Title :
Approaches for the efficient extraction and processing of biopotentials in implantable neural interfacing microsystems
Author :
Gosselin, Benoit
Author_Institution :
Dept. of Electr. & Comput. Eng., Laval Univ., Quebec City, QC, Canada
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
The accelerating pace of research in neurosciences and rehabilitation engineering has created a considerable demand for implantable microsystems capable of interfacing with large groups of neurons. Such microsystems must provide multiple recording channels incorporating low-noise amplifiers, filters, data converters, neural signal processing circuitry, power management units and low-power transmitters to extract and wirelessly transfer the relevant neural data outside the body for computing and storage. This paper is reviewing several electronic recording strategies to address the challenge of operating large numbers of channels to gather the neural information from several neurons within very low-power constraints.
Keywords :
analogue-digital conversion; biomedical electronics; low noise amplifiers; low-power electronics; medical signal processing; neurophysiology; biopotential; data converters; electronic recording; filters; implantable neural interfacing microsystem; low-noise amplifiers; low-power constraints; low-power transmitters; multiple recording channels; neural data; neural information; neural signal processing circuitry; neurons; power management units; rehabilitation engineering; Bandwidth; Cutoff frequency; Electrodes; Noise; Power demand; Time division multiplexing; Action Potentials; Algorithms; Animals; Equipment Design; Equipment Failure Analysis; Humans; Information Storage and Retrieval; Miniaturization; Neurons; Prostheses and Implants; Signal Processing, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091448