This Wireless E-Tattoo Decodes Brainwaves To Monitor And Predict Mental Strain
Published May 29 in the Cell Press journal Device, the study introduces a non-permanent wireless forehead e-tattoo that decodes brainwaves to measure mental strain without bulky headgear. This technology may help track the mental workload of workers like air traffic controllers and truck drivers, whose lapses in focus can have serious consequences.
"Technology is developing faster than human evolution. Our brain capacity cannot keep up and can easily get overloaded," says Nanshu Lu, the study's author, from the University of Texas at Austin (UT Austin) in a statement."There is an optimal mental workload for optimal performance, which differs from person to person."
Humans perform best in a cognitive Goldilocks zone, neither overwhelmed nor bored. Finding that balance is key to optimal performance. Current mental workload assessment relies on the NASA Task Load Index, a lengthy and subjective survey participants complete after performing tasks.
The e-tattoo offers an objective alternative by analysing electrical activity from the brain and eye movement in processes known as electroencephalography (EEG) and electrooculography (EOG). Unlike EEG caps that are bulky with dangling wires and lathered with squishy gel, the wireless e-tattoo consists of a lightweight battery pack and paper-thin, sticker-like sensors. These sensors feature wavy loops and coils, a design that allows them to stretch and conform seamlessly to the skin for comfort and clear signals.
"What's surprising is those caps, while having more sensors for different regions of the brain, never get a perfect signal because everyone's head shape is different," says Lu. "We measure participants' facial features to manufacture personalised e-tattoos to ensure that the sensors are always in the right location and receiving signals."
The researchers tested the e-tattoo on six participants who completed a memory challenge that increased in difficulty. As mental load rose, participants showed higher activity in theta and delta brainwaves, signalling increased cognitive demand, while alpha and beta activity decreased, indicating mental fatigue. The results suggest that the device can detect when the brain is struggling.
The device didn't stop at detection. It could also predict mental strain. The researchers trained a computer model to estimate mental workload based on signals from the e-tattoo, successfully distinguishing between different levels of mental workload. The results show that the device can potentially predict mental fatigue.
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