A phase synchronization and magnitude processor VLSI architecture for adaptive neural stimulation
- 1 November 2010
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2010 Biomedical Circuits and Systems Conference (BioCAS)
Abstract
A low-power VLSI processor architecture that computes in real time the magnitude, phase and phase synchronization of two input signals is presented. The processor is part of an envisioned closed-loop implantable or wearable microsystem for adaptive neural stimulation. The architecture uses three CORDIC processing cores that require shift-and-add operations but no multiplication. The 10-bit processor synthesized in a standard 1.2 V 0.13 μm CMOS technology utilizes 41,000 logic gates. For 64 input channels, it dissipates 1.1 μ W per input, and provides 1 kS/s per-channel throughput when clocked at 1.41 MHz. The power scales linearly with the number of input channels or the sampling rate.Keywords
This publication has 13 references indexed in Scilit:
- The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation InterfaceIEEE Transactions on Biomedical Circuits and Systems, 2010
- Sub-microwatt correlation integral processor for implantable closed-loop epileptic neuromodulatorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- 50 Years of CORDIC: Algorithms, Architectures, and ApplicationsIEEE Transactions on Circuits and Systems I: Regular Papers, 2009
- Intracranial Stimulation Therapy for EpilepsyNeurotherapeutics, 2009
- Assessing transient cross-frequency coupling in EEG dataJournal of Neuroscience Methods, 2008
- High Frequency Thalamic Stimulation for Inoperable Mesial Temporal EpilepsyEpilepsia, 2007
- Online Control of a Brain-Computer Interface Using Phase SynchronizationIEEE Transactions on Biomedical Engineering, 2006
- Seizure prediction: the long and winding roadBrain, 2006
- Phase synchronization for the recognition of mental tasks in a brain-computer interfaceIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2004
- Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patientsPhysica D: Nonlinear Phenomena, 2000