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In Vivo Protocol of Controlled Subconcussive Head Impacts for the Validation of Field Study Data
Published on: April 18, 2019
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Analysis of head impacts during sub-elite hurling practice sessions
D O'Sullivan1, M Roe2,3, C Blake2
1a Division of Sport Science, Kyungam Gym, Sports Science , Pusan National University , Busan , Republic of Korea.
Journal of Sports Sciences
|September 6, 2017
Summary
This study quantified head impacts in hurling players using accelerometers. Data revealed varying impact magnitudes across training intensities, aiding athlete safety and helmet development.
Area of Science:
- Sports Medicine
- Biomechanics
- Injury Prevention
Background:
- Head and neck injuries are a concern in hurling, with a reported incidence of 0.12 per 1000 hours.
- Previous research has not quantified head impact characteristics specific to hurling.
Purpose of the Study:
- To quantify head impact characteristics in senior club level hurling players.
- To assess the feasibility of using wireless accelerometers and gyroscopes for head impact measurement in hurling.
- To differentiate head impact data based on training session intensity.
Main Methods:
- Utilized wireless accelerometer and gyroscope sensors to capture head impacts in 20 senior club level hurling players.
- Recorded peak linear and rotational acceleration and impact location during three training sessions per player.
- Collected data over 247 minutes of total exposure time, recording 1314 impacts.
Main Results:
- A mean of 27.9 impacts (linear acceleration >10g) per player per session were recorded.
- Only 2.6% of impacts exceeded 70g peak linear acceleration, and 6.2% exceeded 7900 rad/s² peak rotational acceleration.
- Significant differences in impact number and magnitude were observed between training sessions of varying intensity (p < 0.001).
Conclusions:
- This study is the first to quantify head impacts in hurling, demonstrating the feasibility of sensor technology.
- The technology successfully discriminated between training sessions of different intensities.
- Data can inform athlete monitoring, helmet testing standards, and provide clinical feedback for medical personnel.

