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ORCIDHaben Yhdego
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2020 – today
- 2023
[b1]Haben Yhdego:
Wearable Sensor Gait Analysis for Fall Detection Using Deep Learning Methods. Old Dominion University, Norfolk, Virginia, USA, 2023- [j1]Haben Yhdego, Nahom Kidane, Frederic D. McKenzie, Michel A. Audette
:
Development of deep-learning models for a hybrid simulation of auscultation training on standard patients using an ECG-based virtual pathology stethoscope. Simul. 99(9): 903-915 (2023) - [c6]Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar, Nathan Yung, Gabriel Wardi, Shamim Nemati:
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. EMBC 2023: 1-4 - [i1]Seokmin Choi, Sajad Mousavi, Phillip Si, Haben G. Yhdego, Fatemeh Khadem, Fatemeh Afghah:
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning. CoRR abs/2306.06340 (2023) - 2022
- [c5]Haben Yhdego, Michel A. Audette, Christopher Paolini:
Fall Detection Using Self-Supervised Pre-Training Model. ANNSIM 2022: 361-371 - 2021
- [c4]Haben Yhdego, Jiang Li, Christopher Paolini, Michel A. Audette:
Wearable Sensor Gait Analysis of Fall Detection using Attention Network. BIBM 2021: 3137-3141 - 2020
- [c3]Haben Yhdego, Nahom Kidane, Frederic D. McKenzie, Michel A. Audette:
ECG-Based Virtual Pathology Stethoscope Tracking Using Transfer Learning. SpringSim 2020: 1-7
2010 – 2019
- 2019
- [c2]Haben Yhdego, Nahom Kidane, Sahil Aggarwal, Andrew E. Cross, Frederic D. McKenzie, Michel A. Audette:
Convolutional Neural Network for ECG-based Virtual Pathology Stethoscope Tracking in Patient Heart Auscultation. BIBM 2019: 2569-2573 - [c1]Haben Yhdego, Jiang Li, Steven Morrison, Michel A. Audette, Christopher Paolini, Mahasweta Sarkar, Hamid Okhravi:
Towards Musculoskeletal Simulation-Aware Fall Injury Mitigation: Transfer Learning with Deep CNN for Fall Detection. SpringSim 2019: 1-12
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