Design and prototype of a trimodal, wireless, neural interface device with electrical and electrochemical neural recording

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dc.contributor.advisorJia, Yaoyao
dc.creatorChen, Sharon Xiangyi
dc.creator.orcid0009-0004-1735-2237
dc.date.accessioned2023-07-07T14:35:15Z
dc.date.available2023-07-07T14:35:15Z
dc.date.created2023-05
dc.date.issued2023-04-21
dc.date.submittedMay 2023
dc.date.updated2023-07-07T14:35:17Z
dc.description.abstractThis report describes the design and prototype process of a wireless neural interface device that enables electrical and electrochemical data monitoring and closed-loop optogenetic stimulation to neural tissue through a graphical user interface (GUI). This system is designed to monitor and stimulate dopamine concentration in brain tissue. The electrical sensing front-end amplifies signals from 1Hz to 200Hz with a mid-band gain of 60dB (1000V/V). The chemical sensing front-end features an FSCV waveform generator with a 400V/s scan rate and a voltage sweep range of -0.25V to 1.36V. The optogenetic stimulation unit is a wirelessly controlled LED configurable for frequencies between 1Hz to 10Hz and an on-pulse time between 1 ms and 10 ms. The data acquisition rate for electrical and electrochemical sensing is 1kHz with 12-bit resolution. The wireless GUI connects to the neural interface device with a bidirectional wireless BLE link.
dc.description.departmentElectrical and Computer Engineering
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2152/120378
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/47246
dc.language.isoen
dc.subjectNeural recording
dc.subjectBiomedical electronics
dc.subjectElectrochemical devices
dc.subjectBody sensor networks
dc.subjectAnalog front end
dc.subjectProgrammable stimulation
dc.subjectMultifunctional
dc.titleDesign and prototype of a trimodal, wireless, neural interface device with electrical and electrochemical neural recording
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Engineering

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