Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals
Published in Non-Integer Order Calculus and its Applications: 9th International Conference on Non-Integer Order Calculus and Its Applications, 2018
Recommended citation: Kawala-Janik et al. (2018). "Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals." Non-Integer Order Calculus and its Applications: 9th International Conference on Non-Integer Order Calculus and Its Applications. 63-73. https://books.google.com/books?hl=en&lr=&id=fs5SDwAAQBAJ&oi=fnd&pg=PA63&dq=chase+haddix
This work investigates the application of fractional-order low-pass filters to electroencephalographic (EEG) signal analysis. Two non-integer-order low-pass filters were evaluated and compared with conventional Butterworth filtering. The study explores fractional-order filtering as an alternative signal-processing approach for complex biomedical signals such as EEG. [View paper here](https://books.google.com/books?hl=en&lr=&id=fs5SDwAAQBAJ&oi=fnd&pg=PA63&dq=chase+haddix) Recommended citation: Kawala-Janik et al. (2018). "Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals." Non-Integer Order Calculus and its Applications: 9th International Conference on Non-Integer Order Calculus and Its Applications. 63-73.