pieeg-club/ironbci

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

What it solves

ironbci provides a low-cost, open-source platform for brain-computer interface (BCI) prototyping. It removes the expensive barriers to entry for neurotechnology by providing integrated hardware and software tools to capture brain activity.

How it works

The system consists of a wearable device with 8 channels that supports both dry and wet electrodes. It transmits brainwave data via Bluetooth Low Energy (BLE) at a sampling rate of 250 samples per second. The project includes a mobile app (Android SDK) and a Python SDK to allow developers to process and program the BCI interface.

Who it’s for

Researchers, developers, and neurotech hobbyists who need an affordable way to record EEG data and build BCI applications.

Highlights

  • 8-Channel Support: Captures data from multiple points on the scalp.
  • Dual Electrode Compatibility: Works with both dry Ag/AgCl electrodes (no gel required) and wet electrodes.
  • Cross-Platform SDKs: Includes dedicated software kits for both Python and Android.
  • BLE Connectivity: Uses Bluetooth Low Energy for wireless, wearable operation.

Related

  • Project
    NeuroTechX/moabb

    A comprehensive benchmarking framework for Brain-Computer Interface (BCI) algorithms applied to freely available EEG datasets to ensure research reproducibility.

  • Dispatch
    Meta Brain2Qwerty: Non-Invasive Brain-to-Text Communication

    Meta's Brain2Qwerty research demonstrates an improved non-invasive method for translating brain waves into text, utilizing open-source code and datasets to advance human-computer interaction.

  • Project
    brainflow-dev/brainflow

    A uniform SDK for obtaining, parsing, and analyzing data from biosensors such as EEG, EMG, and ECG, simplifying the development of neurointerfaces.

  • Project
    ob-f/OpenBot

    OpenBot is an open-source project that turns Android smartphones into robot brains, enabling low-cost autonomous navigation and person following.

  • Project
    espressif/esp-brookesia

    A full-stack development platform for AIoT and HMI products that decouples hardware from software to enable scalable app deployment and AI agent integration on ESP devices.