Optimizing time-frequency feature extraction and channel selection through gradient backpropagation to improve action decoding based on subthalamic local field potentials
Neural oscillating patterns, or time-frequency features, predicting voluntary motor intention, can be extracted from the local field potentials (LFPs) recorded from the sub-thalamic nucleus (STN) or thalamus of human patients implanted with deep brain stimulation (DBS) electrodes for the treatment o...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
IEEE
2020
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