Fast Continuous Wavelet Transform for Brain Computer Interface using piecewise polynomials
| Autor: | Nana Arizumi, Tetiana Aksenova |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Signal processing
Computer science Computation 0206 medical engineering Fast Fourier transform 02 engineering and technology 020601 biomedical engineering Signal 03 medical and health sciences 0302 clinical medicine Wavelet Piecewise Algorithm 030217 neurology & neurosurgery Continuous wavelet transform Brain–computer interface |
| Zdroj: | ISSPIT |
| DOI: | 10.1109/isspit47144.2019.9001739 |
| Popis: | The Brain Computer Interface (BCI) is a technology that provides non-muscular communication channels to utilize the external devices. The signal from the brain is recorded, then classified. To classify, time-frequency features are frequently extracted using Continuous Wavelet Transform (CWT). However, the CWT is computationally heavy. This becomes the bottleneck of the real-time processing of BCI systems. We introduce a new method to solve the CWT using piecewise polynomials approximation over mother wavelets. The implementation shows that our method, piecewise polynomials based CWT (PCWT), is clearly better than the state of the art computation using the Fast Fourier Transform in the smaller buffer, which is preferable in the real-time systems. The proposed method can apply to other applications and should provide an effective approach to the real-time signal processing. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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