Objective To evaluate the correlation between data collected from the HS-1000 multi-modality brain monitoring device and standard neurological, psychomotor, and neuropsychological diagnostics in the assessment of acute sports-induced concussion.

Design Prospective, open-label, non-randomised study.

Setting Collegiate athletes were recruited at the Vanderbilt Sports Concussion Centre, Nashville, TN.

Participants Sixty-four subjects across concussed (n₁=14) and healthy control (n₂=50) arms were consented.

Interventions and assessment of risk factors Eligible subjects suffering recent concussion and age/gender-matched healthy controls were enrolled into the study. Participants in both groups were monitored for at least 15min per recording with the HS-1000. Concussed subjects were recorded 4 times relative to time of concussion injury: acute/baseline, 48 hr, 1 wk, 1 mo. Healthy control subjects were recorded at 2 time points: baseline, 2 wk.

Outcome measures Standard clinical diagnostics and demographic information were collected from all study participants. As per current clinical standards and their assigned group, concussed subjects received Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT), Modified Balance Assessment Scale (mBESS), and total clinical symptom index scores. MathWorks MATLAB™ (Matrix Laboratory) engineering software was used to interpret signals and calculate sensitivity-specificity as a function of predictive accuracy with clinically confirmed concussion status.

Main results Post-processing of HS-1000 signals identified concussed athletes with a sensitivity-specificity of 86.1% and 91%, respectively.

Conclusions The HS-1000 demonstrated strong predictive accuracy compared with clinical diagnosis. Improved statistical power through greater sampling sizes and the development of a real-time diagnostic algorithm suggests this technology holds promise in the assessment and diagnosis of sports-induced concussion.

Competing interests None.