Stroke
Conditions
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.
Interventions
BEHAVIORALaugmented reality
The participants will be wearing an EEG cap and Augmented Reality headset (AR-based EEG-guided system) for 10 sessions with a licensed occupational therapist, provided in addition to usual rehabilitation care (either in inpatient rehabilitation or at home). These sessions will focus on activities of daily living that the participants want to practice. All sessions will last approximately 1 hour. These sessions will be scheduled around the existing therapy schedule to cause the least amount of interference with planned clinical activities.
Sponsors
University of Pittsburgh
Northeastern University
NSF
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy; indicated by percent agreement between participant report and EEG-based assessment of neglect | 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 | week 4 | number of consecutive sessions attaining Pearson correlation coefficient r greater than.10 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Technology Satisfaction; indicated by a mean score of 3 or higher on the Quebec User Evaluation of Satisfaction with Assistive Technology | week 4 | number of participants attaining greater than or equal to 90 percentage satisfaction; satisfaction is rated on 12 items with a 5-point likert scale, 5 indicating very high satisfaction; items are summed with total a total score of 60 indicating very high satisfaction; |
| Program Satisfaction; indicated by mean score of 3 or greater on the Client Satisfaction Questionnaire | week 4 | number of participants attaining greater than or equal to 90 percentage satisfaction; satisfaction is rated on 8 items with a 4-point likert scale, 4 indicating very high satisfaction; items are summed with total a total score of 32 indicating very high satisfaction; |
Countries
United States
Contacts
CONTACTMurat Akcakaya, PhD
PRINCIPAL_INVESTIGATORMurat Akcakaya, PhD
University of Pittsburgh
Outcome results
None listed