On-field Head Acceleration Exposure Measurement Using Instrumented Mouthguards: Missing Data Imputation for Complete Exposure Analysis.
Saved in:
| Title: | On-field Head Acceleration Exposure Measurement Using Instrumented Mouthguards: Missing Data Imputation for Complete Exposure Analysis. |
|---|---|
| Authors: | Luke, David1,2 (AUTHOR), Masood, Zaryan1 (AUTHOR), Bondi, Daniel2 (AUTHOR), Zhang, Chaokai3 (AUTHOR), Kenny, Rebecca1 (AUTHOR), Clansey, Adam1 (AUTHOR), van Donkelaar, Paul4 (AUTHOR), Rauscher, Alexander5,6 (AUTHOR), Ji, Songbai3 (AUTHOR), Wu, Lyndia1,2 (AUTHOR) lwu@mech.ubc.ca |
| Source: | Annals of Biomedical Engineering. Sep2025, Vol. 53 Issue 9, p2282-2298. 17p. |
| Subjects: | Brain injuries, Contact sports, Image analysis, Athletic ability, Multiple imputation (Statistics), Head injuries, Mouth protectors |
| Abstract: | Purpose: Accurate quantification of head acceleration event (HAE) exposure is critical for investigating brain injury risk in contact sports athletes. However, missing HAEs may be unavoidable in real-world data collection. This study introduces missing data imputation methods to estimate complete video- and sensor-based HAE exposure. Methods: We captured and verified university men's ice hockey HAEs using video and instrumented mouthguards (iMGs) in one varsity season (nathletes = 27, ngames = 31). A statistical mapping technique was first introduced to impute missing video-based HAEs during away games with limited camera angles. We then applied multiple imputation to impute missing iMG-based HAEs using captured data, including the complete video-based HAE exposure. This enabled estimation of complete exposure data at a per-athlete level over all games of the season. Results: Among 591 athlete-games, 45% did not have any recorded iMG data. We find that data imputation increased the median values of per-athlete-season video- and iMG-based HAE counts by 10% and 69%, respectively. Consequently, common head kinematics- and brain deformation-based cumulative exposure metrics also increased substantially (median per-athlete-season cumulative peak linear acceleration by 95%, peak angular acceleration by 109%, and corpus callosum strain by 69%). Conclusion: This study highlights the potential underestimation of exposure metrics due to missing HAEs and fills a critical gap in sports HAE exposure research. Future studies should incorporate missing data imputation methods for more accurate estimation of HAE exposure in investigating acute and long-term brain trauma risks. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 187624801 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: On-field Head Acceleration Exposure Measurement Using Instrumented Mouthguards: Missing Data Imputation for Complete Exposure Analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Luke%2C+David%22">Luke, David</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Masood%2C+Zaryan%22">Masood, Zaryan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bondi%2C+Daniel%22">Bondi, Daniel</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Chaokai%22">Zhang, Chaokai</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kenny%2C+Rebecca%22">Kenny, Rebecca</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Clansey%2C+Adam%22">Clansey, Adam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Donkelaar%2C+Paul%22">van Donkelaar, Paul</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rauscher%2C+Alexander%22">Rauscher, Alexander</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ji%2C+Songbai%22">Ji, Songbai</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Lyndia%22">Wu, Lyndia</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> lwu@mech.ubc.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Biomedical+Engineering%22">Annals of Biomedical Engineering</searchLink>. Sep2025, Vol. 53 Issue 9, p2282-2298. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Brain+injuries%22">Brain injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Contact+sports%22">Contact sports</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Athletic+ability%22">Athletic ability</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+imputation+%28Statistics%29%22">Multiple imputation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Head+injuries%22">Head injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Mouth+protectors%22">Mouth protectors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Accurate quantification of head acceleration event (HAE) exposure is critical for investigating brain injury risk in contact sports athletes. However, missing HAEs may be unavoidable in real-world data collection. This study introduces missing data imputation methods to estimate complete video- and sensor-based HAE exposure. Methods: We captured and verified university men's ice hockey HAEs using video and instrumented mouthguards (iMGs) in one varsity season (nathletes = 27, ngames = 31). A statistical mapping technique was first introduced to impute missing video-based HAEs during away games with limited camera angles. We then applied multiple imputation to impute missing iMG-based HAEs using captured data, including the complete video-based HAE exposure. This enabled estimation of complete exposure data at a per-athlete level over all games of the season. Results: Among 591 athlete-games, 45% did not have any recorded iMG data. We find that data imputation increased the median values of per-athlete-season video- and iMG-based HAE counts by 10% and 69%, respectively. Consequently, common head kinematics- and brain deformation-based cumulative exposure metrics also increased substantially (median per-athlete-season cumulative peak linear acceleration by 95%, peak angular acceleration by 109%, and corpus callosum strain by 69%). Conclusion: This study highlights the potential underestimation of exposure metrics due to missing HAEs and fills a critical gap in sports HAE exposure research. Future studies should incorporate missing data imputation methods for more accurate estimation of HAE exposure in investigating acute and long-term brain trauma risks. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=187624801 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10439-025-03747-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2282 Subjects: – SubjectFull: Brain injuries Type: general – SubjectFull: Contact sports Type: general – SubjectFull: Image analysis Type: general – SubjectFull: Athletic ability Type: general – SubjectFull: Multiple imputation (Statistics) Type: general – SubjectFull: Head injuries Type: general – SubjectFull: Mouth protectors Type: general Titles: – TitleFull: On-field Head Acceleration Exposure Measurement Using Instrumented Mouthguards: Missing Data Imputation for Complete Exposure Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Luke, David – PersonEntity: Name: NameFull: Masood, Zaryan – PersonEntity: Name: NameFull: Bondi, Daniel – PersonEntity: Name: NameFull: Zhang, Chaokai – PersonEntity: Name: NameFull: Kenny, Rebecca – PersonEntity: Name: NameFull: Clansey, Adam – PersonEntity: Name: NameFull: van Donkelaar, Paul – PersonEntity: Name: NameFull: Rauscher, Alexander – PersonEntity: Name: NameFull: Ji, Songbai – PersonEntity: Name: NameFull: Wu, Lyndia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00906964 Numbering: – Type: volume Value: 53 – Type: issue Value: 9 Titles: – TitleFull: Annals of Biomedical Engineering Type: main |
| ResultId | 1 |