Clinical Trials Logo

Automation clinical trials

View clinical trials related to Automation.

Filter by:
  • Recruiting  
  • Page 1

NCT ID: NCT06367816 Recruiting - Clinical trials for Respiration, Artificial

Brain Recovery With Automated VEntilation

BRAVE
Start date: April 11, 2024
Phase:
Study type: Observational

Thus far, the closed-loop ventilation mode INTELLiVENT-ASV has been extensively tested in various groups of critically ill patients, and has been shown to be effective and safe in various groups of ventilated patients, including those at risk of acute respiratory distress syndrome (ARDS), patients with ARDS, and patients with chronic obstructive pulmonary disease (COPD). Some of these studies included acute brain injury (ABI) patients, but the effectiveness, efficacy and safety of INTELLiVENT-ASV has never been thoroughly tested in these patients. The current study will investigate the effectiveness in providing both brain- and lung protective ventilation, the safety and the efficacy of a closed-loop ventilation mode (INTELLiVENT-ASV) in acute brain injury patients, using breath-by-breath data.

NCT ID: NCT03893006 Recruiting - Neuroimaging Clinical Trials

Vehicle Automation Impact on Drivers

AUTODRIVE
Start date: October 8, 2019
Phase: N/A
Study type: Interventional

In the context of ever-increasing automation in surface vehicles, automation impact on drivers will be investigated through three complementary research axes undertaken under simulated driving: Axe 1 (Cognitive ergonomics), how automation is impacting driving behaviors and visual explorations? Axe 2 (Experimental psychology), how automation is impacting drivers' mental representations of their own driving abilities? Axe 3 (Neuroimaging), how automation is modifying the car driving neural network? And what are drivers' mental representations neural bases? The project tackle both applied and basic research issues using an original experimental neuro ergonomics approach. AUTODRIVE will bring original data on human-machine cooperation, mental representations, cognitive control and brain processes depending on the characteristics of the automation used over a significant period of time (six weeks) on a large sample (N=120) of experienced and inexperienced drivers.