no code implementations • 14 Feb 2023 • Sagarjit Aujla, Adel Mohamed, Ryan Tan, Randy Tan, Lei Gao, Naimul Khan, Karthikeyan Umapathy
Likewise, the proposed method achieved a maximum per-subject classification accuracy of 81. 53% with 43 DTCWT features and 3 clinical features using the balanced dataset and 64. 97% with 13 DTCWT features and 3 clinical features using the unbalanced dataset.