Stub for some support of impedance check.

open_bci_ganglion.py

@@ -85,6 +85,7 @@ def __init__(self, port=None, baud=0, filter_data=False,
     # number of EEG channels and (optionally) accelerometer channel
     self.eeg_channels_per_sample = 4
     self.aux_channels_per_sample = 3 
+    self.imp_channels_per_sample = 0 
     self.read_state = 0
     self.log_packet_count = 0
     self.packets_dropped = 0
@@ -220,12 +221,17 @@ def getSampleRate(self):
       return SAMPLE_RATE
   
   def getNbEEGChannels(self):
-      return self.eeg_channels_per_sample
+    """Will not get new data on impedance check."""
+    return self.eeg_channels_per_sample
   
   def getNbAUXChannels(self):
     """Might not be used depending on the mode."""
     return self.aux_channels_per_sample
 
+  def getNbImpChannels(self):
+    """Might not be used depending on the mode."""
+    return  self.imp_channels_per_sample
+
   def start_streaming(self, callback, lapse=-1):
     """
     Start handling streaming data from the board. Call a provided callback
@@ -387,9 +393,10 @@ def reconnect(self):
 class OpenBCISample(object):
   """Object encapulsating a single sample from the OpenBCI board."""
   def __init__(self, packet_id, channel_data, aux_data):
-    self.id = packet_id;
-    self.channel_data = channel_data;
-    self.aux_data = aux_data;
+    self.id = packet_id
+    self.channel_data = channel_data
+    self.aux_data = aux_data
+    self.imp_data = []
 
 
 class GanglionDelegate(DefaultDelegate):

open_bci_v3.py

@@ -13,7 +13,7 @@ def handle_sample(sample):
 NOTE: If daisy modules is enabled, the callback will occur every two samples, hence "packet_id" will only contain even numbers. As a side effect, the sampling rate will be divided by 2.
 
 FIXME: at the moment we can just force daisy mode, do not check that the module is detected.
-
+TODO: enable impedance
 
 """
 import serial
@@ -97,6 +97,7 @@ def __init__(self, port=None, baud=115200, filter_data=True,
     self.scaling_output = scaled_output
     self.eeg_channels_per_sample = 8 # number of EEG channels per sample *from the board*
     self.aux_channels_per_sample = 3 # number of AUX channels per sample *from the board*
+    self.imp_channels_per_sample = 0 # impedance check not supported at the moment
     self.read_state = 0
     self.daisy = daisy
     self.last_odd_sample = OpenBCISample(-1, [], []) # used for daisy
@@ -140,6 +141,9 @@ def getNbEEGChannels(self):
   def getNbAUXChannels(self):
     return  self.aux_channels_per_sample
 
+  def getNbImpChannels(self):
+    return  self.imp_channels_per_sample
+
   def start_streaming(self, callback, lapse=-1):
     """
     Start handling streaming data from the board. Call a provided callback
@@ -594,10 +598,11 @@ def find_port(self):
       return openbci_port
 
 class OpenBCISample(object):
-  """Object encapulsating a single sample from the OpenBCI board."""
+  """Object encapulsating a single sample from the OpenBCI board. NB: dummy imp for plugin compatiblity"""
   def __init__(self, packet_id, channel_data, aux_data):
-    self.id = packet_id;
-    self.channel_data = channel_data;
-    self.aux_data = aux_data;
+    self.id = packet_id
+    self.channel_data = channel_data
+    self.aux_data = aux_data
+    self.imp_data = []
 
 

plugin_interface.py

@@ -22,11 +22,12 @@ class PluginExample(plugintypes.IPluginExtended):
 
 class IPluginExtended(IPlugin):
   # args: passed by command line
-  def pre_activate(self, args, sample_rate=250, eeg_channels=8, aux_channels=3):
+  def pre_activate(self, args, sample_rate=250, eeg_channels=8, aux_channels=3, imp_channels=0):
     self.args = args
     self.sample_rate = sample_rate
     self.eeg_channels = eeg_channels
     self.aux_channels = aux_channels
+    self.imp_channels = imp_channels
     # by default we say that activation was okay -- inherited from IPlugin
     self.is_activated = True
     self.activate()

plugins/print.py

@@ -7,7 +7,11 @@ def activate(self):
 	# called with each new sample
 	def __call__(self, sample):
 		if sample:
-			sample_string = "ID: %f\n%s\n%s" %(sample.id, str(sample.channel_data)[1:-1], str(sample.aux_data)[1:-1])
+            # print impedance if supported
+			if self.imp_channels > 0:
+				sample_string = "ID: %f\n%s\n%s\%s" %(sample.id, str(sample.channel_data)[1:-1], str(sample.aux_data)[1:-1], str(sample.imp_data)[1:-1])
+			else:
+				sample_string = "ID: %f\n%s\n%s" %(sample.id, str(sample.channel_data)[1:-1], str(sample.aux_data)[1:-1])
 			print "---------------------------------"
 			print sample_string
 			print "---------------------------------"
@@ -19,4 +23,4 @@ def __call__(self, sample):
 		#     print "Not a ascii-encoded unicode string"
 		# else:
 		#     print sample_string
-		
+		

plugins/streamer_lsl.py

@@ -6,14 +6,16 @@
 from pylsl import StreamInfo, StreamOutlet
 import plugin_interface as plugintypes
 
