On-field Head Acceleration Exposure Measurements Using Instrumented Mouthguards: Multi-stage Screening to Optimize Data Quality

IF 3 2区 医学 Q3 ENGINEERING, BIOMEDICAL Annals of Biomedical Engineering Pub Date : 2024-08-03 DOI:10.1007/s10439-024-03592-z
Adam C. Clansey, Daniel Bondi, Rebecca Kenny, David Luke, Zaryan Masood, Yuan Gao, Marko Elez, Songbai Ji, Alexander Rauscher, Paul van Donkelaar, Lyndia C. Wu
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Abstract

Instrumented mouthguards (iMGs) are widely applied to measure head acceleration event (HAE) exposure in sports. Despite laboratory validation, on-field factors including potential sensor skull-decoupling and spurious recordings limit data accuracy. Video analysis can provide complementary information to verify sensor data but lacks quantitative kinematics reference information and suffers from subjectivity. The purpose of this study was to develop a rigorous multi-stage screening procedure, combining iMG and video as independent measurements, aimed at improving the quality of on-field HAE exposure measurements. We deployed iMGs and gathered video recordings in a complete university men’s ice hockey varsity season. We developed a four-stage process that involves independent video and sensor data collection (Stage I), general screening (Stage II), cross verification (Stage III), and coupling verification (Stage IV). Stage I yielded 24,596 iMG acceleration events (AEs) and 17,098 potential video HAEs from all games. Approximately 2.5% of iMG AEs were categorized as cross-verified and coupled iMG HAEs after Stage IV, and less than 1/5 of confirmed or probable video HAEs were cross-verified with iMG data during stage III. From Stage I to IV, we observed lower peak kinematics (median peak linear acceleration from 36.0 to 10.9 g; median peak angular acceleration from 3922 to 942 rad/s2) and reduced high-frequency signals, indicative of potential reduction in kinematic noise. Our study proposes a rigorous process for on-field data screening and provides quantitative evidence of data quality improvements using this process. Ensuring data quality is critical in further investigation of potential brain injury risk using HAE exposure data.

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使用仪器护齿进行现场头部加速度暴露测量:多阶段筛选,优化数据质量。
带仪器的护齿(iMG)被广泛应用于测量运动中的头部加速度事件(HAE)暴露。尽管经过实验室验证,但现场因素(包括潜在的传感器头骨脱钩和虚假记录)限制了数据的准确性。视频分析可为验证传感器数据提供补充信息,但缺乏定量的运动学参考信息,且存在主观性。本研究的目的是开发一种严格的多阶段筛选程序,将 iMG 和视频作为独立测量方法相结合,旨在提高现场 HAE 暴露测量的质量。我们在一个完整的大学男子冰球校队赛季中部署了 iMG 并收集了视频记录。我们开发了一个四阶段流程,包括独立视频和传感器数据收集(第一阶段)、一般筛选(第二阶段)、交叉验证(第三阶段)和耦合验证(第四阶段)。第一阶段从所有游戏中获得了 24,596 个 iMG 加速事件 (AE) 和 17,098 个潜在视频 HAE。在第四阶段后,约有 2.5% 的 iMG AE 被归类为交叉验证和耦合 iMG HAE,而在第三阶段,只有不到 1/5 的已确认或可能的视频 HAE 与 iMG 数据进行了交叉验证。从第一阶段到第四阶段,我们观察到运动学峰值降低(线性加速度峰值中位数从 36.0 g 降至 10.9 g;角加速度峰值中位数从 3922 降至 942 rad/s2),高频信号减少,表明运动学噪声可能减少。我们的研究提出了严格的现场数据筛选流程,并提供了使用该流程提高数据质量的量化证据。确保数据质量对于利用 HAE 暴露数据进一步调查潜在脑损伤风险至关重要。
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来源期刊
Annals of Biomedical Engineering
Annals of Biomedical Engineering 工程技术-工程:生物医学
CiteScore
7.50
自引率
15.80%
发文量
212
审稿时长
3 months
期刊介绍: Annals of Biomedical Engineering is an official journal of the Biomedical Engineering Society, publishing original articles in the major fields of bioengineering and biomedical engineering. The Annals is an interdisciplinary and international journal with the aim to highlight integrated approaches to the solutions of biological and biomedical problems.
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