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0925LSLReceiverSample.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@Time ： 2023/9/20 16:56
@Author ： FANG Junying
@Email ： [email protected],[email protected]
@File ：LSLReceiverSample.py
@ Versions:
v1.0: 2023-09-20，read lsl streamer
@ Copyright (c) 2016 Neuracle, Inc. All Rights Reserved. http://neuracle.cn/
"""
from pylsl import StreamInlet, resolve_stream
import matplotlib.pyplot as plt
import numpy as np
def readMarkersStreamer():
# first resolve a marker stream on the lab network
print("looking for a marker stream...")
streams = resolve_stream('type', 'Markers')
# create a new inlet to read from the stream
inlet = StreamInlet(streams[0])
trg = []
while True:
# get a new sample (you can also omit the timestamp part if you're not
# interested in it)
sample, timestamp = inlet.pull_sample()
print("got %s at time %s" % (sample[0], timestamp))
thisTrg = int(sample[0])
trg.append(thisTrg)
#### a condition used to break loop, you can modify it
if thisTrg == 255:
break
print('*** Number of trigger = {0}\n'.format(len(trg)))
def readEEGStreamer():
# first resolve an EEG stream on the lab network
streams = resolve_stream()
streamsType = []
for info in streams:
print('Name:{0}, Type: {1}, Channel counter:{2}, Srate:{3}'.format(info.name(), info.type(), info.channel_count(), info.nominal_srate()))
streamsType.append(info.type())
eeg = []
srate = 0
nchan = 0
print("looking for an EEG stream...")
if 'EEG' in streamsType:
streams = resolve_stream('type', 'EEG')
srate = streams[0].nominal_srate()
nchan = streams[0].channel_count()
# create a new inlet to read from the stream
inlet = StreamInlet(streams[0])
i = 0
NB = 1E4 ### a condition used to stop loop, you can modify it
while i < NB:
# get a new sample (you can also omit the timestamp part if you're not
# interested in it)
sample, timestamp = inlet.pull_sample()
# print(timestamp, sample)
eeg.append(sample)
# chunk, timestamp =inlet.pull_chunk()
i = i + 1
if i % 1000 == 0:
print('i={0}'.format(i))
return eeg, srate, nchan
else:
return eeg, srate, nchan
def readOtherStreamer():
# first resolve other non-EEG streams on the lab network, for example, SpO2, ECG, GSR,MEMsAll
print("looking for all streams...")
streams = resolve_stream()
streamsType = []
for info in streams:
print('Name:{0}, Type: {1}, Channel counter:{2}, Srate:{3}'.format(info.name(), info.type(), info.channel_count(), info.nominal_srate()))
streamsType.append(info.type())
raw = []
srate = 0
nchan = 0
## here is an example for reading SpO2 data stream
print("looking for an SpO2 stream...")
if 'SpO2' in streamsType:
streams = resolve_stream('type', 'SpO2')
srate = streams[0].nominal_srate()
nchan = streams[0].channel_count()
# create a new inlet to read from the streamer
inlet = StreamInlet(streams[0])
i = 0
NB = 1E3 ### a condition used to stop loop, you can modify it
while i < NB:
# get a new sample (you can also omit the timestamp part if you're not
# interested in it)
sample, timestamp = inlet.pull_sample()
# print(timestamp, sample)
raw.append(sample)
i = i + 1
if i % 100 == 0:
print('i={0}'.format(i))
return raw, srate, nchan
else:
return raw, srate, nchan
if __name__ == '__main__':
### pay attention to : EEG montage can be found from jellyfish software
# # Example1: read EEG streamer
# eeg, srate_eeg, nchan_eeg = readEEGStreamer()
# if len(eeg) > 0:
# eeg = np.asarray(eeg)
# t_eeg = np.arange(eeg.shape[0])/srate_eeg
# plt.figure()
# plt.plot(t_eeg, eeg[:,0])# plot first channel
# plt.show()
# Example2: read markers streamer,
# here you have to send trigger, to continue program
readMarkersStreamer()
print("YEs")
# Example3: read SpO2 streamer
raw,srate_raw, nchan_raw = readOtherStreamer()
if len(raw) > 0:
raw = np.asarray(raw)
t_raw = np.arange(raw.shape[0]) / srate_raw
plt.figure()
plt.plot(t_raw, raw[:, 1]) # plot second channel
plt.show()