A system for efficient neural stimulation with energy recovery

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2004. === Includes bibliographical references (p. 191-195). === An analog VLSI-based low-power neural tissue stimulator is presented as a part of the MIT and Massachusetts Eye and E...

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Main Author: Kelly, Shawn Kevin, 1973-
Other Authors: John L. Wyatt, Jr.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/30084
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-300842019-05-02T16:26:21Z A system for efficient neural stimulation with energy recovery Kelly, Shawn Kevin, 1973- John L. Wyatt, Jr. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2004. Includes bibliographical references (p. 191-195). An analog VLSI-based low-power neural tissue stimulator is presented as a part of the MIT and Massachusetts Eye and Ear Infirmary Retinal Implant Project to develop a prosthesis for restoring some useful vision to patients blinded by retinal degeneration. Such a prosthesis would receive image data from an external camera and electrically stimulate surviving ganglion nerve cells. However, power consumption for this type of implant is dominated by the tissue and electrode-tissue interface, and the current source stimulators generally used are inefficient, limiting battery life and generating potentially damaging temperature increases at the retinal surface. A stimulation system has been developed which delivers the required stimulus charge to the electrodes, but uses far less power than typical stimulators. A traditional current source uses output transistors to limit current, but those transistors can drop substantial voltage, and therefore cost power. The aim of this system is to generate a step-ramp voltage waveform which mimics the electrode voltage (modeled as a series resistance and capacitance) during constant current stimulation. This is implemented with a series of voltage steps, each step a separate power supply. (cont.) Electrodes are switched through a series of steps, and each step is maintained at its prescribed voltage by a controlled synchronous rectifier, which charges the supply capacitor from a single AC secondary power coil. This novel architecture uses less than half of the power used by an aggressively designed current source stimulator with the same voltage rails, and about one-third of the power consumed by typical stimulators used for this function. by Shawn Kevin Kelly. Ph.D. 2006-03-24T18:17:59Z 2006-03-24T18:17:59Z 2003 2004 Thesis http://hdl.handle.net/1721.1/30084 55667258 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 195 p. 7413427 bytes 7413233 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Electrical Engineering and Computer Science.
spellingShingle Electrical Engineering and Computer Science.
Kelly, Shawn Kevin, 1973-
A system for efficient neural stimulation with energy recovery
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2004. === Includes bibliographical references (p. 191-195). === An analog VLSI-based low-power neural tissue stimulator is presented as a part of the MIT and Massachusetts Eye and Ear Infirmary Retinal Implant Project to develop a prosthesis for restoring some useful vision to patients blinded by retinal degeneration. Such a prosthesis would receive image data from an external camera and electrically stimulate surviving ganglion nerve cells. However, power consumption for this type of implant is dominated by the tissue and electrode-tissue interface, and the current source stimulators generally used are inefficient, limiting battery life and generating potentially damaging temperature increases at the retinal surface. A stimulation system has been developed which delivers the required stimulus charge to the electrodes, but uses far less power than typical stimulators. A traditional current source uses output transistors to limit current, but those transistors can drop substantial voltage, and therefore cost power. The aim of this system is to generate a step-ramp voltage waveform which mimics the electrode voltage (modeled as a series resistance and capacitance) during constant current stimulation. This is implemented with a series of voltage steps, each step a separate power supply. === (cont.) Electrodes are switched through a series of steps, and each step is maintained at its prescribed voltage by a controlled synchronous rectifier, which charges the supply capacitor from a single AC secondary power coil. This novel architecture uses less than half of the power used by an aggressively designed current source stimulator with the same voltage rails, and about one-third of the power consumed by typical stimulators used for this function. === by Shawn Kevin Kelly. === Ph.D.
author2 John L. Wyatt, Jr.
author_facet John L. Wyatt, Jr.
Kelly, Shawn Kevin, 1973-
author Kelly, Shawn Kevin, 1973-
author_sort Kelly, Shawn Kevin, 1973-
title A system for efficient neural stimulation with energy recovery
title_short A system for efficient neural stimulation with energy recovery
title_full A system for efficient neural stimulation with energy recovery
title_fullStr A system for efficient neural stimulation with energy recovery
title_full_unstemmed A system for efficient neural stimulation with energy recovery
title_sort system for efficient neural stimulation with energy recovery
publisher Massachusetts Institute of Technology
publishDate 2006
url http://hdl.handle.net/1721.1/30084
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