Choosing Optimal Cutoff Frequencies for Filtering Linear Acceleration and Angular Velocity Signals Associated with Head Impacts Measured by Instrumented Mouthguards.

Filter Head impact Instrumented mouthguard Six-degree-of-freedom (6DOF)

Journal

Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512

Informations de publication

Date de publication:
25 Feb 2024
Historique:
received: 17 08 2023
accepted: 31 01 2024
medline: 26 2 2024
pubmed: 26 2 2024
entrez: 25 2 2024
Statut: aheadofprint

Résumé

Head impact sensors worn in the mouth are popular because they couple directly to the teeth and provide six-degree-of-freedom head measurements. Mouthpiece signal filters have conventionally used cutoff frequencies lower than recommended practices (Society of Automotive Engineers, SAE J211-1) to eliminate extraneous noise when measuring with live subjects. However, there is little information about the effects of filter choice on the accuracy of signals measured by instrumented mouthpieces. Lack of standardization in head impact measurement device post-processing techniques can result in data that are not comparable across studies or device brands. This study sought optimal filter cutoff frequencies for six-degree-of-freedom measurements made at the teeth using instrumented mouthguards. We collected linear acceleration and angular velocity signals at the head center of gravity (CG) using laboratory-grade instrumentation. We also collected and filtered similar six-degree-of-freedom measurements from an instrumented mouthguard using 24 cutoff frequencies, from 25 to 600 Hz. We transformed the measurements to linear acceleration at the center of gravity of the head (CG) using all kinematic variables at the teeth, optimizing linear and angular mouthguard cutoff frequencies with one equation. We calculated the percent error in transformed peak resultant linear acceleration and minimized the mean and standard deviation in error. The optimal cutoff frequencies were 175 Hz for linear acceleration and 250 Hz for angular velocity. Rigid impacts (3-5 ms duration) had higher optimal cutoff frequencies (175 Hz linear acceleration, 275 Hz angular velocity) than padded impacts (10-12 ms duration; 100 Hz linear acceleration, 175 Hz angular velocity), and all impacts together (3-12 ms duration; 175 Hz linear acceleration, 250 Hz angular velocity). Instrumented mouthpiece manufacturers and researchers using these devices should consider these optimal filter cutoff frequencies to minimize measurement error. Sport-specific filter criteria for teeth-based sensors may be warranted to account for the difference in optimal cutoff frequency combination by impact duration.

Identifiants

pubmed: 38403749
doi: 10.1007/s10439-024-03466-4
pii: 10.1007/s10439-024-03466-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

