Knowledge Based Health Monitoring During Driving. - Se Jin Park; Seunghee Hong; Damee Kim; Young Seo; Iqram Hussain (HCI (30), 2018)

Gait Monitoring System for Stroke Prediction of Aging Adults. - Hongkyu Park; Seunghee Hong; Iqram Hussain; Damee Kim; Young Seo; Se Jin Park (AHFE (22), 2019)

Physiological Evaluation of a Non-invasive Wearable Vagus Nerve Stimulation (VNS) Device. - Se Jin Park; Seunghee Hong; Damee Kim; Iqram Hussain; Young Seo; Min Kyu Kim (AHFE (22), 2019)

Real-time Gait Monitoring System for Consumer Stroke Prediction Service. - Se Jin Park; Iqram Hussain; Seunghee Hong; Damee Kim; Hongkyu Park; Chee Meng Benjamin Ho (ICCE, 2020)

HealthSOS: Real-Time Health Monitoring System for Stroke Prognostics. - Iqram Hussain; Se Jin Park (IEEE Access, 2020)

Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management. - Iqram Hussain; Se Jin Park (IEEE Access, 2021)

Prediction of Myoelectric Biomarkers in Post-Stroke Gait. - Iqram Hussain; Se Jin Park (Sensors, 2021)

Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device. - Iqram Hussain; Young Seo; Chang Ho Kim; Chee Meng Benjamin Ho; Se Jin Park (Sensors, 2021)

Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System. - Iqram Hussain; Seo Young; Se Jin Park (Sensors, 2021)

Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages. - Iqram Hussain; Md Azam Hossain; Rafsan Jany; Md. Azam Hossain; Musfik Uddin; Abu Raihan Mostofa Kamal; Yunseo Ku; Jik-Soo Kim (Sensors, 2022)

Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal. - Mohammed Saidul Islam; Iqram Hussain; Md Mezbaur Rahman; Se Jin Park; Md Azam Hossain (Sensors, 2022)

An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME. - Iqram Hussain; Rafsan Jany; Richard Boyer; A. K. M. Azad; Salem A. Alyami; Se Jin Park; Md. Mehedi Hasan 001; Md Azam Hossain (Sensors, 2023)

An interpretable tinnitus prediction framework using gap-prepulse inhibition in auditory late response and electroencephalogram. - Iqram Hussain; Chiheon Kwon; Tae-Soo Noh; Hee Chan Kim; Myung-Whan Suh; Yunseo Ku (Comput. Methods Programs Biomed., 2024)

Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence. - Iqram Hussain; Rafsan Jany (Sensors, 2024)

Interpretable framework for predicting preoperative cardiorespiratory fitness using wearable data. - Iqram Hussain; Julianna Zeepvat; Mcary Reid; Sara Czaja; Kane O. Pryor; Richard Boyer (Comput. Methods Programs Biomed., 2025)