ClinicalTrials.gov
public full text
Public Domain
Brain-Computer Interface Communication Device for People With ALS
aacamyotrophic-lateral-sclerosisassistive-technologyaugmented-realitybrain-computer-interfaceelectroencephalographyeye-tracking
This study compares a wearable brain-computer interface (BCI) communication device with the eye-tracking communication devices that people with ALS already use. As ALS progresses, speech is lost and many people come to rely on an eye-tracking speech generating device. Eye-tracking performance can decline as oculomotor control is affected, and some people reach a point where it no longer works reliably for them. The Cognixion ONE device adds a brain-computer interface input, which does not depend on eye movement, alongside an AI-assisted communication application. Thirty adults with ALS who currently use a Tobii Dynavox or Smartbox eye-tracking device will take part. Each participant uses three communication options at home over a 12-week period: their own eye-tracking device, the Cognixion ONE device with a head-worn augmented-reality display, and the Cognixion ONE device with a screen-based display. For some sessions the option is assigned; for others the participant chooses. The main measure is how much time participants voluntarily choose to spend using each option. That choice is treated as the clearest signal of which option genuinely works better for them. The study also measures communication speed and accuracy, usability, workload, quality of life, and caregiver burden. The Cognixion ONE device is an investigational research device. It is not approved or cleared by the U.S. Food and Drug Administration for any medical use.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Brain-computer Interface Commercial Readiness#1095507
- Non-Invasive Brain-Computer Interface for Virtual Object Control#897082
- Assessing Perceptual Effects of Interactive Tasks#917896
- Investigation on the Cortical Communication System#888258
- Table 1_Optimal sensor set for MEG-based spontaneous and intended speech decoding toward practical communication.xlsx#1052875
Record · ID 1463175
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive