Development of a Low-Power Instrumented Mouthpiece for Directly Measuring Head Acceleration in American Football

Gabler, Lee F.; Dau, Nathan; Park, Gwansik; Miles, Alex; Arbogast, Kristy B.; Crandall, Jeff R.

doi:10.1007/s10439-021-02826-8

Cited by 11 publications

(14 citation statements)

References 46 publications

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“…23 Sensor accuracy in tests with an unconstrained mandible was severely diminished (up to 80% error) when compared to conditions in which the mandible was fixed or completely removed. 25,45 A neckform can be added to a headform to simulate head-neck response to impact and can often enable higher rotational head kinematics. Examples of neckforms that have been validated under frontal impact in automotive applications include the Hybrid III neck 22 and THOR neck.…”

Section: Specific Considerationsmentioning

confidence: 99%

“…Kinematic data are usually transformed to the local head coordinate system at head CG with sensor axes aligned to anatomical directions; however, some studies have examined data at other locations (e.g., to check coupling between the skull and jaw or to isolate linear and rotational sensor errors). 25,45 Beyond standard exclusion criteria for removing tests with corrupt data or those falling outside preestablished repeatability standards, 81 head impact classification algorithms may be used to remove nonimpact recordings made by the wearable device. 65 Clear and consistent methods for event removal criteria should be reported, 81 and laboratory performance of the algorithm in head impact counting should be evaluated and reported prior to on-field testing.…”

Section: Specific Considerationsmentioning

confidence: 99%

“… 21 , 60 , 65 , 70 An increased interest in head impact monitoring coupled with advancements in sensing technology has led to the development of various devices, 65 , 90 , 94 that include kinematic sensors mounted in helmets, 2 , 20 , 71 headbands, 35 skin patches, 94 earpieces, 63 , 73 and mouthpieces. 7 , 16 , 25 , 56 These devices often leverage small, low-cost, low-power sensor technologies, with the most incorporated sensors being microelectromechanical system (MEMS) accelerometers to measure linear acceleration and gyroscopes to measure angular velocity. While wearable devices make it possible for large-scale research deployment and consumer adoption, they are often limited in accuracy due to limitations in low-cost sensor capabilities, imperfect head-device coupling, and the complexity of real-world impact conditions.…”

Section: Introductionmentioning

confidence: 99%

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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: Specific Considerationsmentioning

confidence: 99%

Section: Specific Considerationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…This combination of mouthguard sensor and machine learning-based head impact detection system offers a broad range of important applications such as equipment improvements, player education, and rule changes. 158 As the use of wearable sensors and neurological tests for clinical studies on high-risk populations (e.g., contact sports players and brain injury) rapidly grows, the platform that can share these data between relevant institutions is thus extremely required to ECS Sensors Plus, 2022 1 021603…”

Section: Albumin and Kallikreinmentioning

confidence: 99%

Review—Lab-in-a-Mouth and Advanced Point-of-Care Sensing Systems: Detecting Bioinformation from the Oral Cavity and Saliva

et al. 2022

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Cavitas sensors and point-of-need sensors capable of providing physical and biochemical information from the oral cavity and saliva have attracted great attention because they offer remarkable advantages for noninvasive sensing systems. Herein, we introduce the basic anatomy and physiology of important body cavities to understand their characteristics as it is a pivotal foundation for the successful development of in-mouth devices. Next, the advanced development in lab-in-a-mouth sensors and point-of-need sensors for analyzing saliva are explained. In addition, we discuss the integrations of artificial intelligence and electronic technologies in smart sensing networks for healthcare systems. This review ends with a discussion of the challenges, future research trends, and opportunities in relevant disciplines. Mouthguard-based sensors and conventional salivary sensing devices will continue to be significant for the progress in the next-generation sensing technologies and smart healthcare systems.

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“…86 More recent research into developing more accurate impact sensors in helmet and mouthpieces have offered some insight into the duration, direction, magnitude of head motion, and impact. 87 One study examining the use of fiber optics sensors coupled with a machine learning model could accurately predict (R2 ∼ 0.90) bluntforce trauma magnitude and direction from novel impacts not yet experienced by the system. 88 When examining angular acceleration and velocity, using a sensor patch placed against the neck has shown some promise in the prediction of head rotational kinematics (R 2 >0.9).…”

Section: Innovations In Helmet Designmentioning

confidence: 99%

Neurotrauma Prevention Review: Improving Helmet Design and Implementation

Goutnik¹,

Goeckeritz²,

Sabetta³

et al. 2022

Preprint

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Neurotrauma continues to contribute to significant mortality and disability. The need for better protective equipment is apparent. This review focuses on improved helmet design and the necessi-ty for continued research. We start by highlighting current innovations in helmet design for sport and subsequent utilization in the lay community for construction. The current standards by sport and organization are summarized. We then address current standards within the military envi-ronment. The pathophysiology is discussed with emphasis on how helmets provide protection. As innovative designs emerge, protection against secondary injury becomes apparent. Much research is needed, but this focused paper is intended to serve as a catalyst for improvement in helmet de-sign and implementation to provide more efficient and reliable neuroprotection across broad arenas.

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Development of a Low-Power Instrumented Mouthpiece for Directly Measuring Head Acceleration in American Football

Cited by 11 publications

References 46 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

Review—Lab-in-a-Mouth and Advanced Point-of-Care Sensing Systems: Detecting Bioinformation from the Oral Cavity and Saliva

Neurotrauma Prevention Review: Improving Helmet Design and Implementation

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