New Feature extraction method based on the Quantization-based position Weight Matrix (QuPWM) method designed explicitly for multiclass classification on biomedical signals.
We developed a Feature extraction method, called SCSA, for pulse-shaped signal. It used the dimnesionality reduction principle based on Schrödinger operator.
We developed a Feature extraction method, called QuPWM, for epileptic spikes detection in MEG signals. This method is based on combining the position weight matrix (PWM) method with digital quantization.