An asynchronous,low-power architecture for interleaved neural stimulation, using envelope and phase information
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. === Includes bibliographical references (p. 122-124). === This thesis describes a low-power cochlear-implant processor chip and a charge-balanced stimulation chip that together form a...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-405122019-05-02T15:40:10Z An asynchronous,low-power architecture for interleaved neural stimulation, using envelope and phase information Sit, Ji-Jon, 1975- Rahul Sarpeshkar. 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, 2007. Includes bibliographical references (p. 122-124). This thesis describes a low-power cochlear-implant processor chip and a charge-balanced stimulation chip that together form a complete processing-and-stimulation cochlear-implant system. The processor chip uses a novel Asynchronous Interleaved Stimulation (AIS) algorithm that preserves phase and amplitude cues in its spectral input while simultaneously minimizing electrode interactions and lowering average stimulation power per electrode. The stimulator chip obviates the need for large D.C. blocking capacitors in neural implants to achieve highly precise charge-balanced stimulation, thus lowering the size and cost of the implant. Thus, this thesis suggests that significant performance, power and cost improvements in the current generation of cochlear implants may be simultaneously possible. The 16-channel ~90 square mm AIS processor chip was built in a 1.5[mu]m VLSI process and consumed 107[mu]W of power over and above that of its analog spectral processing front end, which consumed 250gtW and which has been previously described. The AIS processor was found to faithfully mimic MATLAB implementations of the AIS algorithm. Two perceptual tests of the AIS algorithm with normal-hearing listeners verified that AIS signal reconstructions enabled better melody and speech recognition in noise than traditional envelope-only vocoder simulations of cochlear-implant processing. The average firing rate of the AIS processor was found to be significantly lower than in traditional synchronous stimulators, suggesting that the AIS algorithm and processor can potentially save power and improve hearing performance in cochlear-implant users. The stimulator chip was built in a 0.7glm high-voltage VLSI process and performed dynamic current balancing followed by a shorting phase. (cont.) It achieved <6nA of average DC current error, well below the targeted safety limit of 25nA for cochlear-implant patients. On +6 and -9V rails, the power consumption of a single channel of this chip was 47[mu]W when biasing power is shared by 16 channels. It puts out a charge-balanced stimulation pulse whenever it receives an asynchronous input signal from an AIS processor encoding phase information and 7-bit amplitude information, thus making the AIS processor chip and stimulator chip fully compatible in the cochlear-implant system. The AIS algorithm and charge-balancing circuits described in this work may be useful in other nerve-stimulation prosthetics where good fidelity in input-information encoding, minimization of electrode interactions, low-power strategies for stimulation, and compact charge-balanced stimulation are also important. by Ji-Jon Sit. Ph.D. 2008-02-27T22:41:05Z 2008-02-27T22:41:05Z 2007 2007 Thesis http://hdl.handle.net/1721.1/40512 191869946 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 124 p. application/pdf Massachusetts Institute of Technology |
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Electrical Engineering and Computer Science. |
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Electrical Engineering and Computer Science. Sit, Ji-Jon, 1975- An asynchronous,low-power architecture for interleaved neural stimulation, using envelope and phase information |
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. === Includes bibliographical references (p. 122-124). === This thesis describes a low-power cochlear-implant processor chip and a charge-balanced stimulation chip that together form a complete processing-and-stimulation cochlear-implant system. The processor chip uses a novel Asynchronous Interleaved Stimulation (AIS) algorithm that preserves phase and amplitude cues in its spectral input while simultaneously minimizing electrode interactions and lowering average stimulation power per electrode. The stimulator chip obviates the need for large D.C. blocking capacitors in neural implants to achieve highly precise charge-balanced stimulation, thus lowering the size and cost of the implant. Thus, this thesis suggests that significant performance, power and cost improvements in the current generation of cochlear implants may be simultaneously possible. The 16-channel ~90 square mm AIS processor chip was built in a 1.5[mu]m VLSI process and consumed 107[mu]W of power over and above that of its analog spectral processing front end, which consumed 250gtW and which has been previously described. The AIS processor was found to faithfully mimic MATLAB implementations of the AIS algorithm. Two perceptual tests of the AIS algorithm with normal-hearing listeners verified that AIS signal reconstructions enabled better melody and speech recognition in noise than traditional envelope-only vocoder simulations of cochlear-implant processing. The average firing rate of the AIS processor was found to be significantly lower than in traditional synchronous stimulators, suggesting that the AIS algorithm and processor can potentially save power and improve hearing performance in cochlear-implant users. The stimulator chip was built in a 0.7glm high-voltage VLSI process and performed dynamic current balancing followed by a shorting phase. === (cont.) It achieved <6nA of average DC current error, well below the targeted safety limit of 25nA for cochlear-implant patients. On +6 and -9V rails, the power consumption of a single channel of this chip was 47[mu]W when biasing power is shared by 16 channels. It puts out a charge-balanced stimulation pulse whenever it receives an asynchronous input signal from an AIS processor encoding phase information and 7-bit amplitude information, thus making the AIS processor chip and stimulator chip fully compatible in the cochlear-implant system. The AIS algorithm and charge-balancing circuits described in this work may be useful in other nerve-stimulation prosthetics where good fidelity in input-information encoding, minimization of electrode interactions, low-power strategies for stimulation, and compact charge-balanced stimulation are also important. === by Ji-Jon Sit. === Ph.D. |
author2 |
Rahul Sarpeshkar. |
author_facet |
Rahul Sarpeshkar. Sit, Ji-Jon, 1975- |
author |
Sit, Ji-Jon, 1975- |
author_sort |
Sit, Ji-Jon, 1975- |
title |
An asynchronous,low-power architecture for interleaved neural stimulation, using envelope and phase information |
title_short |
An asynchronous,low-power architecture for interleaved neural stimulation, using envelope and phase information |
title_full |
An asynchronous,low-power architecture for interleaved neural stimulation, using envelope and phase information |
title_fullStr |
An asynchronous,low-power architecture for interleaved neural stimulation, using envelope and phase information |
title_full_unstemmed |
An asynchronous,low-power architecture for interleaved neural stimulation, using envelope and phase information |
title_sort |
asynchronous,low-power architecture for interleaved neural stimulation, using envelope and phase information |
publisher |
Massachusetts Institute of Technology |
publishDate |
2008 |
url |
http://hdl.handle.net/1721.1/40512 |
work_keys_str_mv |
AT sitjijon1975 anasynchronouslowpowerarchitectureforinterleavedneuralstimulationusingenvelopeandphaseinformation AT sitjijon1975 asynchronouslowpowerarchitectureforinterleavedneuralstimulationusingenvelopeandphaseinformation |
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1719026101035991040 |