Attributes

Brand	-
Category	Robotics / STEM Teaching Tools / Sensors
Origin	-
Chipset	ThinkGear AM (TGAM)
Interface	UART / TTL Serial
Operating Voltage	3.3V - 5V DC
Sampling Rate	512 Hz
Resolution	12-bit ADC
Compatibility	Arduino, STM32, Raspberry Pi
Electrode Type	Single Channel Dry/Wet Compatible
Output Data	Raw Waveform, Attention, Meditation
Dimensions	45mm x 30mm x 12mm
Weight	8 grams

6 reviews

Anonymous

Mar 26, 2026

Rating: 5/5

Perfect for DIY Neuroscience Projects

This module works flawlessly with my Arduino Uno. The signal quality is surprisingly good for the price point. I was able to visualize raw brainwaves in the serial plotter within an hour of unboxing.

Anonymous

Mar 17, 2026

Rating: 4/5

Solid value for money

For a university project on brain-computer interfaces, this was the perfect budget solution. The library support for Arduino is extensive, making the coding part much easier than anticipated.

Anonymous

Mar 16, 2026

Rating: 5/5

Fast shipping and well packaged

Arrived quickly and was securely packed. The pins were pre-soldered which saved me time. I'm using it to control a simple LED brightness based on focus levels, and it works like a charm.

Anonymous

Mar 11, 2026

Rating: 3/5

Good for learning, limited range

It's a great educational tool to understand EEG basics. However, don't expect medical-grade precision. It picks up a lot of noise if you move your head too much, which is expected for a single-channel consumer sensor.

Anonymous

Mar 11, 2026

Rating: 4/5

Great hardware, needs patience for calibration

The sensor itself is robust and the documentation is decent. It took me a few tries to get the electrode placement right for stable readings, but once calibrated, the attention and meditation metrics are consistent.

Anonymous

Mar 06, 2026

Rating: 5/5

Excellent integration with STM32

I used this with an STM32 Blue Pill board. The UART communication is straightforward. No drivers needed, just direct serial connection. Highly recommended for embedded systems developers.

5 FAQ

Q: Is there a Python library available for reading data on a Raspberry Pi?

A: While we do not provide an official Python library, the community has developed several open-source packages available on GitHub that utilize the serial port to read TGAM data streams on Raspberry Pi.

Q: Does this module come with electrodes or do I need to buy them separately?

A: The module includes a clip-style electrode holder, but you will need to purchase standard 3.5mm jack EEG electrodes or create your own conductive pad setup depending on your specific application needs.

Q: Does this measure heart rate as well or only brainwaves?

A: This sensor is designed specifically for EEG (brainwave) acquisition. It does not measure heart rate or ECG signals; you would need a dedicated pulse sensor for cardiac monitoring.

Q: What is the effective wireless range if I want to make it Bluetooth enabled?

A: This specific module is wired only. To make it wireless, you would need to pair it with a separate Bluetooth module (like HC-05 or BLE). The range would then depend on the Bluetooth module you choose, typically around 10 meters.

Q: Can I connect this directly to a 5V Arduino Nano without a logic level converter?

A: Yes, the TGAM module operates comfortably within the 3.3V to 5V range, so you can connect the TX/RX pins directly to your 5V Arduino Nano without needing a level shifter.

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