MATLAB Support for BITalino Biosignal Devices
Updated 20 Nov 2023
MATLAB® Support for BITalino™ Biosignal Devices
Use MATLAB Support for BITalino Biosignal Devices to connect and acquire biosignal data from the BITalino (r)evolution board and other BITalino (r)evolution Plugged kits.
Installation and Setup
- Install MATLAB.
- Install MATLAB Support for BITalino Biosignal Devices toolbox using the Add-on explorer in MATLAB, or by downloading the MATLABSupportforBITalinoBiosignalDevices_va.b.c.d.mltbx file attached to the latest release on GitHub, then doubleclicking on it.
Requires MATLAB release - R2023a or later.
Using the MATLAB® Support for BITalino Biosignal Devices Toolbox
To get started, install and look at GettingStartedWithBITalino.mlx for more information on using the toolbox.
|bitalinolist||Scan nearby BITalino devices|
|bitalino||Connection to BITalino hardware using Bluetooth|
|read||Acquire and read data from BITalino|
|writeDigitalPins||Write data to turn on/off digital outputs|
If you see the following error message while connecting to the BITalino device with your Windows machine: "Unable to connect to BITalino. Make sure the device is paired and in range."
- Check if the BITalino device is paired with your machine.
- If pairing exists, unpair your device and reconnect.
The license is available in the license.txt file within this repository.
Copyright 2023 The MathWorks, Inc.
MathWorks MATLAB Hardware Team (2023). MATLAB Support for BITalino Biosignal Devices (https://github.com/mathworks/MATLABSupportforBITalinoBiosignalDevices/releases/tag/v220.127.116.11), GitHub. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
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See release notes for this release on GitHub: https://github.com/mathworks/MATLABSupportforBITalinoBiosignalDevices/releases/tag/v18.104.22.168
See release notes for this release on GitHub: https://github.com/mathworks/MATLABSupportforBITalinoBiosignalDevices/releases/tag/v22.214.171.124