Researchers at EPFL have combined the fields of low-power chip design, machine learning algorithms, and soft implantable electrodes to create a neural interface capable of identifying and mitigating symptoms of various neurological disorders. Mahsa Shoaran, from the Integrated Neurotechnologies L
Researchers at EPFL have combined the fields of low-power chip design,algorithms, and soft implantable electrodes to create a neural interface capable of identifying and mitigating symptoms of various neurological disorders.
Their results were presented at the 2022 IEEE International Solid-State Circuits Conference and published in theEfficiency, scalability, and versatility In addition to these advantages, the system can detect a broader range of symptoms than other devices, which until now have focused primarily on epileptic seizure detection. The chip’s machine learning algorithm was trained on datasets from both epilepsy and Parkinson’s disease patients and accurately classified pre-recorded neural signals from both categories.
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