Brown University

Development of Application-Specific Integrated Circuits for Multi-modal, Closed-loop Neural Prosthetic Devices

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Abstract:
Neural Prosthetics are devices that are able to record brain activity and use it to manipulate the environment in a meaningful way. These devices have immense potential for use in patients suffering from neurological illnesses or injuries that have disrupted normal neural pathways. The success of a neural prosthetic device critically relies on the availability of robust long-term access to the brain. This is achieved through a combination of biocompatible sensing probes and integrated electronics platforms. This dissertation addresses the latter by describing the design and testing of custom integrated circuits (ASICs) in three important arenas of implantable, wireless closed-loop neuroprosthetics. Iterative design of a multichannel, low-noise, low-power neural recording amplifier is described in the first part of this work, with special focus on the considerations for migration of the design initially implemented in AMI 1.5μm 1P2M CMOS process to ON-Semi 0.5μm 2P3M CMOS process. The second part of this work focuses on an ASIC approach for long-term interrogation of chronic implants through impedance spectroscopy. Implementation of an ASIC design utilizing a user-programmable on-chip AC voltage source (operating in 1Hz- ~10 kHz range) with individual channel addressability is described, and wideband Impedance Spectroscopy data from benchtop, in-vitro and in vivo characterizations and validation are discussed. The final section of this thesis addresses the development of a closed-loop (bidirectional) neural prosthesis, focusing on the design of an 8-bit current-steering digital to analog converter (DAC) for patterned Intracortical microstimulation. Simulation and benchtop test data is described, with particular focus on challenges to in-vivo translation.
Notes:
Thesis (Ph. D.)--Brown University, 2016

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Citation

Laiwalla, Farah, "Development of Application-Specific Integrated Circuits for Multi-modal, Closed-loop Neural Prosthetic Devices" (2016). Biomedical Engineering Theses and Dissertations. Brown Digital Repository. Brown University Library. https://doi.org/10.7301/Z0T43RJ9

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