Références

Kieffer, E. E., M. T. Begonia, A. M. Tyson, and S. Rowson. A two-phased approach to quantifying head impact sensor accuracy: in-laboratory and on-field assessments. Ann. Biomed. Eng. 48:2613–2625, 2020.
doi: 10.1007/s10439-020-02647-1 pubmed: 33051745
Jones, B., J. Tooby, et al. Ready for impact? A validity and feasibility study of instrumented mouthguards (iMGs). Br. J. Sports Med. 56(20):1171–1179, 2022.
doi: 10.1136/bjsports-2022-105523
Kieffer, E. E., C. Vaillancourt, P. G. Brolinson, and S. Rowson. Using in-mouth sensors to measure head kinematics in rugby. Proceedings of IRCOBI conference, 2020.
Marks, M. E., T. D. Holcomb, et al. Characterizing exposure to head acceleration events in youth football using an instrumented mouthpiece. Ann. Biomed. Eng. 50:1–13, 2022.
doi: 10.1007/s10439-022-03097-7
Swenson, A. G., B. A. Schunicht, et al. Head kinematics in youth ice hockey by player speed and impact direction. J. Appl. Biomech. 38(4):201–209, 2022.
doi: 10.1123/jab.2021-0331 pubmed: 35894976
Wu, L. C., V. Nangia, et al. In vivo evaluation of wearable head impact sensors. Ann. Biomed. Eng. 44(4):1234–1245, 2016.
doi: 10.1007/s10439-015-1423-3 pubmed: 26289941
SAE. Instrumentation for impact test part 1—Electronic instrumentation J211/1_202208, 2022.
Gellner, R., M. Begonia, S. Gagliardi, G. Tierney, and S. Rowson. Optimal cutoff frequencies for filtering linear acceleration and angular velocity signals associated with laboratory head impacts measured with externally mounted sensors. Proceedings of International research conference on the biomechanics of impact, 2023.
NOCSAE. Standard Test Method and Equipment Used in Evaluating the Performance Characteristics of Protective Headgear/Equipment. National Operating Committee on Standards for Athletic Equipment, 2011.
Cobb, B. R., A. M. Zadnik, and S. Rowson. Comparative analysis of helmeted impact response of Hybrid III and National Operating Committee on Standards for Athletic Equipment headforms. Proc. Inst. Mech. Eng. Part P. 230(1):50–60, 2016.
Cobb, B. R., A. MacAlister, et al. Quantitative comparison of Hybrid III and National Operating Committee on Standards for Athletic Equipment headform shape characteristics and implications on football helmet fit. Proc. Inst. Mech. Eng. Part P. 229(1):39–46, 2014.
Rowson, S., G. Brolinson, M. Goforth, D. Dietter, and S. M. Duma. Linear and angular head acceleration measurements in collegiate football. J. Biomech. Eng.131(6):061016, 2009.
doi: 10.1115/1.3130454 pubmed: 19449970
Broglio, S. P., B. Schnebel, et al. Biomechanical properties of concussions in high school football. Med. Sci. Sports Exerc. 42(11):2064–71, 2010.
doi: 10.1249/MSS.0b013e3181dd9156 pubmed: 20351593 pmcid: 2943536
Tyson, A. M., S. M. Duma, and S. Rowson. Laboratory evaluation of low-cost wearable sensors for measuring head impacts in sports. J. Appl. Biomech. 34(4):320–326, 2018.
doi: 10.1123/jab.2017-0256 pubmed: 29613824
SAE. Calculation Guidelines for Impact Testing J1727_201502, 2015.
Wu, L. C., K. Laksari, et al. Bandwidth and sample rate requirements for wearable head impact sensors. J. Biomech. 49(13):2918–2924, 2016.
doi: 10.1016/j.jbiomech.2016.07.004 pubmed: 27497499
Cobb, B. R., A. M. Tyson, and S. Rowson. Head acceleration measurement techniques: reliability of angular rate sensor data in helmeted impact testing. Proc. Inst. Mech. Eng. Part P. 232(2):176–181, 2018.
Rowson, S., and S. M. Duma. Development of the STAR evaluation system for football helmets: integrating player head impact exposure and risk of concussion. Ann. Biomed. Eng. 39(8):2130–40, 2011.
doi: 10.1007/s10439-011-0322-5 pubmed: 21553135
Daneshvar, D. H., E. S. Nair, et al. Leveraging football accelerometer data to quantify associations between repetitive head impacts and chronic traumatic encephalopathy in males. Nat. Commun. 14(1):3470, 2023.
doi: 10.1038/s41467-023-39183-0 pubmed: 37340004 pmcid: 10281995
Campolettano, E. T., R. A. Gellner, and S. Rowson. High-magnitude head impact exposure in youth football. J. Neurosurg. 20(6):604–612, 2017.
Filben, T. M., N. S. Pritchard, et al. Characterization of head impact exposure in women’s collegiate soccer. J. Appl. Biomech. 38(1):2–11, 2021.
doi: 10.1123/jab.2020-0304 pubmed: 34911036
Urban, J. E., E. M. Davenport, et al. Head impact exposure in youth football: high school ages 14 to 18 years and cumulative impact analysis. Ann. Biomed. Eng. 41:2474–2487, 2013.
doi: 10.1007/s10439-013-0861-z pubmed: 23864337 pmcid: 4714925

Auteurs

Ryan Gellner (R)

Virginia Tech (Biomedical Engineering and Mechanics), Blacksburg, VA, USA. gryan3@vt.edu.

Mark Begonia (M)

Virginia Tech (Biomedical Engineering and Mechanics), Blacksburg, VA, USA.

Steve Rowson (S)

Virginia Tech (Biomedical Engineering and Mechanics), Blacksburg, VA, USA.

Classifications MeSH