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New sensor system detects early signs of concussion in real time

Date:
May 1, 2014
Source:
University of Arkansas, Fayetteville
Summary:
A wireless health-monitoring system that detects early signs of traumatic brain injury by continuously monitoring various brain and neural functions has been developed by engineers. "Wearable nanosensor systems can detect the severity of head injury by quantifying force of impact, be it light or violent," said an expert involved in the study. "In real time, our system continuously monitors neural activity and recognizes the signs and symptoms of traumatic brain injury, such as drowsiness, dizziness, fatigue, sensitivity to light and anxiety."

Concussions have become a serious, long-term health risk for football players. New sensor technology could allow a physician to better monitor the early physiological signs of concussions.
Credit: Image courtesy of University of Arkansas, Fayetteville

Imagine a physician, sitting in a stadium press box, equipped with technology that makes it possible to continuously monitor each player's physiological signs that indicate concussion.

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Engineering researchers at the University of Arkansas have developed a wireless health-monitoring system that does exactly that. The system includes a dry, textile-based nanosensor and accompanying network that detects early signs of traumatic brain injury by continuously monitoring various brain and neural functions.

"Wearable nanosensor systems can detect the severity of head injury by quantifying force of impact, be it light or violent," said Vijay Varadan, Distinguished Professor of electrical engineering. "In real time, our system continuously monitors neural activity and recognizes the signs and symptoms of traumatic brain injury, such as drowsiness, dizziness, fatigue, sensitivity to light and anxiety."

The system is a network of flexible sensors woven or printed into a skullcap worn under a helmet. The sensors are built with carbon nanotubes and two- and three-dimensional, textile nanostructures grown at the University of Arkansas. The system uses Zigbee/Bluetooth wireless telemetry to transmit data from the sensors to a receiver, which then transmits the data via a wireless network to a remote server or monitor, such as a computer or a smartphone. A more powerful wide-area wireless network would allow the system to detect large quantities of data taken continuously from each player on the field and transmit the data to multiple locations -- a press box, ambulance and hospital, for example.

The sensors have considerable power and capability to monitor sensitive neural and physiological activity, Varadan said. Under stress due to impact, the sensor chips are sturdier than printed circuit-board chips and can withstand high temperatures and moisture.

The system includes a pressure-sensitive textile sensor embedded underneath the helmet's outer shell. This sensor measures intensity, direction and location of impact force. The other sensors work as an integrated network within the skullcap. These include a printable and flexible gyroscope that measures rotational motion of the head and body balance and a printable and flexible 3-D accelerometer that measures lateral head motion and body balance.

The cap also includes a collection of textile-based, dry sensors that measure electrical activity in the brain, including signs that indicate the onset of mild traumatic brain injury. These sensors detect loss of consciousness, drowsiness, dizziness, fatigue, anxiety and sensitivity to light. Finally, the skullcap includes a sensor to detect pulse rate and blood oxygen level.

A modified sensor can evaluate damage to nerve tissue due to force impact. This sensor records electrical signals that work together to construct a spatiotemporal image of active regions of the brain. Varadan said these low-resolution images can substitute for conventional neuro-imaging technology, such as MRI and computerized tomography (CT scan).

Varadan and researchers in his laboratory have tested the system on a small scale for real-time application. The researchers plan to test the system during an actual game this fall.


Story Source:

The above story is based on materials provided by University of Arkansas, Fayetteville. Note: Materials may be edited for content and length.


Cite This Page:

University of Arkansas, Fayetteville. "New sensor system detects early signs of concussion in real time." ScienceDaily. ScienceDaily, 1 May 2014. <www.sciencedaily.com/releases/2014/05/140501101008.htm>.
University of Arkansas, Fayetteville. (2014, May 1). New sensor system detects early signs of concussion in real time. ScienceDaily. Retrieved December 25, 2014 from www.sciencedaily.com/releases/2014/05/140501101008.htm
University of Arkansas, Fayetteville. "New sensor system detects early signs of concussion in real time." ScienceDaily. www.sciencedaily.com/releases/2014/05/140501101008.htm (accessed December 25, 2014).

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