This table contains handwriting data related to Alzheimer's disease, with 174 rows and 200 columns capturing various measurements and characteristics of handwriting. It can be used to analyze patterns and identify potential markers for detecting Alzheimer's disease based on handwriting patterns. (AI-generated)
ID, air_time1, disp_index1, gmrt_in_air1, gmrt_on_paper1, max_x_extension1, max_y_extension1, mean_acc_in_air1, mean_acc_on_paper1, mean_gmrt1, mean_jerk_in_air1, mean_jerk_on_paper1, mean_speed_in_air1, mean_speed_on_paper1, num_of_pendown1, paper_time1, pressure_mean1, pressure_var1, total_time1, air_time2, ...