Wavelet Transform improves time-frequency characterization of the Electroretinographic Oscillatory Potentials as compared to Short-Time Fourier Transform across experimental and clinical models
Patrick Reiman, Sean Ghiam, Avigail Beryozkin, Valentina Stein Uman, Ayala Sahel, Jean‐François Mouillet, Lucas Janeschitz-Kriegl, Jordan Safran, Eitan Shemuelian, Oliver M. Beale, Samer Khateb, Anfisa Ayalon, Richard Hagan, Alki C. Liasis, Dimitrios Stavropoulos, , Boris Rosin
This study compares wavelet transform and short-time Fourier transform for analyzing electroretinographic oscillatory potentials, finding wavelet transform provides better time-frequency resolution and disease-specific insights.
bioRxiv · Oct 2, 2026 · PreprintPhysiology