In vivo evaluation of wearable head impact sensors

TL;DR

This study introduces an in vivo high-speed video method to evaluate wearable head impact sensors, revealing that mouthguard sensors have better skull coupling and more accurate measurements than skin patches or skull caps during soccer impacts.

Contribution

The paper presents a novel in vivo evaluation approach for head impact sensors, providing insights into sensor coupling and measurement accuracy during real-world impacts.

Findings

Mouthguard sensors closely follow skull motion with displacement <1mm.

Skin patch and skull cap sensors show significant displacement, up to 13mm.

Both skin patch and skull cap over-predict acceleration magnitudes due to out-of-plane motion.

Abstract

Inertial sensors are commonly used to measure human head motion. Some sensors have been validated with dummy or cadaver experiments, but methods to evaluate sensors in vivo are lacking. Here we present an in vivo method using high speed video to evaluate teeth-mounted (mouthguard), soft tissue-mounted (skin patch), and headgear-mounted (skull cap) sensors during 6-13g sagittal soccer head impacts. Sensor coupling to the skull is quantified by displacement from an ear-canal reference. Mouthguard displacements were within video measurement error (<1mm), while the skin patch and skull cap displaced up to 4mm and 13mm from the ear-canal reference, respectively. We used the mouthguard, which had the least displacement from skull, as the reference to assess 6-degree-of-freedom skin patch and skull cap measurements. Linear and rotational acceleration magnitudes were over-predicted by both the skin patch (with 120% NRMS error for a_mag, 290% for alpha_mag) and the skull cap (320% NRMS error for a_mag, 500% for alpha_mag). Such over-predictions were largely due to out-of-plane motion. To model sensor error, we found that in-plane acceleration peaks from the skin patch in the anterior-posterior direction could be modeled by an underdamped viscoelastic system. In summary, the mouthguard showed tighter skull coupling in vivo than the other sensors. Furthermore, the in vivo methods presented are valuable for investigating skull acceleration sensor technologies.