Abstract
In this work, the hand trajectory decoding was investigated in the source space. A couple of di-mensionality reduction techniques were utilized to re-duce the number of the source-space signals, namely, computing the mean, principle component analysis (PCA), locality preserving projection (LPP).
The decoding performances from the source-space approaches were compared to the sensor-space ap-proach. We found that every approach showed perfor-mance metrics in a similar range and only slight differ-ences across approaches could be observed. The source-space approach with PCA with 8 components exhibited higher performance metrics than other ap-proaches and slightly higher performance metrics than the sensor-space approach (improvement for correla-tion 0.01 to 0.09, SNR 0.05 to 0.1 dB). The results sug-gested that the source-space-based decoding is pos-sible, and it can achieve comparable performance to the sensor-space approach.
The decoding performances from the source-space approaches were compared to the sensor-space ap-proach. We found that every approach showed perfor-mance metrics in a similar range and only slight differ-ences across approaches could be observed. The source-space approach with PCA with 8 components exhibited higher performance metrics than other ap-proaches and slightly higher performance metrics than the sensor-space approach (improvement for correla-tion 0.01 to 0.09, SNR 0.05 to 0.1 dB). The results sug-gested that the source-space-based decoding is pos-sible, and it can achieve comparable performance to the sensor-space approach.
Original language | English |
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Title of host publication | Proceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021 |
Subtitle of host publication | ÖGBMT 2021 |
Publisher | Verlag der Technischen Universität Graz |
Pages | 79-82 |
ISBN (Electronic) | 978-3-85125-826-4 |
DOIs | |
Publication status | Published - 2021 |
Event | Annual Meeting of the Austrian Society of the Biomedical Engineering 2021: ÖGBMT 2021 - Graz University of Technology, Graz, Austria Duration: 30 Sept 2021 → 1 Oct 2021 https://oegbmt2021.tugraz.at/ |
Conference
Conference | Annual Meeting of the Austrian Society of the Biomedical Engineering 2021 |
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Abbreviated title | ÖGBMT 2021 |
Country/Territory | Austria |
City | Graz |
Period | 30/09/21 → 1/10/21 |
Internet address |
Keywords
- Electroencephalographic (EEG) source imaging
- Brain-computer interface (BCI)