EEG + scalp temperature + scalp oximetry

I want to be able to record EEG, scalp temperature and scalp oximetry.
I am using the Cyton board for the EEG. I am planning on using arduino for the scalp temperature and oximetry. Is this the best way to go about this?

Comments

  • Yes. Scalp temperature and oximetry tend to change at their fastest over seconds to tenths of seconds, so sync of your devices should not matter nearly as much as it does with evoked potentials with millisecond sensitivity. You could get adequate synchronization by just syncing the clocks to the same time server prior to the run.

  • Thanks Billh

    Do you have any advice as to what arduino product would be best for this application?

  • wjcroftwjcroft Mount Shasta, CA

    Sam & Bill, hi.

    You might find this open source project has parallels to what you are doing. HEG uses the same oximetry ideas as regular oximeters, but is intended to register changes in cerebral blood flow.

    https://www.crowdsupply.com/alaskit/hegduino

    Developed by Josh Brewster in Alaska.

    https://github.com/moothyknight/HEG_ESP32

    I have the V1 beta test version. Source code is above, and just uses Adafruit Feather or Lolin uC. Sensor is an OPT101. Note that this is real reflectance oximetry, not the usual transmissive at finger or earlobe. The spacing of the sensor and LEDs might determine how deep it is sensing. This HEG is intended to measure cerebral surface. Josh could answer further questions.

    Regards, William

  • Hi Wiliam
    That looks like a very interesting project.
    I am not interested in neurofeedback but I could probably still use their sensor.
    How can I get in touch with Josh?
    Kind regards
    Sam

  • wjcroftwjcroft Mount Shasta, CA

    Sam, it's a general purpose reflectance oximeter, intended for biofeedback applications. But could be calibrated for SpO2 readout, if you do that yourself. I'll PM you Josh's email.

  • Samvb,

    I would suggest a 32-bit version Arduino compatible with your sensor. Though I generally recommend the Raspberry Pi over Arduino for more complex apps, since it allows broader programming options.

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