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• W2244893152 abstract "This paper reviews technologies and signal processing algorithms for decoding peripheral nerve and electrocorticogram signals to interpret human intent and control prosthetic arms. The review includes a discussion of human motor system physiology and physiological signals that can be used to decode motor intent, electrode technology for acquiring neural data, and signal processing methods including decoders based on Kalman filtering and least-squares regressors. Representative results from human experiments demonstrate the progress that has been made in neural decoding and its potential for developing neuroprosthetic arms that act and feel like natural arms." @default.
• W2244893152 created "2016-06-24" @default.
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• W2244893152 date "2016-02-01" @default.
• W2244893152 modified "2023-09-27" @default.
• W2244893152 title "Recording and decoding for neural prostheses" @default.
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