A feature fusion sequence learning approach for quantitative analysis of tremor symptoms based on digital handwriting

•An automated essential tremor assessment model based on a drawing task.•First database of 3 types of tremor tasks in patients with essential tremors.•The patient's diagnosis was independently scored by multiple neurologists.•Digital ink sequences were analyzed using a hybrid model of CNN and transformer.•The system incorporates both sequence features and kinematic handwriting features.