electronics becomes bioscience
Start with a circuit.Arrive at a signal.
ardEEG brings eight channels of EEG, EMG, and ECG acquisition into the Arduino UNO R4 WiFi ecosystem—an open path from electronics learning to biosignal experiments.
01 / Instrument position
The first biosignal experiment can begin with a familiar board.
ardEEG keeps the learning curve continuous: Arduino handles the code and wireless route while the shield adds the electrode interface and configurable acquisition layer.
02 / Signal route
Upload. Connect. Observe.
The learning experience follows a concrete sequence, from Arduino code to electrode contact and a visible signal.
- 01
ASSEMBLE
Shield the UNO R4
ardEEG connects to the Arduino UNO R4 WiFi as the acquisition layer.UNO / R4 - 02
PROGRAM
Upload the sketch
The open Arduino and Python examples expose the acquisition route to the learner.INO / PY - 03
CONTACT
Connect eight inputs
Wet or dry electrodes can be used for EEG, EMG, or ECG experiments.IN / 08 - 04
OBSERVE
Move data over WiFi
Arduino UNO R4 WiFi provides the wireless route into a computer-side application.WIFI / DATA
03 / Technical dossier
The exact instrument.
Nothing invented.
Specifications are drawn from the official PiEEG documentation and open-source repository.
- Acquisition channels
- 8 01
- Host platform
- Arduino UNO R4 WiFi 02
- Wireless route
- WiFi data transfer 03
- Programmable gain
- 1 / 2 / 4 / 6 / 8 / 12 / 24 04
- Electrode support
- Wet or dry 05
- Electrode check
- Built-in impedance measurement 06
- Supported signals
- EEG · EMG · ECG 07
- Software
- Arduino examples · Python tools 08
04 / Build route
Open the device.
Continue the signal.
ardEEG is not a medical device. When electrodes are connected, the complete Arduino setup must be battery-powered and isolated from mains. Read the safety statement.