private static void Client_NotifyEeg(Channel channel, Encefalogram e)
{
if (++x % 5 == 0)
{
var values = e.Samples.Select(f => (double)f).ToArray();
data.AddRange(values);
Console.WriteLine(".");
for (int i = 0; i < count; i++)
{
char c = ' ';
if (sinuses[i] < 1)
{
c = '_';
}
else if (sinuses[i] < 10)
{
c = 'o';
}
else if (sinuses[i] < 50)
{
c = 'O';
}
Console.Write(c);
}
}
}
private static void Client_NotifyEeg(Channel c, Encefalogram e)
{
if (c == Channel.EEG_AF7)
{
data_AF7.AddRange(e.Samples);
}
else if (c == Channel.EEG_AF8)
{
data_AF8.AddRange(e.Samples);
}
else if (c == Channel.EEG_TP9)
{
data_TP9.AddRange(e.Samples);
}
else if (c == Channel.EEG_TP10)
{
data_TP10.AddRange(e.Samples);
}
else if (c == Channel.EEG_AUX)
{
data_AUX.AddRange(e.Samples);
}
if (++n % 10 == 0)
{
Print.Encefalogram(e);
}
}
private void Client_NotifyEeg(Channel channel, Encefalogram gram)
{
graph.Append(channel, gram.Samples);
}
