On-field Head Acceleration Exposure Measurement Using Instrumented Mouthguards: Missing Data Imputation for Complete Exposure Analysis.

Saved in:
Bibliographic Details
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.
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