Brainwaves for Hackers 2.0
summary
Uses a Neurosky MindWave Bluetooth EEG, Python 3.4 asyncio and a Raspberry Pi to stream raw 512 Hz samples into an IPython Notebook with bokeh widgets, recording HDF5 files and running linear regression that finds beta band (≈17–30 Hz) correlates with attention. Includes a pieziology experiment framework, a table-cleaner for artifact rejection, notes frequent muscle artifacts and Bluetooth timing loss, and reports the demo and reconnection logic mostly working despite a large file-size bug.
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chapters (18)
- 0:00Introduction
- 0:50What are brain waves
- 2:01The Mindwave Mobile
- 2:50PIZology
- 3:46Internet of Things
- 5:39RealTime Demonstration
- 7:46Data Science
- 9:18Experiments
- 9:46Recording Data
- 10:55Redirect Data
- 11:09Batch
- 11:39Expert Experiment
- 12:29Table Cleaner
- 13:44Linear Regression
- 14:37Beta frequencies
- 15:34Alpha frequencies
- 17:15Technical remarks
- 25:21Connection issues
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