This project is coming soon. Sign up to receive updates and be notified when this project launches.
The HEGduino V2 is the follow-up to the successful HEGduino V1. The HEGduino V2 provides the kind of state-of-the-art signal quality you should expect from new hardware, and improves on the software platform for affordable, adaptive, and open source BCI.
The HEGduino V2 device doubles as a pulse oximeter and an FNIRS/HEG device. The tiny flexible board form factor may be used either in a headset or in foldable pulse oximeters. You can get the breakout boards standalone for your DIY projects.
Our assembled kit comes with our flexible MAX86141 breakout board mounted on a simple headset with an ESP32 board with battery support, to allow the device to be worn wirelessly and with a more low profile design than the V1 HEGduino. It can be fully disassembled for repurposing or repair, too.
The HEGduino V2 comes with a free, easy to use mobile or desktop biofeedback webapp, with API support that has been evolving all 2020 since the initial HEGduino release, and will continue being innovated on. You can demo it now already at https://hegalomania.netlify.app, expect drastic improvements as we continue development, including a total redesign being released within the next couple months to mesh with the FreeEEG32 software we’ve developed to support the upcoming release.
The HEGduino V2 comes fully assembled and ready to use with the custom, flexible MAX86141 sensor and an ESP32 with wireless Wi-Fi or BT communication and battery support. The sensor and microcontroller are attached together on a flex piece which attaches to the headset. They are placed on stacking headers so the devices can be disassembled and repurposed or cheaply repaired. Otherwise, the standalone breakout boards come with headers ready to be soldered.
What’s different from the HEGduino V1?
Schematics, designs, firmware, software, and a new whitepaper are all available on GitHub.
Visit our home page HEG Alpha
This is an open science project dedicated to making brain technology more widely accessible.