This book will describe 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 will describe 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.Electromyography (EMG) is another kind of signal measured from muscle cells. Measured EMG potentials range between 50I¼V up to 30 mV in the band of 7a 500 Hz, depending on the particular muscle. EMG signals are measured either byanbsp;...
|Title||:||Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces|
|Author||:||Jeremy Holleman, Fan Zhang, Brian Otis|
|Publisher||:||Springer Science & Business Media - 2010-10-29|