AI-enabled breakthrough that could transform epilepsy care by enabling secure-at home monitoring
91直播 researchers have developed an AI system that 鈥榗leans鈥� brain signals in real time on wearable devices. Their breakthrough could transform epilepsy care, helping people with epilepsy now and unlocking a future of smarter healthcare.
Wearable brain-monitoring devices, known as EEGs, can help track conditions like epilepsy without the need for surgery. However, these devices pick up a lot of background noise 鈥� 鈥渁rtifacts鈥� 鈥� which can make readings less accurate.
To address this challenge team, led by Dr Mahdi Saleh, have designed a deep learning model that 鈥榗leans鈥� brain signals (EEG) in real time, running on small, low-power wearable devices. By filtering out unwanted noise and interference, the technology delivers clearer, more reliable readings without the need to send sensitive brain data to remote servers.
This breakthrough is the first to show that advanced AI for EEG monitoring can work on compact, wearable devices. Whilst each device offers trade-offs between speed and power consumption, the research proves that real-time, portable and secure brain monitoring is possible.
As Dr Saleh explains: 鈥淭his turns hospital-level monitoring into an everyday reality, helping people with epilepsy now and unlocking a future of smarter healthcare.鈥�
Beyond epilepsy care, the innovation could pave the way for next-generation health devices and brain-computer interfaces, where privacy, portability and real-time performance are essential.
This work was supported by the EIC Pathfinder RELIEVE Project.
Meet the researchers
Dr Mahdi Saleh is a Postdoctoral Researcher at The University of Manchester, specialising in wearable health technologies, embedded systems and Edge AI. His work focuses on developing real-time, low-power solutions for brain monitoring and biosignal processing, bridging engineering and healthcare to create practical, patient-friendly technologies for neurological care and digital health innovation.