NDLI: An implantable integrated low-power amplifier-microelectrode array for Brain-Machine Interfaces

Content Provider	IEEE Xplore Digital Library
Author	Patrick, E. Sankar, V. Rowe, W. Sanchez, J.C. Nishida, T.
Copyright Year	2010
Description	Author affiliation: Department of Pediatrics, Division of Neurology, University of Florida, Gainesville, USA (Sanchez, J.C.) \|\| Department of Electrical and Computer Engineering, University of Florida, Gainesville, USA (Patrick, E.; Sankar, V.; Rowe, W.; Nishida, T.)
Abstract	One of the important challenges in designing Brain-Machine Interfaces (BMI) is to build implantable systems that have the ability to reliably process the activity of large ensembles of cortical neurons. In this paper, we report the design, fabrication, and testing of a polyimide-based microelectrode array integrated with a low-power amplifier as part of the Florida Wireless Integrated Recording Electrode (FWIRE) project at the University of Florida developing a fully implantable neural recording system for BMI applications. The electrode array was fabricated using planar micromachining MEMS processes and hybrid packaged with the amplifier die using a flip-chip bonding technique. The system was tested both on bench and in-vivo. Acute and chronic neural recordings were obtained from a rodent for a period of 42 days. The electrode-amplifier performance was analyzed over the chronic recording period with the observation of a noise floor of 4.5 µVrms, and an average signal-to-noise ratio of 3.8.
Starting Page	1816
Ending Page	1819
File Size	1458121
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626419
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arrays Microelectrodes Substrates Floors Signal to noise ratio
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Design and Fabrication of a Flexible Substrate Microelectrode Array for Brain Machine Interfaces

Analyzing neuronal activation with macroelectrode vs. microelectrode array stimulation

Acoustic fall detection using a circular microphone array

Penetrating microelectrode arrays with low-impedance sputtered iridium oxide electrode coatings

A new architecture for neural signal amplification in implantable brain machine interfaces

Flexible polymer substrate and tungsten microelectrode array for an implantable neural recording system

Automated navigation of a glass micropipette on a high-density microelectrode array

A low-power self-biased neural amplifier for implantable EEG recording system ICs

Web technology based microelectrode characterization instrument

An implantable integrated low-power amplifier-microelectrode array for Brain-Machine Interfaces

Similar Documents

Design and Fabrication of a Flexible Substrate Microelectrode Array for Brain Machine Interfaces

Analyzing neuronal activation with macroelectrode vs. microelectrode array stimulation

Acoustic fall detection using a circular microphone array

Penetrating microelectrode arrays with low-impedance sputtered iridium oxide electrode coatings

A new architecture for neural signal amplification in implantable brain machine interfaces

Flexible polymer substrate and tungsten microelectrode array for an implantable neural recording system

Automated navigation of a glass micropipette on a high-density microelectrode array

A low-power self-biased neural amplifier for implantable EEG recording system ICs

Web technology based microelectrode characterization instrument

An implantable integrated low-power amplifier-microelectrode array for Brain-Machine Interfaces