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02299nam a22004455i 4500 |
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978-3-319-31541-6 |
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160330s2016 gw | s |||| 0|eng d |
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|a 9783319315416
|9 978-3-319-31541-6
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|a 10.1007/978-3-319-31541-6
|2 doi
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|d GrThAP
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|a TK7888.4
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|a TEC008010
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|a 621.3815
|2 23
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|a Zjajo, Amir.
|e author.
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|a Brain-Machine Interface
|h [electronic resource] :
|b Circuits and Systems /
|c by Amir Zjajo.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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|a XX, 163 p. 79 illus., 3 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Introduction -- Neural Signal Conditioning Circuits -- Neural Signal Quantization Circuits -- Neural Signal Classification Circuits -- Brain-Machine Interface: System Optimization -- Conclusions and Recommendations -- Appendix -- Index.
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|a This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit optimization algorithms. The introduced novel circuits for signal conditioning, quantization, and classification, as well as system configurations focus on optimized power-per-area performance, from the spatial resolution (i.e. number of channels), feasible wireless data bandwidth and information quality to the delivered power of implantable system.
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|a Engineering.
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|a Biomedical engineering.
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|a Electronic circuits.
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|a Engineering.
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|a Circuits and Systems.
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|a Biomedical Engineering.
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|a Biomedical Engineering/Biotechnology.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319315409
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|u http://dx.doi.org/10.1007/978-3-319-31541-6
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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