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Sensing Passive Eye Response to Impact Induced Head Acceleration Using MEMS IMUs
IEEE Transactions on Biomedical Circuits and Systems
|January 30, 2018
Summary
This study shows how eye movements, measured by microelectromechanical systems (MEMS) inertial measurement units (IMUs), can help understand head impacts and concussions. This new method uses the eye as a brain surrogate to analyze injury dynamics.
Area of Science:
- Biomechanics
- Neuroscience
- Medical Devices
Background:
- The brain's response to head acceleration during impact is critical for understanding concussions.
- The eye's movement dynamics may serve as a surrogate indicator for brain injury.
- Current methods for measuring head impact often lack direct correlation with internal brain response.
Purpose of the Study:
- To develop and validate a novel technique for measuring passive eye movements using microelectromechanical systems (MEMS) inertial measurement units (IMUs).
- To assess the feasibility of using the eye as a surrogate for the brain in dynamic impact scenarios.
- To quantify relative eye-to-head motion during impact events to better understand concussion mechanisms.
Main Methods:
- Utilized ribbon-style flexible printed circuit board IMUs inserted into the eye socket and reference IMUs on the head.
- Conducted drop-and-impact experiments using a 3D-printed scaled human skull model and human volunteers.
- Employed a microcontroller unit for data acquisition and data fusion techniques for processing and displacement estimation.
Main Results:
- Successfully validated the IMU-based technique for sensing passive eye movements during dynamic impacts.
- Estimated displacements of the eye relative to the head, showing good agreement with measured parameters.
- Computed relative accelerations and displacements, providing insights into the influence of concussion-causing impacts.
Conclusions:
- Passive eye movements, when measured with IMUs, can effectively act as a surrogate for brain response to head impacts.
- The developed methodology offers a promising approach for analyzing head injury biomechanics and concussion risk.
- This technique has potential applications in sports safety, automotive safety, and clinical diagnostics for traumatic brain injury.
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