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Data Compression in Brain-Machine/Computer Interfaces Based on the Walsh–Hadamard Transform

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This paper reports on the application of the Walsh–Hadamard transform (WHT) for data compression in
brain-machine/brain-computer interfaces. Using the proposed technique, the amount of the neural data transmitted off the implant is compressed by a factor of at least 63 at the expense of as low as 4.66% RMS error between the signal reconstructed on the external host and the original neural signal on the implant side. Based on the proposed idea, a 128-channel WHT processor was designed in a 0.18- CMOS process occupying 1.64 of silicon area. The circuit consumes 81 (0.63 per channel) from a 1.8-V power supply at 250 kHz. A prototype of the proposed processor was implemented and successfully tested
using prerecorded neural signals.
Index Terms—Brain-machine/computer interfaces, data compression, implantable neural recording microsystems, Walsh–Hadamard transform.

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Informasi Detail

Judul Seri

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS

No. Panggil

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Penerbit

New York : IEEE., 2014

Deskripsi Fisik

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, VOL. 8, NO. 1, FEBRUARY 2014

Bahasa

English

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

VOL. 8, NO. 1, FEBRUARY 2014

Subjek

TEKNIK

Info Detail Spesifik

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Pernyataan Tanggungjawab

yuli/agus

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