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Interconnects and Packaging to Enable Autonomous Movable MEMS Microelectrodes to Record and Stimulate Neurons in Deep Brain Structures


Abstract Long-term monitoring of deep brain structures using microelectrode implants is critical for the success of emerging clinical applications including cortical neural prostheses, deep brain stimulation and other neurobiology studies such as progression of disease states, learning and memory, brain mapping etc. However, current microelectrode technologies are not capable enough of reaching those clinical milestones given their inconsistency in performance and reliability in long-term studies. In all the aforementioned applications, it is important to understand the limitations & demands posed by technology as well as biological processes. Recent advances in implantable Micro Electro Mechanical Systems (MEMS) technology have tremendous pote... (more)
Created Date 2016
Contributor Palaniswamy, Sivakumar (Author) / Muthuswamy, Jitendran (Advisor) / Buneo, Christopher (Committee member) / Abbas, James (Committee member) / Arizona State University (Publisher)
Subject Biomedical engineering / Robotics / Neurosciences / Deep Brain / MEMS / Microbonding / Neual Stimulation / Neural recording / Robots
Type Masters Thesis
Extent 67 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Bioengineering 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis