Inheritance diagram for hsd.HarmonicSumDecision:
Public Member Functions | |
| def | __init__ |
| def | fft_params |
| def | classify |
Public Attributes | |
| targets | |
| target_window | |
| fs | |
| electrodes | |
| n_samples | |
| overflow | |
| buffer | |
| cursor | |
| TODO: roll any leftover samples to the beginning of the buffer. | |
| filters | |
| enabled | |
| nfft | |
| window | |
| nHarmonics | |
| harmonics | |
Detailed Description
Harmonic Sum Decision (HSD) computes the frequency power spectrum of EEG data over one or more electrodes then sums the amplitudes of target frequencies and their harmonics. The target with the highest sum is chosen as the attended frequency.
Member Function Documentation
| def hsd.HarmonicSumDecision.__init__ | ( | self, | ||
task_state = None, |
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targets = (12.0, 13.0, |
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duration = 3, |
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fs = 500, |
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electrodes = 8, |
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filters = None | ||||
| ) |
| def hsd.HarmonicSumDecision.classify | ( | self, | ||
| command | ||||
| ) |
command contains a data matrix of samples assumed to be an ndarray of shape (samples, electrodes+)
| def hsd.HarmonicSumDecision.fft_params | ( | self | ) |
Determine all the relevant parameters for fft analysis
Member Data Documentation
TODO: roll any leftover samples to the beginning of the buffer.
The documentation for this class was generated from the following file:
- unlock/bci/decode/old/hsd.py
Generated on Mon Nov 10 2014 11:09:11 for The Unlock Project by
1.7.1