PIEEG / IRONBCIWEARABLE INSTRUMENT / W08BLE 5 / ONLINE

IronBCI / signal in motion

Leave the bench.Keep the signal.

IronBCI carries eight channels of open biosignal acquisition into a wearable form—then transmits the data into Python or Android over BLE 5.

Angled view of the circular IronBCI wearable acquisition board
WEARABLE COREØ 50 MMRADIO ROUTEBLE 5
PAIRING250 SPS
Inputs8 channels
Resolution24-bit
Sampling250 SPS
WirelessBLE 5
Diameter50 mm
SoftwarePython · Android

Wearable should describe a capability,
not just a size.

IronBCI relocates acquisition from a fixed bench to the body while keeping the hardware, headset design, and software routes open to the builder.

Body to application.
Without the tether.

The wearable story is one continuous route. Each layer below names what actually happens to the signal.

  1. 01

    BODY

    Wet or dry electrodes

    Eight channels acquire electrical activity for EEG or EMG experiments.
  2. 02

    INSTRUMENT

    Compact conversion

    A 24-bit acquisition system resolves the input at 250 samples per second.
  3. 03

    AIR

    BLE 5 transmission

    The recorded channels leave the wearable instrument over Bluetooth Low Energy 5.
  4. 04

    APPLICATION

    Python or Android

    Open SDK routes bring the stream into desktop or mobile prototypes.
Stacked circular IronBCI wearable acquisition assemblyWEARABLE CORE / STACKED ASSEMBLY

The headset is part of the prototype.

The official repository includes a 3D-printable headset design. IronBCI can work with wet or dry electrodes, giving builders an open physical starting point for headset integration and wearable experiments.

Open the headset files
Top view of the stacked IronBCI assembly
OBJECT / 01Stacked assembly
Angled macro view of the IronBCI circuit board
OBJECT / 02Wearable core

Designed for motion.
Specified without theatre.

These facts come from the official IronBCI product page and open-source repository.

Acquisition channels
8
01
ADC resolution
24-bit
02
Sample rate
250 SPS
03
Wireless transfer
Bluetooth Low Energy 5
04
Electrode support
Wet or dry
05
Supported signals
EEG · EMG
06
Board diameter
50 mm
07
Power consumption
150 mA
08
Software routes
Python SDK · Android SDK
09
Headset
Open 3D-printable design
10

Wear the signal.
Build what follows.

Open the repository Where to use it and how to set it up Route it into PiEEG Server

IronBCI is not a medical device. When electrodes are connected, the device must be battery-powered and isolated from mains. Read the safety statement.