000			02300nam a22004575i 4500
001			978-3-319-31541-6
003			DE-He213
005			20200421111158.0
007			cr nn 008mamaa
008			160330s2016 gw | s |||| 0|eng d
020			_a9783319315416 _9978-3-319-31541-6
024	7		_a10.1007/978-3-319-31541-6 _2doi
050		4	_aTK7888.4
072		7	_aTJFC _2bicssc
072		7	_aTEC008010 _2bisacsh
082	0	4	_a621.3815 _223
100	1		_aZjajo, Amir. _eauthor.
245	1	0	_aBrain-Machine Interface _h[electronic resource] : _bCircuits and Systems / _cby Amir Zjajo.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXX, 163 p. 79 illus., 3 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Neural Signal Conditioning Circuits -- Neural Signal Quantization Circuits -- Neural Signal Classification Circuits -- Brain-Machine Interface: System Optimization -- Conclusions and Recommendations -- Appendix -- Index.
520			_aThis 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.
650		0	_aEngineering.
650		0	_aBiomedical engineering.
650		0	_aElectronic circuits.
650	1	4	_aEngineering.
650	2	4	_aCircuits and Systems.
650	2	4	_aBiomedical Engineering.
650	2	4	_aBiomedical Engineering/Biotechnology.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319315409
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-31541-6
912			_aZDB-2-ENG
942			_cEBK
999			_c53632 _d53632