Ali Bahrami Rad
Orcid: 0000-0002-5654-4301
According to our database1,
Ali Bahrami Rad
authored at least 35 papers
between 2012 and 2024.
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Bibliography
2024
Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder.
IEEE J. Biomed. