pyneurosdk2 1.0.13

Python wrapper for NeuroSDK2

Python NeuroSDK 2

Welcome to the Python NeuroSDK 2. The Neurosdk library is designed to work with BrainBit, BrainBitBlack, Callibri and Kolibri devices.

Supported Python 3.7 +

Supported platforms:

• Windows 10 +
• Astra Linux
• Ubuntu 22.04
• MacOS 10.14 +

Documentation

• Installing
• Description
• Searching device
• Connection
• Parameters
• BrainBit sensor
• Callibri sensor
• BrainBit 2 sensor
• NeuroEEG sensor
• Clean up

Installing

pip install pyneurosdk2

Linux

Supported:

• Astra Linux
• Ubuntu 22.04

It is necessary to install NeuroSDK2 library before using it:

1. Download NeuroSDK2 libneurosdk2.deb package to your distribution from GitHub
2. Install package:

sudo apt install ./libneurosdk2.deb

Description

The package has the following structure:

• neurosdk - the main package with the implementation of methods
• sample - is into the neurosdk package, file sample.py
• libs - also into neurosdk package, contain dll library files

The library provides three main modules:

• scanner - to search for devices

from neurosdk.scanner import Scanner

• sensor - methods of interaction with the device

from neurosdk.callibri_sensor import CallibriSensor
from neurosdk.brainbit_sensor import BrainBitSensor
from neurosdk.brainbit_2_sensor import BrainBit2Sensor
from neurosdk.brainbit_black_sensor import BrainBitBlackSensor

• types - implementation of all types of the library, you can either connect everything or only those necessary for a specific task

from neurosdk.cmn_types import *

Searching device

The Scanner class is used to search for a device. For a correct search, you must specify the list of device types. You can search for one or more device types at the same time. For example, to search for BrainBit and Callibri, you need to create a scanner as follows:

scanner = Scanner([SensorFamily.LEBrainBit, SensorFamily.LEBrainBit2, SensorFamily.LECallibri])

Search start:

scanner.start()

Stop search:

scanner.stop()

All found devices can be obtained using the method:

sensors = scanner.sensors()

During the search, an sensorsChanged callback will be called, which will display a list of found devices. If the device leaves the scanner's field of view for any reason, the device will disappear from the list after 12 seconds.

def sensorFound(scanner, sensors):
   for i in range(len(sensors)):
       print('Sensor %s' % sensors[i])

scanner.sensorsChanged = sensorFound

The sensor's list will contain records of the SensorInfo type with fields:

• SensFamily: SensorFamily
• SensModel: int
• Name: str
• Address: str
• SerialNumber: str
• PairingRequired: bool
• RSSI: int

Important! The serial number of the Callibri and Kolibri does not appear in the SensorInfo recieving during the search. To get this value, you need to connect to the device and request the serial number manually:

sn = sensor.serial_number

Connection

Next, you can create any device from the list using the method:

sensor = scanner.create_sensor(sensInfo)

When created, the device will connect automatically. This is a blocking function, so it is desirable to call it from an separate thread. Upon successful connection, a sensor instance will be returned. If unsuccessful, an exception is thrown. On subsequent connections and disconnections, a callback will be called indicating the state of the device.

To disconnect from the device, use the following method:

sensor.disconnect()

To connect to a device created but not connected for any reason, the method:

sensor.connect()

It is blocking too.

Parameters

SDK allows you to get information about the connected device:

print(sensor.sens_family)  # SensorFamily.LEBrainBit
print(sensor.features)  # [<SensorFeature.Signal: 0>, ...]
print(sensor.commands)  # [<SensorCommand.StartSignal: 0>,...]
print(sensor.parameters)
print(sensor.name)  # BrainBit
print(sensor.state)  # SensorState.StateInRange
print(sensor.address)  # AA:BB:CC:DD:EE:FF
print(sensor.serial_number)  # 123456
print(sensor.batt_power)  # 50
print(sensor.sampling_frequency)  # SensorSamplingFrequency.FrequencyHz250
print(sensor.gain)  # SensorGain.Gain6
print(sensor.data_offset)  # SensorDataOffset.DataOffset0
print(sensor.version)  # SensorVersion(FwMajor=50, FwMinor=0, FwPatch=0, HwMajor=1, HwMinor=0, HwPatch=0, ExtMajor=65)

You can distinguish BrainBit device from Flex by the firmware version number: if the SensorVersion.FwMajor is more than 100 - it's Flex, if it's less than BrainBit.

