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<?Pub Dtl?>Emerging applications in brain–machine interface systems require high-resolution, chronic multisite cortical recordings, which cannot be obtained with existing technologies due to high power consumption, high invasiveness, or inability to transmit data wirelessly. In this paper, we describe a microsystem based on electrocorticography (ECoG) that overcomes these difficulties, enabling...
The goal of brain-machine interface (BMI) is to convert thought into action and sensation into perception. This novel technology holds the potential to revolutionize healthcare and neurorehabilitation. A major challenge in translating BMIs to the patient population is the lack of clinically viable implantable devices that will last a lifetime. To achieve this, wirelessly addressable battery-free implants...
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