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The goal of this study is refine the usability of a BCI capable communication platform.
The study will take place in the United States area and will enroll up to 10 participants with late stage ALS, traumatic brain injury (TBI) or spinal cord injury (SCI) that have assistive communication and computer control needs. Each subject will receive an integrated Cognixion + Apple Vision Pro device that includes an augmented reality brain computer interface and associated communication software. The study duration is 3-4 months for each participant.
The key questions that will be addressed in this study are:
Key measures include:
ITR - information transfer rate SUS - system usability scale
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Usability Study | Experimental | Participants will utilize the Cognixion + Apple Vision Pro device and associated communication and computer control software for practice and communication tasks as prescribed by the study administrator. Various modalities, including pure BCI and ET-BCI will be available to users. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Cognixion + Apple Vision Pro | Device | An Apple Vision Pro device, integrated with Cognixion's brain sensing band and Assisted Reality software. The integrated device enables users to construct AI assisted communication and computer control commands using a combination of attention, eye gaze and head pose. |
| Measure | Description | Time Frame |
|---|---|---|
| System Usabilty Score | A score ranging from 0 to 100 that captures the usability the device and enables it to be compared with other human machine interface devices. This is an intrisic property of the device interface (hardware/software) and is not a healh outcome measure. | 3-4 months |
| Information Transfer Rate (ITR) | The rate, in bits per minute, of information transfer for each of the device modalities. ITR is measured using a standardized selection procedure and is a measure the captures how efficient the device interface is. It is an essential measure of device throughput and is not related to any health outcome. | 3-4 months |
| Measure | Description | Time Frame |
|---|---|---|
| Phrases per Minute | PPM is the number of complete phrases or compute rcommands that the user can construct in 1 minute. This is a usage metric that captures the efficiency of the device in predicting user utterances and does not relate to any health outcome. | 3-4 months from training |
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Inclusion criteria:
Exclusion criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Christopher Ullrich, M.Sc. | Contact | 18053200774 | chris@cognixion.com | |
| Cole Heiner, B.Sc. | Contact | 214-907-6399 | cole@cognixion.com |
| Name | Affiliation | Role |
|---|---|---|
| Christopher J Ullrich | Cognixion | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cognixion HQ | Santa Barbara | California | 93101-1665 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29950436 | Background | Wolpaw JR, Bedlack RS, Reda DJ, Ringer RJ, Banks PG, Vaughan TM, Heckman SM, McCane LM, Carmack CS, Winden S, McFarland DJ, Sellers EW, Shi H, Paine T, Higgins DS, Lo AC, Patwa HS, Hill KJ, Huang GD, Ruff RL. Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis. Neurology. 2018 Jul 17;91(3):e258-e267. doi: 10.1212/WNL.0000000000005812. Epub 2018 Jun 27. | |
| 29676287 |
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Usability insights related to this use case on this type of device will be shared with other accessibility and BCI researchers at conference events and through publications. This data will be anonymized prior to sharing.
Clinical study report will be shared upon request once complete. Estimated to occur no sooner than April 1 2026.
Anonymized clinical study report will be made available to clinical researchers, upon request and validation.
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| Type | Date | Date Unknown |
|---|---|---|
| Release | May 21, 2026 | |
| Reset | Jun 18, 2026 |
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|
| Background |
| Kellmeyer P, Grosse-Wentrup M, Schulze-Bonhage A, Ziemann U, Ball T. Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis-implications for brain-computer interfacing. J Neural Eng. 2018 Aug;15(4):041003. doi: 10.1088/1741-2552/aabfa5. Epub 2018 Apr 20. |
| Background | Lewis, J. R. (2018). The System Usability Scale: Past, Present, and Future. International Journal of Human-Computer Interaction, 34(7), 577-590 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| May 21, 2026 | Jun 18, 2026 | |||
| Jul 7, 2026 |
| ID | Term |
|---|---|
| D000690 | Amyotrophic Lateral Sclerosis |
| D000070642 | Brain Injuries, Traumatic |
| D013119 | Spinal Cord Injuries |
| D020521 | Stroke |
| ID | Term |
|---|---|
| D013118 | Spinal Cord Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D016472 | Motor Neuron Disease |
| D019636 | Neurodegenerative Diseases |
| D057177 | TDP-43 Proteinopathies |
| D009468 | Neuromuscular Diseases |
| D057165 | Proteostasis Deficiencies |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D001930 | Brain Injuries |
| D001927 | Brain Diseases |
| D006259 | Craniocerebral Trauma |
| D020196 | Trauma, Nervous System |
| D014947 | Wounds and Injuries |
| D002561 | Cerebrovascular Disorders |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
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