If you need to change any property, you first need to check if it is writable. This can be done by reading the list of device parameters, where each parameter will have an access level:

[ParameterInfo(Param=<SensorParameter.Offset: 8>, ParamAccess=<SensorParamAccess.Read: 0>),  
 ParameterInfo(Param=<SensorParameter.State: 1>,  ParamAccess=<SensorParamAccess.ReadNotify: 2>)
 ...]

And also check the support of certain modules:

sensor.is_supported_feature(sensor_future)
sensor.is_supported_command(sensor_command)
sensor.is_supported_parameter(sensor_parameter)

BrainBit, BrainBitBlack, Flex

Gain

You can set gain parameter to BrainBit sensor:

sensor.gain = SensorGain.Gain3

Receiving signal

You can get the signal value using the callback:

def on_brain_bit_signal_data_received(sensor, data):
    print(data)

sensor.signalDataReceived = on_brain_bit_signal_data_received

sensor.exec_command(SensorCommand.StartSignal)
sensor.exec_command(SensorCommand.StopSignal)

After you have finished working with the signal, you can unsubscribe from the callback as follows:

sensor.signalDataReceived = None

It gives a list of packages. Each package contains:

• PackNum: int
• Marker: int
• O1: float
• O2: float
• T3: float
• T4: float

It is values from 4 channels in volts, a number for each packet and a marker if it was sent and this feature is supported by the device.

Receiving resistance

To get resistance values:

def on_brain_bit_resist_data_received(sensor, data):
    print(data)


sensor.resistDataReceived = on_brain_bit_resist_data_received

sensor.exec_command(SensorCommand.StartResist)
sensor.exec_command(SensorCommand.StopResist)

The callback returns one packet of samples, each packet contains the resistance values in volts:

• O1: float
• O2: float
• T3: float
• T4: float

After you have finished working with the resistance, you can unsubscribe from the callback as follows:

sensor.resistDataReceived = None

BrainBit cannot be in the resistance and signal readout mode at the same time, so you must first get the resistance values, but only after this signal, or vice versa. For example:

sensor.exec_command(SensorCommand.StartResist)
sleep(10)
sensor.exec_command(SensorCommand.StopResist)
...
sensor.exec_command(SensorCommand.StartSignal)
sleep(10)
sensor.exec_command(SensorCommand.StopSignal)

BrainBit 2

Setup parameters

You can configure each channel and whole device settings by setting amplifier parameters.

amp_param = sensor.amplifier_param  # current amplifier params
ch_count = sensor.channels_count    # channels count of devices
# setup Gain
amp_param.ChGain = [SensorGain.Gain6 for i in range(ch_count)]
# and other parameters
# amp_param.ChSignalMode = [BrainBit2ChannelMode.ChModeNormal for i in range(ch_count)]
# amp_param.ChResistUse = [True for i in range(ch_count)]
# amp_param.Current = GenCurrent.GenCurr6nA
sensor.amplifier_param = amp_param

Current - setting parameters of the probe current generator:

• GenCurr0nA
• GenCurr6nA
• GenCurr12nA
• GenCurr18nA
• GenCurr24nA
• GenCurr6uA
• GenCurr24uA
• Unsupported

Signal modes:

• Short - shorted input
• Normal - bipolar input mode (used for EEG)

Resist use - doesn't used for current device version

Gain - gain of an ADC signal for each channel.

Info about channels

The device can have 4 or 8 channels. To determine how many and which channels they are, you need to use the supported_channels property:

supported_channels = sensor.supported_channels

EEGChannelInfo contains some info:

• Id - EEGChannelId type - physical location of the channel. Possible values:
  • Unknown
  • O1
  • P3
  • C3
  • F3
  • Fp1
  • T5
  • T3
  • F7
  • F8
  • T4
  • T6
  • Fp2
  • F4
  • C4
  • P4
  • O2
  • D1
  • D2
  • OZ
  • PZ
  • CZ
  • FZ
  • FpZ
  • D3

IIn most cases, you will receive the values O1, O2, T3, T4 or Unknown. Unknown means that the position of a specific electrode is free.

