Researchers developed an automated machine learning method that can detect compulsive seizures by combining measures of electrical activity in the skin and wrist motion.
Other clinical applications for the wristband include anxiety, mood and stress monitoring and measuring painkiller drug responses.
"We can observe increases in sympathetic brain activation by monitoring subtle electrical changes across the surface of the skin," said Rosalind Picard from Massachusetts Institute of Technology (MIT) in the US.
In some medical conditions, such as epilepsy, it shows significant increases related to certain areas of the brain being activated, they said.
Also Read
Wristwatch-like devices can employ sensors for continuous, real-time data gathering.
Changes in electrical activity in the skin occur as the result of activation in deep regions of the brain, researchers said.
The discovery already has been commercialised for use in seizure monitoring.
"We know that pain exacerbates anxiety and stress and we are doing more studies to determine how reductions in anxiety and stress could indicate an analgesic response activated by a pain management therapy," Picard said.
While they have not demonstrated detection of non- convulsive seizures, 42 per cent to 86 per cent of non- convulsive, complex partial seizures also have significant changes of electrical activity in the skin, researchers said.
Disclaimer: No Business Standard Journalist was involved in creation of this content