3 papers
eess.SP2026
Contactless gait-derived features as candidate digital biomarkers of depression severity in adolescents
Shuai Liu, Xiang Li, Guangxin Dai +8
Timely assessment of depression severity in adolescents is essential for guiding clinical care, yet conventional evaluations rely on episodic clinical assessments and symptom ratin…
eess.SP2026
Task-evoked eye movements as candidate digital biomarkers of depression severity in adolescents and young adults
Youxiang Sun, Yujie Nie, Zhuoru Wu +6
Objective digital measures of depression severity could complement conventional symptom assessments and facilitate more timely clinical evaluation. Here, we investigated whether ta…
cs.LG2025
Enhancing Interpretability of AR-SSVEP-Based Motor Intention Recognition via CNN-BiLSTM and SHAP Analysis on EEG Data
Lin Yang, Xiang Li, Xin Ma +1
Patients with motor dysfunction show low subjective engagement in rehabilitation training. Traditional SSVEP-based brain-computer interface (BCI) systems rely heavily on external v…