Efficient Feature Extraction and Classification Methods in Neural Interfaces
Brain disorders such as dementia, epilepsy, migraine, and autism remain largely undertreated, but neural devices are increasingly being used for their treatment. Such devices are designed to interface with the brain, monitor and detect neurological abnormalities, and trigger an appropriate type of therapy such as neuromodulation to restore normal function. A key challenge to these new treatments is to integrate state-of-the-art signal acquisition techniques, as well as efficient biomarker extraction and classification methods to accurately identify symptoms, using low-cost, highly integrated, wireless, and miniaturized devices.
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