaction in Balance Assess complex sensory system to assist in determining which sensory system the individual relies upon (visual, somatosensory, vestibul) Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
Secondary 10-metre Walk Test To assess walking speed over a short distance Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
Secondary 6-minute Walk Test Determine the functional exercise capacity Week 0 (baseline), 4 (1st follow-up assessment), 8 (last follow-up assessment)
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