An Augmented Reality Based System for Neglect Detection, Assessment, and Rehabilitation
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Stroke
- Sponsor
- University of Pittsburgh
- Enrollment
- 10
- Locations
- 2
- Primary Endpoint
- Accuracy; indicated by percent agreement between participant report and EEG-based assessment of neglect
- Status
- Recruiting
- Last Updated
- 9 months ago
Overview
Brief Summary
The aim of this phase is to examine the feasibility and acceptability of the Augmented Reality (AR)-based and electroencephalography (EEG)-based neglect detection and rehabilitation tool.
Investigators
Murat Akcakaya
Assistant Professor, Electrical and Computer Engineering
University of Pittsburgh
Eligibility Criteria
Inclusion Criteria
- •ages18 and older
- •acute stroke
- •admitted to inpatient rehabilitation
- •presence of neglect (Behavioral Inattention Test total score \<129, or scoring below pre-defined cutoff score in at least one of the six subtests)
- •more than 10/% missed targets on the Augmented Reality Screening Test
- •intact vibration (positive test on Vibration Sensation Test)
- •intact auditory function (positive test on Auditory Sensation Test)
- •English speaking
Exclusion Criteria
- •inability to follow one-step directions at least 80% of the time
- •current diagnosis of dementia, Parkinson's disease, multiple sclerosis, or space-occupying tumor
- •metal in the head that causes interference with the EEG system
- •self-report of previous positive photic stimulation test
Outcomes
Primary Outcomes
Accuracy; indicated by percent agreement between participant report and EEG-based assessment of neglect
Time Frame: week 4
number of sessions attaining greater than 70 percentage agreement between targets identified by the participant and targets identified by EEG; participants view an augmented reality screen with randomly appearing targets in the field of view; when a target is viewed, the participant presses a keyboard key; immediately after, targets randomly appear on the augmented reality screen while the participant's brain activity is recorded by EEG; EEG detects viewed and neglected targets based on brain signals;
Reliability; indicated by correlation coefficient between two consecutive sessions of EEG recording
Time Frame: week 4
number of consecutive sessions attaining Pearson correlation coefficient r greater than.10
Secondary Outcomes
- Program Satisfaction; indicated by mean score of 3 or greater on the Client Satisfaction Questionnaire(week 4)
- Technology Satisfaction; indicated by a mean score of 3 or higher on the Quebec User Evaluation of Satisfaction with Assistive Technology(week 4)