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Data Compression in Brain-Machine/Computer Interfaces Based on the Walsh-Hadamard Transform
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DOI：10.1109/TBCAS.2013.2258669.png)
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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-mu m CMOS process occupying 1.64 mm(2) of silicon area. The circuit consumes 81 mu(W) over bar (0.63 mu(W) over bar 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.
Keyword:
Brain-machine/computer interfaces
data compression
implantable neural recording microsystems
Walsh-Hadamard transform
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5.2
论文数:
9.8K
被引数:
2.2W
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Microelectrodes, microelectronics, and implantable neural microsystems.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
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