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); }