The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A 100-Channel Hermetically Sealed Implantable Device for Chronic Wireless Neurosensing Applications
Open accessAbstract
A 100-channel fully implantable wireless broadband neural recording system was developed. It features 100 parallel broadband (0.1 Hz-7.8 kHz) neural recording channels, a medical grade 200 mAh Li-ion battery recharged inductively at 150 kHz , and data telemetry using 3.2 GHz to 3.8 GHz FSK modulated wireless link for 48 Mbps Manchester encoded data. All active electronics are hermetically sealed in a titanium enclosure with a sapphire window for electromagnetic transparency. A custom, high-density configuration of 100 individual hermetic feedthrough pins enable connection to an intracortical neural recording microelectrode array. A 100 MHz bandwidth custom receiver was built to remotely receive the FSK signal and achieved -77.7 dBm sensitivity with 10(-8) BER at 48 Mbps data rate. ESD testing on all the electronic inputs and outputs has proven that the implantable device satisfies the HBM Class-1B ESD Standard. In addition, the evaluation of the worst-case charge density delivered to the tissue from each I/O pin verifies the patient safety of the device in the event of failure. Finally, the functionality and reliability of the complete device has been tested on-bench and further validated chronically in ongoing freely moving swine and monkey animal trials for more than one year to date.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719
A low-power low-noise cmos for amplifier neural recording applications
Harrison, R. R., & Charles, C. (2003) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2003.811979 · Cited by 1,695
Cortical control of a prosthetic arm for self-feeding
Velliste, M., Perel, S., Spalding, M. C., Whitford, A. S., & Schwartz, A. B. (2008) · Nature · doi:10.1038/nature06996 · Cited by 1,591
Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex
Rousche, P. J., & Normann, R. A. (1998) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(98)00031-4 · Cited by 646
Active tactile exploration using a brain–machine–brain interface
O’Doherty, J. E., Lebedev, M. A., Ifft, P. J., Zhuang, K. Z., Shokur, S., Bleuler, H., & Nicolelis, M. A. L. (2011) · Nature · doi:10.1038/nature10489 · Cited by 629
An Energy-Efficient Micropower Neural Recording Amplifier
Wattanapanitch, W., Fee, M., & Sarpeshkar, R. (2007) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2007.907868 · Cited by 441
An Implantable 64-Channel Wireless Microsystem for Single-Unit Neural Recording
Sodagar, A. M., Perlin, G. E., Yao, Y., Najafi, K., & Wise, K. D. (2009) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2009.2023159 · Cited by 218
Cited by
Shon, A., Chu, J.-U., Jung, J., Kim, H., & Youn, I. (2017) · Sensors · doi:10.3390/s18010001 · Cited by 320
Simeral, J. D., Hosman, T., Saab, J., Flesher, S. N., Vilela, M., Franco, B., Kelemen, J. N., Brandman, D. M., Ciancibello, J. G., Rezaii, P. G., et al. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3069119 · Cited by 165
Self-citationIntracortical recording stability in human brain–computer interface users
Downey, J. E., Schwed, N., Chase, S. M., Schwartz, A. B., & Collinger, J. L. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aab7a0 · Cited by 149
Sensors and Decoding for Intracortical Brain Computer Interfaces
Homer, M. L., Nurmikko, A. V., Donoghue, J. P., & Hochberg, L. R. (2013) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071910-124640 · Cited by 121
Self-citationIbrahim, A., Meng, M., & Kiani, M. (2018) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2812420 · Cited by 83
Metadata
- Authors
- Yin, M., Borton, D. A., Aceros, J., Patterson, W. R., & Nurmikko, A. V.
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2013-04
- Volume
- 7
- Issue
- 2
- Pages
- 115-128
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2104826681
- Cited by
- 165
- References
- 7
- FWCI
- 8.01
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A 100-Channel Hermetically Sealed Implantable Device for Chronic Wireless Neurosensing Applications. https://app.cochat.ai/papers/10.1109/tbcas.2013.2255874
- The paper
- Yin, M., Borton, D. A., Aceros, J., Patterson, W. R., & Nurmikko, A. V. (2013). A 100-Channel Hermetically Sealed Implantable Device for Chronic Wireless Neurosensing Applications. IEEE Transactions on Biomedical Circuits and Systems. https://doi.org/10.1109/tbcas.2013.2255874
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
