Title :
Circuits techniques and microsystems assembly for intracortical multichannel ENG recording
Author :
Gosselin, Benoit ; Sawan, Mohamad
Author_Institution :
Dept. of Electr. Eng., Ecole Polytech. de Montreal, Montreal, QC, Canada
Abstract :
We present dedicated circuit techniques and strategies to design and assemble dense multi-channel microsystems intended for ENG recording. Efficient neural interfacing circuits are proposed and high-fidelity data reduction strategies are demonstrated. Also, an on-chip power management scheme based on automatic biopotential detection is suggested. The presented strategy is expected to improve power consumption in multi-channel ENG sensors by an order of magnitude. Low-power design techniques, ultra-low-power neural signal processing circuits, and dedicated implementation strategies to achieve high integration density in multi-channel microsystems are also covered.
Keywords :
bioMEMS; sensors; signal processing; circuit techniques; high-fidelity data reduction; intracortical multichannel ENG recording; microsystem assembly; multichannel ENG sensors; neural interfacing circuits; neural signal processing circuits; on-chip power management; Assembly; Biomedical signal processing; Biosensors; Circuits; Energy consumption; Energy management; Signal design;
Conference_Titel :
Custom Integrated Circuits Conference, 2009. CICC '09. IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-4071-9
Electronic_ISBN :
978-1-4244-4073-3
DOI :
10.1109/CICC.2009.5280894