000			03319nam a22004455i 4500
001			978-1-4419-6727-5
003			DE-He213
005			20140220083721.0
007			cr nn 008mamaa
008			101029s2011 xxu| s |||| 0|eng d
020			_a9781441967275 _9978-1-4419-6727-5
024	7		_a10.1007/978-1-4419-6727-5 _2doi
050		4	_aTK7888.4
072		7	_aTJFC _2bicssc
072		7	_aTEC008010 _2bisacsh
082	0	4	_a621.3815 _223
100	1		_aHolleman, Jeremy. _eauthor.
245	1	0	_aUltra Low-Power Integrated Circuit Design for Wireless Neural Interfaces _h[electronic resource] / _cby Jeremy Holleman, Fan Zhang, Brian Otis.
264		1	_aNew York, NY : _bSpringer New York, _c2011.
300			_aVII, 121p. 100 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aMicro-power Integrated Circuits for Neural Interfaces Jeremy Holleman Fan Zhang Brian Otis This book describes ultra low-power, integrated circuits and systems designed for the emerging field of neural signal recording and processing, and wireless communication. Since neural interfaces are typically implanted, their operation is highly energy-constrained. This book introduces concepts and theory that allow circuit operation approaching the fundamental limits. Design examples and measurements of real systems are provided. The book describes circuit designs for all of the critical components of a neural recording system, including: - Amplifiers which utilize new techniques to improve the trade-off between good noise performance and low power consumption - Analog and mixed-signal circuits which implement signal processing tasks specific to the neural recording application: - Detection of neural spikes - Extraction of features that describe the spikes - Clustering, a machine learning technique for sorting spikes - Weak-inversion operation of analog-domain transistors, allowing processing circuits that reduce the requirements for analog-digital conversion and allow low system-level power consumption. - Highly-integrated, sub-mW wireless transmitter designed for the Medical Implant Communications Service (MICS) and ISM bands. •Covers analog, radio, and signal processing theory and design for ultra low-power circuits, tied together throughout the book to form an entire system; •Provides fundamental requirements of neural recording systems, as well as design techniques for reducing power consumption in low-noise amplifiers; •Includes miniaturized system-integration techniques in the context of ultra low-power circuits; •Uses results from real prototype systems to demonstrate techniques described
650		0	_aEngineering.
650		0	_aComputer aided design.
650		0	_aSystems engineering.
650	1	4	_aEngineering.
650	2	4	_aCircuits and Systems.
650	2	4	_aComputer-Aided Engineering (CAD, CAE) and Design.
700	1		_aZhang, Fan. _eauthor.
700	1		_aOtis, Brian. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441967268
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4419-6727-5
912			_aZDB-2-ENG
999			_c105633 _d105633