openbci_v3_streaming
Scripting to streaming data from 32-bit 8 channel OpenBCI v3 board, sending to DynamoDB on AWS, or using Socket to send to a client, or save to a local .csv or .txt file.
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The Socket client is in 'client.py'. Socket server running on 'localhost:5007' by default, change port/host in 'open_bci_v3.py' (line 351, line 352) and 'client.py' (line 8, 9). After running "python open_bci_v3.py" and connecting to board, run "python client.py" to start streaming.
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Comment out 'open_bci_v3.py' (line 338) in 'open_bci_v3.py' if you don't need Socket streaming in above step.
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In function 'handle_sample(sample, opt=3)' in 'open_bci_v3.py' (line 446), change the 'opt' parameter to 0 - TCP socket, 1 - Dynamo DB, 2 - local .csv file, 4 - local text file.
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Modify csv and txt file saved directory on local computer in 'open_bci_v3.py' (line 344, 345).
Data format to .txt, .csv:
'timestamp', 'id', 'subject', 'channel0_value', 'channel1_value', 'channel2_value', 'channel3_value', 'channel4_value', 'channel5_value', 'channel6_value', 'channel7_value'
Data format to socket(json) and Dynamo DB:
{'id': sample.id, 'subject': self.subject, 'timestamp': timestamp, 'channel_values': sample.channel_data, 'channel0_value': channel0_value, 'channel1_value': channel1_value, 'channel2_value': channel2_value, 'channel3_value': channel3_value, 'channel4_value': channel4_value, 'channel5_value': channel5_value, 'channel6_value': channel6_value, 'channel7_value': channel7_value}