re: BioEra, correct. Pete's protocols are not BioEra compatible. But since his designs are open and viewable, can be translated to BioEra designs if you have the technical savvy to do that. BioEra is

Mentioning Joel @biomurph and AJ @pushtheworld . Colin, were you seeing these bursts in the Brooklyn lab, or is this at your current location in Rochester? Old or new firmware? From your and Vaibhav's

The current OpenBCI and new Ganglion will be supported by programs such as neuromore, BrainBay, BioEra, etc. All of these are what are called VPL's, Visual Programming Languages. Which let you setup c

Are you using OpenBCI_GUI or some other program? For example with the GUI CSV file, it's easy to discard columns that are unused. Another example with neuromore or BrainBay, you just do not wire up th

Bear in mind that if you are using a framework such as OpenViBE, neuromore, BrainBay, etc. which consumes the raw EEG data via the dongle -- then it is usually much easier to do your filtering and sig

About pulse - pulse detection algorithm for ECG looks fine and probably I`ll try translate that to neuromore. 

I should add that I think neuromore now supports Bluetooth heart rate chest straps, such as the Polar H7. So that could give you the EEG plus heart rate / HRV / R-R intervals. If you encode your press

Neuromore has some designs for this as well.

The current OpenBCI boards have BioEra support. And @jarek Foltynski (BioEra author) offers excellent customer support for adding new devices and responding to questions or fixes. I use Pocket-Neurobi

The VPL's such as BrainBay, neuromore, OpenViBE, BioEra, etc., can do a lot of the filtering and signal processing for you, without dipping into source code.

Try some Google searches on Unity 3D and various VPLs such as Max, Pure Data, VVVV. 'neuromore' can output an OSC stream from the connection to the OpenBCI board. As well as doing some signal processi

(1) have you considered using a VPL such as neuromore, BrainBay, or OpenViBE to create your filters and threshold detector? No firmware changes are needed for doing any arbitrary signal processing in

You could also try a test with 'neuromore'. Use the search box at right for a tutorial.

Use the search box at right to lookup: neuromore, BrainBay and OpenViBE. These are all VPL, visual programming languages that allow you to do signal processing without programming.

If your Arduino sends out packets in OpenBCI format, all of the other OpenBCI compatible apps should work, such as neuromore, etc.

I believe neuromore can output and consume OSC streams, it has VERY featureful GUI presentation graphs.

Both using OpenViBE. The reason I mentioned BrainBay and neuromore (both free, as is OpenViBE), is that they will be easier to start with and understand than jumping right into ERPs. If you look throu

I suggest you look over this neurofeedback tutorial using BrainBay. It will give you some ideas about how the filters are used and measured. The EEG bands can be derived either from an FFT or from a d

The OpenBCI_GUI source code is an excellent starting point to see how the raw data is filtered and transformed into FFT, etc. Other apps exist such as neuromore, BrainBay, BioEra, OpenViBE, etc. that

If you are looking to do your own data analysis live in realtime, consider exploring one of the VPL (Visual Programming Language) apps such as neuromore or BrainBay. Use the search box at lower right