An emboli detection system based on Dual Tree Complex Wavelet Transform and ensemble learning

- Embolic signals are used for the identification of active embolic sources in stroke-prone individuals.
- Dual Tree Complex Wavelet Transform (DTCWT) is used as a new feature extractor from forward and reverse Doppler ultrasound signals.
- The features acquired from forward and reverse flow directions of the blood are fed into k-NN and SVMs.
- The individual predictions of classifiers are combined using ensemble stacking method considering that the forward and reverse blood flow coefficients carry different characteristics.
- The results show that the DTCWT is superior to the DWT and FFT.