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Biomimetic and biofeedback approaches for brain machine interface
Lookup NU author(s)
Dr Kianoush Nazarpour
Professor Andrew Jackson
Nazarpour K, Jackson A
Conference Proceedings (inc. Abstract)
APSIPA Annual Summit and Conference 2010
Year of Conference
Source Publication Date
14-17 December 2010
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In this paper, we elaborate on the distinction between classic approaches towards brain machine interface (BMI), that is Biomimetic and Biofeedback, and discuss their advantagesand disadvantages. For biomimetic BMI, we briefly report results of a novel constrained Kalman filtering-optimization mechanism for prediction of myoelectric signals from neural spike recordings in a behaving macaque monkey. For the Biofeedback BMI, we review early works on operant conditioning and our recent results on emulating BMI by a myoelectric control interface.
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