Predicting Hypertensive Patients With Higher Risk of Developing Vascular Events Using Heart Rate Variability and Machine Learning. - Mohanad Alkhodari; Deema K. Islayem; Feryal A. Alskafi; Ahsan H. Khandoker (IEEE Access, 2020)

A Comparative Study of Arousal and Valence Dimensional Variations for Emotion Recognition Using Peripheral Physiological Signals Acquired from Wearable Sensors*. - Feryal A. Alskafi; Ahsan H. Khandoker; Herbert F. Jelinek (EMBC, 2021)

Multimodal Analysis of Physiological Signals for Wearable-Based Emotion Recognition Using Machine Learning. - Feryal A. Alskafi; Ahsan H. Khandoker; Uichin Lee; Cheul Young Park; Herbert F. Jelinek (CinC, 2022)

Brain-Heart Interactions Modulate EEG Activity During Elicited Emotional States. - Feryal A. Alskafi; Ahsan H. Khandoker; Faezeh Marzbanrad; Herbert F. Jelinek (CinC, 2023)

EEG-based Emotion Recognition Using Sub-Band Time-Delay Correlations. - Feryal A. Alskafi; Ahsan H. Khandoker; Faezeh Marzbanrad; Herbert F. Jelinek (EMBC, 2023)

Mapping Cognitive Engagement: EEG and Graph Theory Analysis of Brain Region Involvement in Supernumerary Robotic Finger Utilization. - Rateb Katmah; Mohammad I. Awad; Aamna Al Shehhi; Mohd Khalil Abu Hantash; Feryal A. Alskafi; Abdul Aziz Hulleck; Herbert F. Jelinek; Irfan Hussain; Kinda Khalaf (EMBC, 2024)