mne-realtime

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Realtime data analysis with MNE-Python

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# MNE-realtime

> [!WARNING]
> This project is discontinued in favor of [MNE-LSL](https://github.com/mne-tools/mne-lsl).
> At the moment, [MNE-LSL](https://github.com/mne-tools/mne-lsl) replaces the ``LSLClient``
> and does not yet support the FieldTrip buffer.

This is a package for realtime analysis of MEG/EEG data with MNE.
The documentation can be found here:

- [Examples](https://mne.tools/mne-realtime/auto_examples/index.html)
- [API](https://mne.tools/mne-realtime/api.html)

## Dependencies

* [numpy](https://numpy.org)
* [scipy](https://scipy.org)
* [MNE](https://mne.tools)

## Installation

We recommend the Anaconda Python distribution. We require that you use Python 3.
You may choose to install mne-realtime via pip.

Besides ``numpy`` and ``scipy`` (which are included in the standard Anaconda
installation), you will need to install the most recent version of ``MNE``
using the ``pip`` tool:

```
$ pip install -U mne
```

Then install ``mne-realtime``:

```
$ pip install https://api.github.com/repos/mne-tools/mne-realtime/zipball/main
```

These ``pip`` commands also work if you want to upgrade if a newer version of
``mne-realtime`` is available. If you do not have administrator privileges on the
computer, use the ``--user`` flag with ``pip``.

## Quickstart

```
info = mne.io.read_info(op.join(data_path, 'MEG', 'sample',
                        'sample_audvis_raw.fif'))
with FieldTripClient(host='localhost', port=1972,
                     tmax=30, wait_max=5, info=info) as rt_client:
    rt_epochs = RtEpochs(rt_client, event_id, tmin, tmax, ...)
    rt_epochs.start()
    for ev in rt_epochs.iter_evoked():
        epoch_data = ev.data

# or alternatively, get last n_samples
    rt_epoch = rt_client.get_data_as_epoch(n_samples=500)
    continuous_data = rt_epoch.get_data()
```

The ``FieldTripClient`` supports [multiple vendors through the FieldTrip buffer](http://www.fieldtriptoolbox.org/development/realtime/implementation/).
It can be replaced with other clients such as ``LSLClient``.
See [API](https://mne.tools/mne-realtime/api.html) for a list of clients.

## Bug reports

Use the [github issue tracker](https://github.com/mne-tools/mne-realtime/issues)
to report bugs.

mne-realtime

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