• ChType - EEGChannelType type - type of channel, possible values A1, A2, Differential or Referent
• Name - String type - channel name
• Num - number type - channel number. By this number the channel will be located in the array of signal or resistance values

AmpMode

This device can show it's current amplifier mode. It can be in the following states:

• Invalid
• PowerDown
• Idle
• Signal
• Resist
• SignalResist
• Envelope

You can check amp. mode by two ways:

1. by callback:

def on_amp_mode_changed(sensor, mode):
    print('Amp mode: {0}'.format(mode))
    
    
sensor.sensorAmpModeChanged = on_amp_mode_changed

2. get value at any time:

mode  = sensor.amp_mode

It is very important parameter for BrainBit2 device because you can set amplifier parameters only if device into PowerDown or Idle mode.

Receiving signal

To receive signal data, you need to subscribe to the corresponding callback. The values come in volts. In order for the device to start transmitting data, you need to start a signal using the execute command. This method is also recommended to be run in an separate thread.

def on_signal_data_received(sensor, data):
    print(data)

sensor.signalDataReceived = on_signal_data_received

After you have finished working with the signal, you can unsubscribe from the callback as follows:

sensor.signalDataReceived = None

It gives a list of packages SignalChannelsData. Each package contains:

• PackNum: int - number for each packet
• Marker: int - marker of sample
• Samples: [float] - array of samples in V. Each sample number into array consistent with Num value of EEGChannelInfo from supported_channels property.

Receiving resistance

To get resistance values:

def on_brain_bit_2_resist_data_received(sensor, data):
    print(data)


sensor.resistDataReceived = on_brain_bit_2_resist_data_received

sensor.exec_command(SensorCommand.StartResist)
sensor.exec_command(SensorCommand.StopResist)

You get resistance values structure of samples (ResistRefChannelsData) for each channel:

• PackNum: int - number for each packet
• Samples: [float] - array of values in Ohm. Each sample number into array consistent with Num value of EEGChannelInfo from supported_channels property.
• Referents: [float] - array of values for referents channels. For BrainBit2 sensor is empty now.

After you have finished working with the resistance, you can unsubscribe from the callback as follows:

sensor.resistDataReceived = None

Callibri, Kolibri

Receiving signal

You can get the signal value using the callback:

def on_callibri_signal_data_received(sensor, data):
   print(data)

sensor.signalDataReceived = on_callibri_signal_data_received

After you have finished working with the signal, you can unsubscribe from the callback as follows:

sensor.signalDataReceived = None

It gives a list of packages. Each package contains:

• PackNum: int
• Samples: [float]

It is values in volts and a number for each packet.

Electrodes connection

Electrode placement check is available for Callibri and Kolibri devices. This data shows whether the electrodes are attached to the skin.

def onCallibriElectrodeStateChanged(sensor, data):
   print(data)

sensor.electrodeStateChanged = onCallibriElectrodeStateChanged

For unsubscribe from callback:

sensor.electrodeStateChanged = None

Electrodes state can be one of values of enum:

• ElStNormal = 0
• ElStHighResistance = 1
• ElStDetached = 2

To get the state of the electrodes, you need to start a signal from the device.You can receive electrode and signal values at the same time.

NeuroEEG (DragonEEG)

NeuroEEG-M requires pairing with a PC/mobile device. So, before connecting to device, you must put it into pairing mode. SDK starts the pairing process automatically.

Allows for long-term monitoring of brain biopotentials through 21 channels, with parallel registration of three polygraphic channels: ECG, EMG and EOG.

NeuroEEG-M device supports the next signal frequencies:

• 1000 Hz
• 500 Hz
• 250 Hz

And gain values:

• 1
• 2
• 4
• 6
• 8
• 12
• 24

Info about channels

NeuroEEG device has 24 channels. You can get channels count by channels_count property. Get channels count:

ch_count = sensor.channels_count

Receive supportes channels info:

supported_channels = sensor.supported_channels

EEGChannelInfo contains some info:

• Id - EEGChannelId type - physical location of the channel. Possible values:
• O1
• P3
• C3
• F3
• Fp1
• T5
• T3
• F7
• F8
• T4
• T6
• Fp2
• F4
• C4
• P4
• O2
• D1
• D2
• OZ
• PZ
• CZ
• FZ
• FpZ
• D3
• ChType - EEGChannelType type - type of channel, possible values A1, A2, differential or referent
• Name - str type - channel name
• Num - int type - channel number. By this number the channel will be located in the array of signal or resistance values

AmpMode

This device can show it's current amplifier mode. It can be in the following states:

• Invalid
• PowerDown
• Idle
• Signal
• Resist
• SignalResist
• Envelope

You can check amp. mode by two ways:

1. by callback:

def on_amp_mode_changed(sensor: Sensor, mode: SensorAmpMode):
    print('Amp mode: {0}'.format(mode))

sensor.sensorAmpModeChanged = on_amp_mode_changed

2. get value at any time:

mode = sensor.amp_mode

It is very important parameter for NeuroEEG-M device because you can set amplifier parameters only if device into PowerDown or Idle mode.

