26.9 A 0.19×0.17mm<sup>2</sup> Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry

Lim, Jongyup; Moon, Eunseong; Barrow, Michael; Nason, Samuel R.; Patel, Paras R.; Patil, Parag G.; Oh, Sechang; Lee, Inhee; Kim, Hun-Seok; Sylvester, Dennis; Blaauw, David; Chestek, Cynthia A.; Phillips, Jamie; Jang, Taekwang

doi:10.1109/isscc19947.2020.9063005

Cited by 40 publications

(35 citation statements)

References 7 publications

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“…[ 140 ] Recently, even smaller than 1 mm size devices with CNT electrodes have been reported with such wireless communication abilities reducing further the motion induced damage to the brain tissue. [ 141 ] Even though it has been shown in studies, that wireless systems can overcome significant drawbacks of neurological implants by reducing a major source of signal loss and instability, there are still some obstacles to overcome, such as low sampling rate and unfavorable (too rigid) material properties. [ 129,142,143 ]…”

Section: Device Strategies For Successful Cortex Implants Based On Somentioning

confidence: 99%

Soft Electronics Based on Stretchable and Conductive Nanocomposites for Biomedical Applications

Zambrano

Renz

Ruff

et al. 2020

Adv Healthcare Materials

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Research on the field of implantable electronic devices that can be directly applied in the body with various functionalities is increasingly intensifying due to its great potential for various therapeutic applications. While conventional implantable electronics generally include rigid and hard conductive materials, their surrounding biological objects are soft and dynamic. The mechanical mismatch between implanted devices and biological environments induces damages in the body especially for long‐term applications. Stretchable electronics with outstanding mechanical compliance with biological objects effectively improve such limitations of existing rigid implantable electronics. In this article, the recent progress of implantable soft electronics based on various conductive nanocomposites is systematically described. In particular, representative fabrication approaches of conductive and stretchable nanocomposites for implantable soft electronics and various in vivo applications of implantable soft electronics are focused on. To conclude, challenges and perspectives of current implantable soft electronics that should be considered for further advances are discussed.

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Section: Device Strategies For Successful Cortex Implants Based On Somentioning

confidence: 99%

Soft Electronics Based on Stretchable and Conductive Nanocomposites for Biomedical Applications

Zambrano

Renz

Ruff

et al. 2020

Adv Healthcare Materials

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“…The external device is inductively coupled with a repeater in the epidural space. The repeater receives the EM power from the external device, and powers and programs the micro-probes placed in the sub-dural space via NIR light [38].…”

Section: Two-tiered Hybrid Poweringmentioning

confidence: 99%

“…The chip is wire-bonded with a GaAs PV cell, which generates 893 nA at 1.67 V when exposed to 850 nm light of intensity 120.5 µW/mm 2 . Its data uplink is facilitated by an on-probe LED, whose light is received by a singlephoton avalanche diode (SPAD) of the repeater [38]. One of the major advantages of powering through IR is its more uniform coverage in comparison to its EM counterpart.…”

Section: System Examples (State Of the Art)mentioning

confidence: 99%

“…As a result, researches in the field of fully wireless free-floating neural implantable interfaces strive to minimize the footprint of FIGURE 1: Scaling-down trend of implantable neural interfaces to millimeter scales over the years. [27]- [38] such devices. As seen in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…State-of-the-art free-floating millimeter-scale implantable neural interfaces: (a) Neural Dust[206], (b) Free-Floating Wireless Implantable Neural Recording (FF-WINeR) System-on-Chip (SoC)[95], (c) Empowering Next Generation Implantable Neural Interfaces (ENGINI)[97], (d) Neurograin[96], (e) Combined EM/IR recording system developed by University of Michigen and ETH Zurich[38] (f) The combined electrical/optical stimulator[207], (g) Free-Floating, Wirelessly powered, Implantable Optical Stimulation (FF-WIOS) device for untethered optogenetic neuromodulation[208], (h) Encapsulated neural interfacing and acquisition chip (ENIAC)[33], (i) Microbead[37].…”

mentioning

confidence: 99%

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Challenges in Scaling Down of Free-Floating Implantable Neural Interfaces to Millimeter Scale

Yang

2020

IEEE Access

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Implantable neural interface devices are an emerging technology for continuous brain monitoring and brain-computer interface (BCI). Recording of electrical signals from neurons of interest has led to more efficient and personalized diagnosis, treatment, and prognosis of neurological disorders. It facilitates the dynamic mapping of the whole brain, improving our understanding of the links between brain functions and behaviors. Stimulation of targeted nerves and neurons has been utilized as an effective therapy for Parkinson's disease, essential tremor, dystonia, etc. It has also been developed as motor neuroprosthetic devices, improving the quality of life of many. Although initial designs were bulky, recent advances in semiconductor and nano-, micro-technology has enabled the miniaturization of such devices to the millimeter scale. Free-floating neural implants of miniature size are highly scalable to be distributed around the targeted region of interest more extensively. They are more clinically viable as they cause less disturbance to the body and induce less tissue immune response. However, these research efforts for scaling down have faced challenges resulted from decreasing the size of such implants, including issues pertaining to wireless powering, data communication, neural signal recording, and neural stimulation. Through extensive literature research and simulations, the limits and trade-offs regarding neural implant miniaturization are investigated and analyzed for each aspect of the challenges. State-of-the-art development and future trends for advanced neural interfaces are also explored. INDEX TERMS Implantable neural interface, neural signal recording and stimulation, wireless power transfer, millimeter size, free-floating neural probes.

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State-of-the-Art Technology on Highly Miniaturized Free-Floating Neural Implants

Khalifa

Etienne‐Cummings²

2021

Handbook of Neuroengineering

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26.9 A 0.19×0.17mm² Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry

Cited by 40 publications

References 7 publications

Soft Electronics Based on Stretchable and Conductive Nanocomposites for Biomedical Applications

Soft Electronics Based on Stretchable and Conductive Nanocomposites for Biomedical Applications

Challenges in Scaling Down of Free-Floating Implantable Neural Interfaces to Millimeter Scale

State-of-the-Art Technology on Highly Miniaturized Free-Floating Neural Implants

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26.9 A 0.19×0.17mm2 Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry

Cited by 40 publications

References 7 publications

Soft Electronics Based on Stretchable and Conductive Nanocomposites for Biomedical Applications

Soft Electronics Based on Stretchable and Conductive Nanocomposites for Biomedical Applications

Challenges in Scaling Down of Free-Floating Implantable Neural Interfaces to Millimeter Scale

State-of-the-Art Technology on Highly Miniaturized Free-Floating Neural Implants

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Product

Resources

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26.9 A 0.19×0.17mm² Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry