%% instantiate the library

disp('Loading the library...');

lib = lsl_loadlib();

% resolve a stream...

disp('Resolving an EEG stream...');

result = {};

while isempty(result)

result = lsl_resolve_byprop(lib,'type','EEG'); end

% create a new inlet

disp('Opening an inlet...');

inlet = lsl_inlet(result{1});

disp('Now receiving data...');

for i=1:-1:0

% get data from the inlet

[vec1,ts1] = inlet.pull_sample();

[vec2,ts2] = inlet.pull_sample();

[vec3,ts3] = inlet.pull_sample();

[vec4,ts4] = inlet.pull_sample();

[vec5,ts5] = inlet.pull_sample();

[vec6,ts6] = inlet.pull_sample();

[vec7,ts7] = inlet.pull_sample();

[vec8,ts8] = inlet.pull_sample();

% and display it

fprintf('%.2f\t',vec1);

fprintf('%.2f\t',vec2);

fprintf('%.2f\t',vec3);

fprintf('%.2f\t',vec4);

fprintf('%.2f\t',vec5);

fprintf('%.2f\t',vec6);

fprintf('%.2f\t',vec7);

fprintf('%.2f\t',vec8);

end

"""Example program to show how to read a multi-channel time series from LSL."""

import time

from pylsl import StreamInlet, resolve_stream, StreamInfo, StreamOutlet

# first resolve an EEG stream on the lab network

print("looking for EEG stream...")

streams = resolve_stream('type', 'EEG')

# create a new inlet to read from the stream

inlet = StreamInlet(streams[0])

rows, cols = (8, 125)

samples = [[0 for i in range(cols)] for j in range(rows)]

# create a new outlet

info = StreamInfo('eeg_stream2', 'EEG2', 1, 250, 'float32', 'myuidemgemg')

outlet = StreamOutlet(info)

while True:

# get a new sample (you can also omit the timestamp part if you're not

# interested in it)

for i in range(0, 8):

samples[i], timestamp = inlet.pull_sample()

sums = [0] * 8

for y in range(0, 8):

for x in range(100, 125):

sums[y] += samples[y][x]

for j in range(0, 8):

sums[j] /= 25

print(sums[j])

for sample in sums:

outlet.push_sample([sample])

time.sleep(0.004)