The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An Ultra-Low-Power Programmable Analog Bionic Ear Processor
Open accessAbstract
We report a programmable analog bionic ear (cochlear implant) processor in a 1.5-microm BiCMOS technology with a power consumption of 211 microW and 77-dB dynamic range of operation. The 9.58 mm x 9.23 mm processor chip runs on a 2.8 V supply and has a power consumption that is lower than state-of-the-art analog-to-digital (A/D)-then-DSP designs by a factor of 25. It is suitable for use in fully implanted cochlear-implant systems of the future which require decades of operation on a 100-mAh rechargeable battery with a finite number of charge-discharge cycles. It may also be used as an ultra-low-power spectrum-analysis front end in portable speech-recognition systems. The power consumption of the processor includes the 100 microW power consumption of a JFET-buffered electret microphone and an associated on-chip microphone front end. An automatic gain control circuit compresses the 77-dB input dynamic range into a narrower internal dynamic range (IDR) of 57 dB at which each of the 16 spectral channels of the processor operate. The output bits of the processor are scanned and reported off chip in a format suitable for continuous-interleaved-sampling stimulation of electrodes. Power-supply-immune biasing circuits ensure robust operation of the processor in the high-RF-noise environment typical of cochlear implant systems.
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Citations
Cites
Analog Versus Digital: Extrapolating from Electronics to Neurobiology
Sarpeshkar, R. (1998) · Neural Computation · doi:10.1162/089976698300017052 · Cited by 496
Self-citation
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Self-citationWearable Medical Systems for p-Health
Teng, X.-F., Zhang, Y.-T., Poon, C. C. Y., & Bonato, P. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008248 · Cited by 310
Ultralow-Power Electronics for Biomedical Applications
Chandrakasan, A. P., Verma, N., & Daly, D. C. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160547 · Cited by 285
Powering implantable and ingestible electronics
Yang, S., Sencadas, V., You, S. S., Jia, N. Z., Srinivasan, S. S., Huang, H., Ahmed, A. E., Liang, J. Y., & Traverso, G. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202009289 · Cited by 183
Low-Power Circuits for Brain–Machine Interfaces
Sarpeshkar, R., Wattanapanitch, W., Arfin, S. K., Rapoport, B. I., Mandal, S., Baker, M. W., Fee, M. S., Musallam, S., & Andersen, R. A. (2008) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2008.2003198 · Cited by 91
Self-citationUniversal Principles for Ultra Low Power and Energy Efficient Design
Sarpeshkar, R. (2012) · IEEE Transactions on Circuits and Systems II: Express Briefs · doi:10.1109/tcsii.2012.2188451 · Cited by 40
Self-citation(2012) · DiVA (Linkoping University) · Cited by 10
2022 roadmap on neuromorphic computing and engineering
Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., et al. (2022) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/ac4a83
Metadata
- Authors
- Sarpeshkar, R., Salthouse, C., Sit, J.-J., Baker, M. W., Zhak, S. M., Lu, T. K.-T., Turicchia, L., & Balster, S.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2005-04
- Volume
- 52
- Issue
- 4
- Pages
- 711-727
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2100995199
- Cited by
- 171
- References
- 1
- FWCI
- 6.26
- Type
- journal article
- Language
- en
- Open access
- green
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