-# Use LSL protocol to broadcast data using one stream for EEG and one stream for AUX
+# Use LSL protocol to broadcast data using one stream for EEG, one stream for AUX, one last for impedance testing (on supported board, if enabled)
 class StreamerLSL(plugintypes.IPluginExtended):
 	# From IPlugin
 	def activate(self):
 		eeg_stream = "OpenBCI_EEG"
 		eeg_id = "openbci_eeg_id1"
 		aux_stream = "OpenBCI_AUX"
 		aux_id = "openbci_aux_id1"
+		imp_stream = "OpenBCI_Impedance"
+		imp_id = "openbci_imp_id1"
 		
 		if len(self.args) > 0:
 			eeg_stream = self.args[0]
@@ -23,23 +25,34 @@ def activate(self):
 			aux_stream = self.args[2]
 		if len(self.args) > 3:
 			aux_id = self.args[3]
+		if len(self.args) > 4:
+			imp_stream = self.args[4]
+		if len(self.args) > 5:
+			imp_id = self.args[5]
 
 		# Create a new streams info, one for EEG values, one for AUX (eg, accelerometer) values
 		print "Creating LSL stream for EEG. Name:", eeg_stream, "- ID:", eeg_id, "- data type: float32.", self.eeg_channels, "channels at", self.sample_rate, "Hz."
 		info_eeg = StreamInfo(eeg_stream, 'EEG', self.eeg_channels,self.sample_rate,'float32',eeg_id);
 		# NB: set float32 instead of int16 so as OpenViBE takes it into account
 		print "Creating LSL stream for AUX. Name:", aux_stream, "- ID:", aux_id, "- data type: float32.", self.aux_channels, "channels at", self.sample_rate, "Hz."
 		info_aux = StreamInfo(aux_stream, 'AUX', self.aux_channels,self.sample_rate,'float32',aux_id);
-		
+
 		# make outlets
 		self.outlet_eeg = StreamOutlet(info_eeg)
 		self.outlet_aux = StreamOutlet(info_aux)
-	    
+
+		if self.imp_channels > 0:
+			print "Creating LSL stream for Impedance. Name:", imp_stream, "- ID:", imp_id, "- data type: float32.", self.imp_channels, "channels at", self.sample_rate, "Hz."
+			info_imp = StreamInfo(imp_stream, 'Impedance', self.imp_channels,self.sample_rate,'float32',imp_id);
+			self.outlet_imp = StreamOutlet(info_imp)
+
 	# send channels values
 	def __call__(self, sample):
 		self.outlet_eeg.push_sample(sample.channel_data)
 		self.outlet_aux.push_sample(sample.aux_data)
+		if self.imp_channels > 0:
+			self.outlet_imp.push_sample(sample.imp_data)
 
 	def show_help(self):
-	  	print """Optional arguments: [EEG_stream_name [EEG_stream_ID [AUX_stream_name [AUX_stream_ID]]]]
-	  	\t Defaults: "OpenBCI_EEG" / "openbci_eeg_id1" and "OpenBCI_AUX" / "openbci_aux_id1"."""
+	  	print """Optional arguments: [EEG_stream_name [EEG_stream_ID [AUX_stream_name [AUX_stream_ID [Impedance_steam_name [Impedance_stream_ID]]]]]]
+	  	\t Defaults: "OpenBCI_EEG" / "openbci_eeg_id1" and "OpenBCI_AUX" / "openbci_aux_id1" / "OpenBCI_Impedance" / "openbci_imp_id1"."""

user.py

@@ -149,7 +149,7 @@
                 print ("Error: [ " + plug_name + " ] not found or could not be loaded. Check name and requirements.")
             else:
                 print ("\nActivating [ " + plug_name + " ] plugin...")
-                if not plug.plugin_object.pre_activate(plug_args, sample_rate=board.getSampleRate(), eeg_channels=board.getNbEEGChannels(), aux_channels=board.getNbAUXChannels()):
+                if not plug.plugin_object.pre_activate(plug_args, sample_rate=board.getSampleRate(), eeg_channels=board.getNbEEGChannels(), aux_channels=board.getNbAUXChannels(), imp_channels=board.getNbImpChannels()):
                     print ("Error while activating [ " + plug_name + " ], check output for more info.")
                 else:
                     print ("Plugin [ " + plug_name + "] added to the list")