Beyond Arduino Nano!

Up to this point, we’ve been showing off the capabilities of BioAmp EXG Pill when it’s used with an Arduino Nano (ATMega328P @ 16 MHz), which is enough for most projects. However, it can do even more when paired with other development boards. One of our beta testers, Rameet Singh Sachar, used a Raspberry Pi Zero and BioAmp EXG Pill to create an image-capture machine that can be controlled with the blink of an eye!

Extending Our Campaign by Two Weeks

In short, we are running behind our planned project-update schedule, and we want to share more information and examples so that you can see the capabilities of BioAmp EXG Pill. We are doing our best to catch up to our planned schedule and are determined to use this additional time to make our campaign a huge success! In consultation with Crowd Supply, we have determined that two weeks should be enough time for us to churn out some really good content. We hope you enjoy it!

Among other things, we plan to add a final, production image to our campaign page and demonstrate BioAmp EXG Pill’s compatibility with MCUs like Adafruit’s qtpy, Raspberry Pi’s pico, Espressif’s ESP32, BeagleBoard’s SBCs, STM32 Blue pill, and others!

Oh, and don’t worry: this extension will not affect our estimated ship date.

We Can Do Much Better With a Little More Help!

We’ve put many hours into making this project a reality, and if you like what we’re doing, please support our work by backing the project or by sharing it with a friend who might need a BioAmp EXG Pill. We need your help to make this campaign a hit!

BioAmp EXG Pill is an all-in-one package capable of replacing many different dev boards that you might purchase to record various biopotential signals. If you go with BioAmp EXG Pill, you won’t have to buy dedicated hardware for ECG, EMG, EOG, and EEG projects. We recommend you buy a two-pack!

To get a better idea of what BioAmp EXG Pill can do, see our previous project updates:

1. What is it?
2. Supportive Technology
3. Electrooculography (EOG) Walkthrough
4. Electromyography (EMG) Walkthrough