Literature DB >> 21194694

Evaluation of a flexible force sensor for measurement of helmet foam impact performance.

Ryan Ouckama1, David J Pearsall.   

Abstract

The association between translational head acceleration and concussion remains unclear and provides a weak predictive measure for this type of injury; thus, alternative methods of helmet evaluation are warranted. Recent finite element analysis studies suggest that better estimates of concussion risk can be obtained when regional parameters of the cranium, brain and surrounding tissues are included. Lacking, however, are empirical data at the head-helmet interface with regards to contact area and force. Hence, the purpose of this study was to evaluate a system to capture the impact force distribution of helmet foams. Thirteen Flexiforce(®) sensors were arranged in a 5 × 5 cm array, secured to a load cell. Three densities of foam were repeatedly impacted with 5 J of energy during ambient (20°C) and cold (-25°C) conditions. RMS error, calculated relative to the global force registered by the load cell, was <1.5% of the measurement range during individual calibration of the Flexiforce(®) sensors. RMS error was 5% of the measured range for the global force estimated by the sensor array. Load distribution measurement revealed significant differences between repeated impacts of cold temperature foams for which acceleration results were non-significant. The sensor array, covering only 36% of the total area, possessed sufficient spatial and temporal resolution to capture dynamic load distribution patterns. Implementation of this force mapping system is not limited to helmet testing. Indeed it may be adopted to assess other body regions vulnerable to contact injuries (e.g., chest, hip and shin protectors).
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21194694     DOI: 10.1016/j.jbiomech.2010.11.035

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Key Strike Forces and Their Relation to High Level of Musculoskeletal Symptoms.

Authors:  Yafa Levanon; Amit Gefen; Yehuda Lerman; Sigal Portnoy; Navah Z Ratzon
Journal:  Saf Health Work       Date:  2016-05-14

2.  Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures.

Authors:  Rafique Ahmed Lakho; Zamir Ahmed Abro; Jun Chen; Rui Min
Journal:  Sensors (Basel)       Date:  2022-07-22       Impact factor: 3.847

3.  Real-Time Detection and Monitoring of Acute Brain Injury Utilizing Evoked Electroencephalographic Potentials.

Authors:  Jonathan A N Fisher; Stanley Huang; Meijun Ye; Marjan Nabili; W Bryan Wilent; Victor Krauthamer; Matthew R Myers; Cristin G Welle
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-03-01       Impact factor: 4.528

  3 in total

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