Biomimetic and Biofeedback approaches forBrain Machine Interface

Kianoush Nazarpour, Andrew Jackson

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, we elaborate on the distinction between classic approaches towards brain machine interface (BMI), that is Biomimetic and Biofeedback, and discuss their advantages and 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, were view early works on operant conditioning and our recent results on emulating BMI by a myoelectric control interface.
Original languageEnglish
Pages207-211
Number of pages5
Publication statusPublished - 17 Dec 2010
EventAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2010 - Biopolis, Singapore
Duration: 17 Dec 201017 Dec 2010

Conference

ConferenceAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2010
Abbreviated titleAPSIPA ASC 2010
CountrySingapore
CityBiopolis
Period17/12/1017/12/10

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