Using Gaze to Enable Head-neck Movements in Patients With Head Drop
Key facts
- Where
- Salt Lake City, United StatesSee the site
Where in United States
- Utah Wearable Robotics Laboratory, Dept. of Mechanical EngineeringSalt Lake City, United StatesTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- University of Utah
- Trial code
- NCT07836751
- Record updated
- 23 September 2026
- Original description
The investigators will develop and evaluate controllers for a powered neck exoskeleton in patients with amyotrophic lateral sclerosis (ALS) to understand how to allow adequate personalization and function and achieves satisfaction from users. In this small device feasibility study, participants will be enrolled from the ALS clinic at the University of Utah Hospital. After obtaining written consent, participants will perform tasks while using the neck exoskeleton with the controllers. Tasks include computerized tracking tasks and simulated activities of daily living. Breaks will be added between tasks to avoid fatigue. Head-neck kinematics, gaze data, controller preferences, and survey responses will be recorded.Read full original descriptionShow less
Using Gaze to Enable Personalized Head-neck Movements Through a Powered Neck Exoskeleton
The investigators will develop and evaluate controllers for a powered neck exoskeleton in patients with amyotrophic lateral sclerosis (ALS) to understand how to allow adequate personalization and function and achieves satisfaction from users. In this small device feasibility study, participants will be enrolled from the ALS clinic at the University of Utah Hospital. After obtaining written consent, participants will perform tasks while using the neck exoskeleton with the controllers. Tasks include computerized tracking tasks and simulated activities of daily living. Breaks will be added between tasks to avoid fatigue. Head-neck kinematics, gaze data, controller preferences, and survey responses will be recorded.
Inclusion: neck weakness and age over 18.
Exclusion: Any cognitive deficits or visual impairments that would prevent from safely using the device and completing the tasks and poor device fitting.