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dc.contributor.author
Lim, Jongyup
dc.contributor.author
Moon, Eunseong
dc.contributor.author
Barrow, Michael
dc.contributor.author
Nason, Samuel R.
dc.contributor.author
Patel, Paras R.
dc.contributor.author
Patil, Parag G.
dc.contributor.author
Oh, Sechang
dc.contributor.author
Lee, Inhee
dc.contributor.author
Kim, Hun-Seok
dc.contributor.author
Sylvester, Dennis
dc.contributor.author
Blaauw, David
dc.contributor.author
Chestek, Cynthia A.
dc.contributor.author
Phillips, Jamie
dc.contributor.author
Jang, Taekwang
dc.date.accessioned
2020-10-05T12:02:20Z
dc.date.available
2020-05-03T02:49:16Z
dc.date.available
2020-05-04T10:31:58Z
dc.date.available
2020-10-05T12:02:20Z
dc.date.issued
2020
dc.identifier.isbn
978-1-7281-3205-1
en_US
dc.identifier.isbn
978-1-7281-3206-8
en_US
dc.identifier.other
10.1109/ISSCC19947.2020.9063005
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/412716
dc.description.abstract
Brain machine interfaces using neural recording systems [1]-[4] can enable motor prediction [5]-[6] for accurate arm and hand control in paralyzed or severely injured individuals. However, implantable systems have historically used wires for data communication and power, increasing risks of tissue damage, infection, and cerebrospinal fluid leakage, rendering these devices unsuitable for long-term implantation (Fig. 26.9.1, top). Recently, several wireless and miniaturized neural recording implants with various power and data transmission methods were proposed. References [7], [8] propose an electrocorticography (ECoG) recording system with near-field RF power transfer and bilateral communication, but the 0.5W Tx exceeds maximum exposure limits by 10x [8]. Ultrasonic telemetry can safely send more power than RF; however it requires mm-scale dimensions (0.8mm 3 in [9]) due to bulky ultrasound transducers. On the other hand, near infrared (NIR) light can provide power transfer and data downlink via a photovoltaic cell (PV), and a data uplink via a light-emitting diode (LED). Dimensions can be scaled to 100s of microns [10], with [11] demonstrating a 0.0297mm 2 neural recording system using a 50mW/mm 2 light source of safety limit for the brain). However, this system is limited to a single channel, and since it only has a surface electrode, it can record only surface potentials (face-down, potentially blocking the light channel) or must itself be injected into brain tissue, creating significant tissue damage and danger of bleeding. In this paper, we propose 0.74μW, 0.19×0.17mm 2 1C designed for a wireless neural recording probe. It computes so-called spiking band power (SBP) [5], [12] on-chip to save 920x power while maintaining accurate finger position and velocity decoding. © 2020 IEEE.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
26.9 A 0.19×0.17mm2 Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry
en_US
dc.type
Conference Paper
dc.date.published
2020-04-13
ethz.book.title
2020 IEEE International Solid-State Circuits Conference (ISSCC)
en_US
ethz.pages.start
416
en_US
ethz.pages.end
418
en_US
ethz.event
IEEE International Solid-State Circuits Conference (ISSCC 2020)
en_US
ethz.event.location
San Francisco, CA, USA
en_US
ethz.event.date
February 16-20, 2020
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::09647 - Jang, Taekwang / Jang, Taekwang
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::09647 - Jang, Taekwang / Jang, Taekwang
ethz.date.deposited
2020-05-03T02:49:31Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-05-04T10:32:17Z
ethz.rosetta.lastUpdated
2021-02-15T17:49:41Z
ethz.rosetta.versionExported
true
ethz.COinS
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