SeeMe A High-Precision Computer Vision Tool to Detect Subtle Voluntary Movements in Traumatic Brain Injury Patients Validation with Brain Activity Monitoring and Clinical Assessments

What this Trial Is About

Researchers are evaluating the SeeMe platform, an automated computer vision system designed to precisely track tiny movements in patients with Traumatic Brain Injury TBI. This interventional study aims to improve detection of voluntary motor responses that standard clinical exams often miss due to subjective observation limits. SeeMe uses advanced neural networks and synchronized brain recordings to identify early signs of motor recovery and covert awareness in TBI patients, potentially improving diagnosis and treatment planning. The study involves three groups patients with TBI receiving daily auditory commands to evoke subtle facial and hand movements healthy volunteers to establish normal motor response benchmarks and sedated surgical patients to define baseline noise levels. The protocol presents five auditory commands repeatedly with randomized timing, capturing detailed video and brain activity simultaneously. Data analysis uses deep learning models to distinguish true command-following responses from reflexive movements. Participants will undergo daily assessments until hospital discharge, typically within 45 days, including synchronized video and electrophysiological recordings. Researchers will compare SeeMes detection timing against traditional clinical scales to measure earlier identification of voluntary movement. Long-term follow-up at 6 and 12 months will track functional recovery and consciousness levels. The study includes safety oversight with patient advocates and family councils to ensure ethical communication and participant protection throughout the trial.

SeeMe: Using Automated Facial Tracking to Detect Voluntary Behavior in Brain Injury