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Proceedings Paper

Wireless health monitoring helmet for football players to diagnose concussion and track fatigue
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Paper Abstract

Football players are regularly exposed to violent impacts. Concussions are mild traumatic brain injuries that are one of the most common injuries experienced by football players. These concussions are often overlooked by football players themselves and the clinical criteria used to diagnose them. The cumulative effect of these mild traumatic brain injuries can cause long-term residual brain dysfunctions. In addition, an athlete’s fatigue level should be monitored to prevent any secondary injuries due to over exertion. Nitric Oxide acts as a metabolic adjustment factor that controls the flow of oxygen in blood and the contraction/relaxation of muscles. Fatigue can be evaluated by measuring the concentration change of nitric oxide in blood. However, measuring the concentration of nitric oxide in blood is not feasible during exercise. Nevertheless, the degree of fatigue can be measured with SpO2 during exercise because the change of nitric oxide also influences the SpO2. In this paper, we propose a wireless health monitoring helmet to diagnose concussions and evaluate fatigue in real time and on the field. The helmet is equipped with sensors and a transmitter module. As sensors, textile based electrodes are used to sense EEG and oximeter sensors are used to derive SpO2. The sensed physiological signals are amplified and processed in the transmitter module. The processed signals are transmitted to a server using Zigbee wireless communication. The EEG signals are classified to diagnose concussion or any abnormality of brain function. In conclusion, the system can monitor and diagnose concussions and evaluate fatigue in football players in real time by measuring their EEGs and SpO2.

Paper Details

Date Published: 9 April 2013
PDF: 7 pages
Proc. SPIE 8691, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2013, 869106 (9 April 2013); doi: 10.1117/12.2009719
Show Author Affiliations
Sechang Oh, The Univ. of Arkansas (United States)
Prashanth Shyam Kumar, The Univ. of Arkansas (United States)
Hyeokjun Kwon, The Univ. of Arkansas (United States)
Pratyush Rai, The Univ. of Arkansas (United States)
Mouli Ramasamy, The Univ. of Arkansas (United States)
Vijay K. Varadan, The Univ. of Arkansas (United States)
Pennsylvania State Univ. (United States)
Global Institute of Nanotechnology in Engineering and Medicine Inc. (United States)

Published in SPIE Proceedings Vol. 8691:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2013
Vijay K. Varadan, Editor(s)

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