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IoT-enabled headband for real-time concussion monitoring in amateur rugby

Manna, Soumya Kanti, Azhar, M. A. Hannan Bin, Cunio-Browne, Tim, O'Sullivan, Eithne, Howells, Kristy (2025) IoT-enabled headband for real-time concussion monitoring in amateur rugby. In: 2025 International Workshop on Biomedical Applications, Technologies and Sensors (BATS). . pp. 69-73. IEEE E-ISBN 979-8-3315-7510-6. (doi:10.1109/bats67559.2025.11336208) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:112932)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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Official URL:
https://doi.org/10.1109/bats67559.2025.11336208

Abstract

Given the growing concern around chronic traumatic encephalopathy (CTE) and repeated mild traumatic brain injuries (mTBIs), particularly in non-helmeted contact sports, this paper introduces the development and evaluation of an affordable concussion detection device specifically designed for amateur rugby players. While existing helmet-mounted devices focus primarily on head motion tracking, primarily in professional sports and defense applications, there remains a gap in accessible solutions for non-helmeted athletes. The proposed system incorporates an Inertial Measurement Unit (IMU) and an IoT-enabled microcontroller into a compact, wearable headband capable of monitoring real-time head impacts. The IMU is positioned at the back of the head near the external occipital protuberance for measuring concussion and a force resistive sensor (FSR) near the temporal region (right side) of the skull to measure direct impact force. This location is chosen to minimise damage to both the sensors and the players since the nature of most tackles in rugby involves connecting the temporal region of the skull. The device will continuously monitor linear and angular acceleration, as well as force data, through a mobile application using IoT capabilities. To assist with early medical intervention, the device categorises impacts into three severity levels: low, medium, and high, indicating the potential need for prompt medical evaluation.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/bats67559.2025.11336208
Uncontrolled keywords: traumatic brain injuries, concussion detection, inertial measurement unit, rugby player
Subjects: R Medicine
Institutional Unit: Schools > Kent and Medway Medical School
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There are no former institutional units.
Funders: Kent and Medway Medical School (https://ror.org/049p9j193)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 17 Feb 2026 11:31 UTC
Last Modified: 23 Feb 2026 12:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/112932 (The current URI for this page, for reference purposes)

University of Kent Author Information

Cunio-Browne, Tim.

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O'Sullivan, Eithne.

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