Consensus Head Acceleration Measurement Practices (CHAMP): Origins, Methods, Transparency and Disclosure

Arbogast, Kristy B.; Caccese, Jaclyn B.; Buckley, Thomas A.; McIntosh, Andrew S.; Henderson, Kyvory; Stemper, Brian D.; Solomon, Gary S.; Broglio, Steven P.; Funk, James R.; Crandall, Jeff R.

doi:10.1007/s10439-022-03025-9

Cited by 22 publications

(13 citation statements)

References 45 publications

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“…Subject matter experts were recruited to draft a series of papers on various aspects of the issue. As described in detail in a companion paper, 3 each team drafted a paper and several summary statements ahead of the CHAMP Consensus Conference, held on March 24–25, 2022, at the Children’s Hospital of Philadelphia. The following summary statements were discussed, revised as necessary, and ultimately approved by more than 80% of the vote at the conference: A wearable device that measures head acceleration must be independently validated for its intended application through controlled laboratory testing, and the laboratory should simulate the real-world loading environment in which the device will be used.…”

Section: Summary Statementsmentioning

confidence: 99%

Consensus Head Acceleration Measurement Practices (CHAMP): Laboratory Validation of Wearable Head Kinematic Devices

Gabler¹,

Patton

Begonia

et al. 2022

Ann Biomed Eng

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Wearable devices are increasingly used to measure real-world head impacts and study brain injury mechanisms. These devices must undergo validation testing to ensure they provide reliable and accurate information for head impact sensing, and controlled laboratory testing should be the first step of validation. Past validation studies have applied varying methodologies, and some devices have been deployed for on-field use without validation. This paper presents best practices recommendations for validating wearable head kinematic devices in the laboratory, with the goal of standardizing validation test methods and data reporting. Key considerations, recommended approaches, and specific considerations were developed for four main aspects of laboratory validation, including surrogate selection, test conditions, data collection, and data analysis. Recommendations were generated by a group with expertise in head kinematic sensing and laboratory validation methods and reviewed by a larger group to achieve consensus on best practices. We recommend that these best practices are followed by manufacturers, users, and reviewers to conduct and/or review laboratory validation of wearable devices, which is a minimum initial step prior to on-field validation and deployment. We anticipate that the best practices recommendations will lead to more rigorous validation of wearable head kinematic devices and higher accuracy in head impact data, which can subsequently advance brain injury research and management.

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Section: Summary Statementsmentioning

confidence: 99%

Consensus Head Acceleration Measurement Practices (CHAMP): Laboratory Validation of Wearable Head Kinematic Devices

Gabler¹,

Patton

Begonia

et al. 2022

Ann Biomed Eng

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“…The authors declare no direct financial benefits related to the subject of this manuscript. Detailed disclosures for the authors, CHAMP project, and CHAMP voting committee can be found in Arbogast et al 1…”

Section: Conflict Of Interestmentioning

confidence: 99%

Consensus Head Acceleration Measurement Practices (CHAMP): Study Design and Statistical Analysis

et al. 2022

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Head impact measurement devices enable opportunities to collect impact data directly from humans to study topics like concussion biomechanics, head impact exposure and its effects, and concussion risk reduction techniques in sports when paired with other relevant data. With recent advances in head impact measurement devices and cost-effective price points, more and more investigators are using them to study brain health questions. However, as the field's literature grows, the variance in study quality is apparent. This brief paper aims to provide a high-level set of key considerations for the design and analysis of head impact measurement studies that can help avoid flaws introduced by sampling biases, false data, missing data, and confounding factors. We discuss key points through four overarching themes: study design, operational management, data quality, and data analysis.

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“…Methodological and procedural information are presented in line with the recent Consensus Head Acceleration Measurement Practices (CHAMP) recommendations 3,18 .…”

Section: Methodsmentioning

confidence: 99%

Measurement Efficiency of an Instrumented Mouthguard Under a Large Range of Head Accelerations and the Effects of Filtering

Jones¹,

Austin²,

Augustus

et al. 2022

Preprint

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Instrumented mouthguards (iMG) measure head kinematics in sport, but their measurements have not been validated at high levels of accelerations observed in those sports like rugby. In addition, the effects of filter cut-off frequency on the measured kinematics are still unknown. To address these questions, a drop testing helmeted head-form of an anthropometric testing device (ATD) was used to produce a range of accelerations and accurately control them. Peak linear acceleration (PLA), rotational velocity (PRV), rotational acceleration (PRA) and maximum principal strain (MPS) values were computed. The influence of filter cut-off frequency on peak kinematics was also calculated. Comparison of the peak values across ATD and iMG indicated high levels of agreement, with a total concordance correlation coefficient of 0.97 and intraclass correlation coefficients of 0.990 for PLA, 0.970 for PRV, 0.945 for PRA, and 0.970 for MPS. Cut-off frequencies of 100-300Hz did not significantly attenuate peak kinematics, but frequencies lower than 100Hz did. This is the first study to test an iMG under impact conditions seen in sport. The method presented can be used for in-lab validation of iMGs under head accelerations seen in sport. Furthermore, these results can contribute towards defining standards for filtering iMG data.

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Consensus Head Acceleration Measurement Practices (CHAMP): Origins, Methods, Transparency and Disclosure

Cited by 22 publications

References 45 publications

Consensus Head Acceleration Measurement Practices (CHAMP): Laboratory Validation of Wearable Head Kinematic Devices

Consensus Head Acceleration Measurement Practices (CHAMP): Laboratory Validation of Wearable Head Kinematic Devices

Consensus Head Acceleration Measurement Practices (CHAMP): Study Design and Statistical Analysis

Measurement Efficiency of an Instrumented Mouthguard Under a Large Range of Head Accelerations and the Effects of Filtering

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