Evidence map›Paper›PMID 41826581›Full record

ArticleAnnals of biomedical engineering2026

Field Evaluation of a Wearable Instrumented Headband Designed for Measuring Head Kinematics.

Anu Tripathi, Yang Wan, Zhiren Zhu, Furkan Camci, Sheila Turcsanyi, Jeneel Pravin Kachhadiya, Mauricio Araiza Canizales, Alison Brooks, Haneesh Kesari, Joseph Andrews and 4 more

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Anu TripathiDepartment of Engineering, Robert Morris University, Moon Township, PA, USA.
Yang WanSchool of Engineering, Brown University, Providence, RI, USA.
Zhiren ZhuDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.
Furkan CamciWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
Sheila TurcsanyiWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
Jeneel Pravin KachhadiyaDepartment of Electrical and Computer Engineering , University of Wisconsin Madison, Madison, USA.
Mauricio Araiza CanizalesDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Alison BrooksDepartment of Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI, USA.
Haneesh KesariSchool of Engineering, Brown University, Providence, RI, USA.
Joseph AndrewsDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Traci SneddenCollege of Nursing, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Peter FerrazzanoWaisman Center, University of Wisconsin-Madison, Madison, WI, USA.
Christian FranckDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Rika Wright CarlsenDepartment of Engineering, Robert Morris University, Moon Township, PA, USA. carlsen@rmu.edu.ORCID http://orcid.org/0000-0002-5743-1130

Funding

Office of Naval Research N00014-21-1-2044Office of the Vice Chancellor for Research and Graduate Education, University of Wisconsin-Madison 136-AAI3375
6 · The paper itself

Abstract

purposeTo study the relationship between soccer heading and the risk of mild traumatic brain injury (mTBI), we previously developed an instrumented headband and data-processing scheme to measure the angular head kinematics of soccer headers. Laboratory evaluation of the headband on an anthropomorphic test device showed good agreement with a reference sensor for soccer ball impacts to the front of the head. In this study, we evaluate the headband in measuring the full head kinematics of soccer headers in the field.

methodsThe headband was evaluated under typical soccer heading scenarios (throw-ins, goal-kicks, and corner-kicks) on a human subject. The measured time history and peak kinematics from the headband were compared with those from an instrumented mouthpiece, which is a widely accepted method for measuring head kinematics in the field.

resultsThe time-history agreement (CORA scores) between the headband and the mouthpiece ranged from 'fair' to 'excellent', with the highest agreement for angular velocities (0.79 ± 0.08) and translational accelerations (0.73 ± 0.05) and lowest for angular accelerations (0.67 ± 0.06). A Bland-Altman analysis of the peak kinematics from the headband and mouthpiece found the mean bias to be 40.9

conclusionsThe field evaluation of the instrumented headband showed reasonable agreement with the mouthpiece for some kinematic measures and impact conditions. Future work should focus on improving the headband performance across all kinematic measures.

Indexed as

HeadSoccerWearable Electronic DevicesAccelerationBiomechanical PhenomenaHumansMaleField validationInstrumented headbandMild traumatic brain injurySensor arraySoccer headers

Identifiers

PMID41826581

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.