signalino

Native Python API for Signalino EEG devices. It connects directly over USB, Bluetooth Classic or Bluetooth LE and decodes the Signalino S4CP control protocol and stable 33-byte OpenBCI-compatible EEG frames.

This package does not depend on BrainFlow. Applications that specifically need the BrainFlow API can install the separate brainflow-signalino integration.

Signalino is research software. It is not a medical device and must not be used for diagnosis or patient monitoring.

Installation

python -m pip install signalino

Python 3.10 or newer is supported on macOS, Linux and Windows. Optional integrations are installed separately:

python -m pip install "signalino[lsl]"
python -m pip install "signalino[mne]"
python -m pip install "signalino[viewer]"

USB

import time

from signalino import Signalino

with Signalino.usb() as device:
    print(device.info.name, device.info.hardware)
    device.start_streaming()
    time.sleep(2)
    eeg_uv = device.get_data()

print(eeg_uv.shape)  # (8, approximately 500)

Signalino.usb() chooses the most probable port. Select it explicitly when several boards are connected:

device = Signalino.usb("/dev/cu.usbmodem1101")  # macOS
device = Signalino.usb("/dev/ttyACM0")  # Linux
device = Signalino.usb("COM3")  # Windows

Bluetooth Classic

Pair the HC-06 (or equivalent serial Bluetooth module) with the computer first:

with Signalino.bluetooth_classic() as device:
    device.start_streaming()

The package finds likely paired serial ports automatically. An explicit port can also be passed to Signalino.bluetooth_classic(port).

On macOS, Classic Bluetooth uses the native RFCOMM helper installed with Signalino Suite. Its location can instead be supplied through the SIGNALINO_CLASSIC_CONNECT environment variable. Linux normally exposes /dev/rfcomm0; Windows exposes a paired COM port.

Bluetooth LE

with Signalino.ble("Signalino-852960") as device:
    device.start_streaming()

Use Signalino.ble() when only one Signalino is advertising. With several units in the room, select one by advertised name or address:

Signalino.ble(name="Signalino-852960")
Signalino.ble(address="AA:BB:CC:12:34:56")

Data and losses

get_data() returns microvolts as a NumPy array shaped (channels, samples). It consumes the oldest samples by default. Use clear=False to inspect without consuming:

latest = device.get_data(250, clear=False)
batch = device.get_data_batch()
print(batch.samples_uv, batch.timestamps)

print(device.stats.received_samples)
print(device.stats.lost_samples)
print(device.stats.loss_percent)

The package validates frame headers and footers, recovers alignment after corrupt input, and uses the 8-bit sample counter to detect losses and duplicates. Buffers are bounded and LSL does not consume data requested by get_data().

Battery, impedance and sensors

battery = device.battery()
print(battery.volts, battery.percent, battery.charging)

impedance = device.impedance()
print(impedance.kiloohms)

auxiliary = device.get_auxiliary_data()
print(auxiliary.raw_values, auxiliary.packet_types)

Normal EEG acquisition pauses while impedances are measured and resumes automatically afterward. USB and Bluetooth Classic share control and binary data on one serial channel, so battery queries on those transports also require streaming to be stopped. BLE has separate control and EEG characteristics.

Hardware, firmware, available sensors and capabilities are reported by the physical unit through device.info; they are not inferred from a board number.

S4CP control

High-level operations use S4CP internally. Documented low-level commands remain available for diagnostics:

print(device.command("STS;"))
device.command("SRC1;SMP250;GAN24;")

Control replies are compact strings such as STS SRC=1 REC=0 SMP=250 ...;. The EEG data plane remains the 33-byte OpenBCI-compatible frame.

LSL

device.start_streaming()
stream = device.start_lsl()
print(stream.name, stream.source_id)

The LSL outlet contains eight float32 EEG channels in microvolts and closes automatically when acquisition stops.

MNE

raw = device.to_mne(clear=False)
print(raw.info["sfreq"])

MNE stores EEG in volts; conversion from Signalino microvolts is automatic.

Examples

The examples/ directory contains minimal USB, BLE and Bluetooth Classic programs, an LSL publisher, impedance acquisition, MNE conversion, a rolling viewer, and a Classic Bluetooth loss measurement.

For local development:

python -m pip install -e ".[dev,all]"
ruff check .
ruff format --check .
pytest --cov=signalino
python -m build
twine check dist/*

License

MIT. Copyright Scignals 2026.