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Bandwidth and sample rate requirements for wearable head impact sensors.

Publication ,  Journal Article
Wu, LC; Laksari, K; Kuo, C; Luck, JF; Kleiven, S; 'Dale' Bass, CR; Camarillo, DB
Published in: Journal of biomechanics
September 2016

Wearable inertial sensors measure human head impact kinematics important to the on-going development and validation of head injury criteria. However, sensor specifications have not been scientifically justified in the context of the anticipated field impact dynamics. The objective of our study is to determine the minimum bandwidth and sample rate required to capture the impact frequency response relevant to injury. We used high-bandwidth head impact data as ground-truth measurements, and investigated the attenuation of various injury criteria at lower bandwidths. Given a 10% attenuation threshold, we determined the minimum bandwidths required to study injury criteria based on skull kinematics and brain deformation in three different model systems: helmeted cadaver (no neck), unhelmeted cadaver (no neck), and helmeted dummy impacts (with neck). We found that higher bandwidths are required for unhelmeted impacts in general and for studying strain rate injury criteria. Minimum gyroscope bandwidths of 300Hz in helmeted sports and 500Hz in unhelmeted sports are necessary to study strain rate based injury criteria. A minimum accelerometer bandwidth of 500Hz in unhelmeted sports is necessary to study most injury criteria. Current devices typically sample at 1000Hz, with gyroscope bandwidths below 200Hz, which are not always sufficient according to these requirements. With hard contact test conditions, the identified requirements may be higher than most soft contacts on the field, but should be satisfied to capture the worst contact, and often higher risk, scenarios relative to the specific sport or activity. Our findings will help establish standard guidelines for sensor choice and design in traumatic brain injury research.

Duke Scholars

Published In

Journal of biomechanics

DOI

EISSN

1873-2380

ISSN

0021-9290

Publication Date

September 2016

Volume

49

Issue

13

Start / End Page

2918 / 2924

Related Subject Headings

  • Models, Biological
  • Humans
  • Head Protective Devices
  • Brain Injuries, Traumatic
  • Biomedical Engineering
  • Biomechanical Phenomena
  • Accelerometry
  • 4207 Sports science and exercise
  • 4003 Biomedical engineering
  • 1106 Human Movement and Sports Sciences
 

Citation

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Wu, L. C., Laksari, K., Kuo, C., Luck, J. F., Kleiven, S., “Dale” Bass, C. R., & Camarillo, D. B. (2016). Bandwidth and sample rate requirements for wearable head impact sensors. Journal of Biomechanics, 49(13), 2918–2924. https://doi.org/10.1016/j.jbiomech.2016.07.004
Wu, Lyndia C., Kaveh Laksari, Calvin Kuo, Jason F. Luck, Svein Kleiven, Cameron R. “Dale” Bass, and David B. Camarillo. “Bandwidth and sample rate requirements for wearable head impact sensors.Journal of Biomechanics 49, no. 13 (September 2016): 2918–24. https://doi.org/10.1016/j.jbiomech.2016.07.004.
Wu LC, Laksari K, Kuo C, Luck JF, Kleiven S, “Dale” Bass CR, et al. Bandwidth and sample rate requirements for wearable head impact sensors. Journal of biomechanics. 2016 Sep;49(13):2918–24.
Wu, Lyndia C., et al. “Bandwidth and sample rate requirements for wearable head impact sensors.Journal of Biomechanics, vol. 49, no. 13, Sept. 2016, pp. 2918–24. Epmc, doi:10.1016/j.jbiomech.2016.07.004.
Wu LC, Laksari K, Kuo C, Luck JF, Kleiven S, “Dale” Bass CR, Camarillo DB. Bandwidth and sample rate requirements for wearable head impact sensors. Journal of biomechanics. 2016 Sep;49(13):2918–2924.
Journal cover image

Published In

Journal of biomechanics

DOI

EISSN

1873-2380

ISSN

0021-9290

Publication Date

September 2016

Volume

49

Issue

13

Start / End Page

2918 / 2924

Related Subject Headings

  • Models, Biological
  • Humans
  • Head Protective Devices
  • Brain Injuries, Traumatic
  • Biomedical Engineering
  • Biomechanical Phenomena
  • Accelerometry
  • 4207 Sports science and exercise
  • 4003 Biomedical engineering
  • 1106 Human Movement and Sports Sciences