Amplifier params

After connecting the device, it is absolutely necessary to configure the parameters of the amplifier. If this is not done, the signal and resistance values will be 0.0 or will not appear at all.

ch_count = sensor.channels_count
amp_param = sensor.amplifier_param
amp_param.ReferentResistMesureAllow = True
amp_param.Frequency = SensorSamplingFrequency.FrequencyHz500
amp_param.ChannelGain = [SensorGain.Gain3 for i in range(ch_count)]
amp_param.ChannelMode = [EEGChannelMode.EEGChModeSignalResist for i in range(ch_count)]
sensor.amplifier_param = amp_param

Channel modes:

• SignalResist - device will be sent signal and resist values simultaneously
• Signal - device will be sent only signal values, channel resistance will not be measured even if the resistance measurement mode is started in the device
• Shorted - channel is shorted to ground, this mode can be used to analyze intrinsic noise of the device
• Test - this channel will receive a test signal
• Off - channel is disabled, no data from it

Referent modes:

• A1A2 - both A1 and A2 references are available
• HeadTop - only one reference is available, the resistance data is placed in field A1

ReferentResistMesureAllow - flag, allows resistance measurement by references (if true, the signal is not valid)

Receiving signal

To receive signal data, you need to subscribe to the corresponding callback. The values come in volts. In order for the device to start transmitting data, you need to start a signal using the execute command. This method is also recommended to be run in an separate thread.

The sampling rate can be controlled using the Frequency value of amplifier parameters. For example, at a frequency of 1000 Hz, the device will send about 1000 samples per second. Supports frequencies 250/500/1000 Hz. You can also adjust signal power (Gain) value for each channel.

def on_signal_data_received(sensor: Sensor, data: list[SignalChannelsData]):
    print(data)

sensor.signalDataReceived = on_signal_data_received
sensor.exec_command(SensorCommand.StartSignal)
...
sensor.signalDataReceived = None
sensor.exec_command(SensorCommand.StopSignal)

You get signal values as a list of samples, each containing:

• PackNum - number for each packet
• Marker - marker of sample
• Samples - array of samples in V. Each sample number into array consistent with Num value of EEGChannelInfo from supported_channels property.

Receiving resistance

NeuroEEG also allow you to get resistance values. With their help, you can determine the quality of the electrodes to the skin. Initial resistance values are infinity. The values change when the device is on the head.

def on_resist_data_received(sensor: Sensor, data: list[ResistChannelsData]):
    print(data)

sensor.resistDataReceived = on_resist_data_received
sensor.exec_command(SensorCommand.StartResist)
...
sensor.resistDataReceived = None
sensor.exec_command(SensorCommand.StopResist)

You get resistance values structure of samples for each channel:

• PackNum - number for each packet
• A1 - value of A1 channel in Ohm
• A2 - value of A2 channel in Ohm
• Bias - value of Bias channel in Ohm
• Values - array of values in Ohm. Each sample number into array consistent with Num value of EEGChannelInfo from getSupportedChannels() method.

Receiving signal and resistance

This device supports capturing signal and resistance at the same time.

NOTE: In this mode resistData may not arrive every update of the SignalResistReceived callback.

def on_signal_resist_data_received(sensor: Sensor, signal: list[SignalChannelsData], resist: list[ResistChannelsData]):
    print('Signal: {0}'.format(signal))
    print('Resist: {0}'.format(resist))

sensor.signalResistDataReceived = on_signal_resist_data_received
sensor.exec_command(SensorCommand.StartSignalAndResist)
...
sensor.signalResistDataReceived = None
sensor.exec_command(SensorCommand.StopSignalAndResist)

Clean up

After you finish working with the device, you need to clean up the resources used. This happens in the destructor of the scanner and sensor, so if they were not called by the system, you must call them manually.

del sensor
del scanner