Researchers from CSIRO have created a new device that aims to prevent and monitor seizures of a brain surgery patient. The device is equipped with machine learning and will be manageable in detecting brain seizes. CSIRO collaborated with an Australian company Anatomics to develop a smart helmet to monitor brain complications of a brain injury patient.
Dr. Umut Guvenc, a researcher at CSIRO said that brain injuries affect almost 70 million across the globe and an estimated 700,000 Australians. Brain injuries increase the likelihood of chronic epilepsy because of seizures.
Nowadays, monitoring techniques require bulky devices to provide a quick snapshot of brain activity in a specific period of time. This new device can be instrumental in monitoring brain activity wirelessly, giving enough space for the patient to be comfortable, mobile, and socially active.
The machine learning that was applied to the said device was developed at Monash University and is capable of detecting even the smallest seizures before logging it into the health practitioner.
The device will remain idle during normal brain activity. This allows it to conserve energy while monitoring brain activity all throughout. Whenever a seizure is recorded, the device will be reactivated and will transmit data immediately.
As part of the project, a brain-machine interface will be developed too to allow clinicians to monitor brain function.
The Larger Trend
Last August, Macquarie University coordinated with GE Healthcare and Fujitsu Australia to determine how AI can be helpful in diagnosing and monitoring brain aneurysms faster and more efficiently.
AI methods will be applied to the images provided by GE’s CT SCANNER. An algorithm will be embedded to look for abnormalities and will automatically flag potential aneurysms for preventive care.
