Biomimetic and Biofeedback approaches forBrain Machine Interface

Kianoush  Nazarpour; Andrew Jackson

Biomimetic and Biofeedback approaches forBrain Machine Interface

Research output: Contribution to conference › Paper › peer-review

Abstract / Description of output

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 language	English
Pages	207-211
Number of pages	5
Publication status	Published - 17 Dec 2010
Event	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2010 - Biopolis, Singapore Duration: 17 Dec 2010 → 17 Dec 2010

Conference

Conference	Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2010
Abbreviated title	APSIPA ASC 2010
Country/Territory	Singapore
City	Biopolis
Period	17/12/10 → 17/12/10

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http://www.apsipa.org/proceedings_2010/pdf/APSIPA42.pdfLicence: All Rights Reserved
http://www.apsipa.org/proceedings_2010/html/index.htmLicence: All Rights Reserved

Cite this

@conference{3f819dccfdf74797a73b3922ff31ba6c,

title = "Biomimetic and Biofeedback approaches forBrain Machine Interface",

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.",

author = "Kianoush Nazarpour and Andrew Jackson",

year = "2010",

month = dec,

day = "17",

language = "English",

pages = "207--211",

note = "Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2010, APSIPA ASC 2010 ; Conference date: 17-12-2010 Through 17-12-2010",

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TY - CONF

T1 - Biomimetic and Biofeedback approaches forBrain Machine Interface

AU - Nazarpour, Kianoush

AU - Jackson, Andrew

PY - 2010/12/17

Y1 - 2010/12/17

N2 - 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.

AB - 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.

M3 - Paper

SP - 207

EP - 211

T2 - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2010

Y2 - 17 December 2010 through 17 December 2010

ER -

Biomimetic and Biofeedback approaches forBrain Machine Interface

Abstract / Description of output

Conference

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Cite this