Development of deep-learning models for a hybrid simulation of auscultation training on standard patients using an ECG-based virtual pathology stethoscope.
Simul., September, 2023
Wearable Sensor Gait Analysis for Fall Detection Using Deep Learning Methods.
PhD thesis, 2023
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning.
CoRR, 2023
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Fall Detection Using Self-Supervised Pre-Training Model.
Proceedings of the Annual Modeling and Simulation Conference, 2022
Wearable Sensor Gait Analysis of Fall Detection using Attention Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
ECG-Based Virtual Pathology Stethoscope Tracking Using Transfer Learning.
Proceedings of the Spring Simulation Conference, 2020
Towards Musculoskeletal Simulation-Aware Fall Injury Mitigation: Transfer Learning with Deep CNN for Fall Detection.
Proceedings of the 2019 Spring Simulation Conference, 2019
Convolutional Neural Network for ECG-based Virtual Pathology Stethoscope Tracking in Patient Heart Auscultation.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019