Joshua Alexander

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2022-136

May 18, 2022

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-136.pdf

The goal of this project is to measure EEG signals in an MRI during TMS and report the EEG measurements wirelessly. The opportunities combining SoC-based devices with cutting-edge technology are rapidly expanding. A Single Chip Micro-Mote (SCμM) that has been developed as an ultra-small crystal-free SoC opens up the door of possibilities even more. Similarly, brain stimulation and measurement has taken a leap forward as Transcranial Magnetic Stimulation (TMS), Electroencephelography (EEG), and functional Magnetic Resonance Imaging (fMRI) have grown in popularity. A structure that combines all three elements by evaluating the EEG and fMRI brain response to TMS pulses would provide invaluable research opportunities. In order to help facilitate EEG measurements in TMS and fMRI environments, there is a need to pass the data out of the electrodes to an external computer for instant analysis. SCμM’s ability to function in a variety of settings and environments make it an ideal candidate as a component of a system that combines these three practices, TMS, EEG, and fMRI, into combined operation. We were able to verify that SCμM functions during a MRI scan while connected to a printed battery. We were also able to confirm that SCμM does not reset under TMS impulses delivered 1 inch away from SCμM at relative amplitudes of up to 97%. We were unable to test SCμM on a new development board with an EEG analog front end (ADS1299) in an MRI, but we were able to communicate with the ADS1299 via SPI with the Sulu SCμM development board’s GPIO pins.

Advisors: Kristofer Pister

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BibTeX citation:

@mastersthesis{Alexander:EECS-2022-136,
    Author= {Alexander, Joshua},
    Title= {Single-Chip Micro Mote in EEG, fMRI, and TMS Systems},
    School= {EECS Department, University of California, Berkeley},
    Year= {2022},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-136.html},
    Number= {UCB/EECS-2022-136},
    Abstract= {The goal of this project is to measure EEG signals in an MRI during TMS and report the EEG measurements wirelessly. The opportunities combining SoC-based devices with cutting-edge technology are rapidly expanding.  A Single Chip Micro-Mote (SCμM) that has been developed as an ultra-small crystal-free SoC opens up the door of possibilities even more.  Similarly, brain stimulation and measurement has taken a leap forward as Transcranial Magnetic Stimulation (TMS), Electroencephelography (EEG), and functional Magnetic Resonance Imaging (fMRI) have grown in popularity.  A structure that combines all three elements by evaluating the EEG and fMRI brain response to TMS pulses would provide invaluable research opportunities.  In order to help facilitate EEG measurements in TMS and fMRI environments, there is a need to pass the data out of the electrodes to an external computer for instant analysis.  SCμM’s ability to function in a variety of settings and environments make it an ideal candidate as a component of a system that combines these three practices, TMS, EEG, and fMRI, into combined operation. We were able to verify that SCμM functions during a MRI scan while connected to a printed battery.  We were also able to confirm that SCμM does not reset under TMS impulses delivered 1 inch away from SCμM at relative amplitudes of up to 97%.  We were unable to test SCμM on a new development board with an EEG analog front end (ADS1299) in an MRI, but we were able to communicate with the ADS1299 via SPI with the Sulu SCμM development board’s GPIO pins.},
}

EndNote citation:

%0 Thesis
%A Alexander, Joshua 
%T Single-Chip Micro Mote in EEG, fMRI, and TMS Systems
%I EECS Department, University of California, Berkeley
%D 2022
%8 May 18
%@ UCB/EECS-2022-136
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-136.html
%F Alexander:EECS-2022-136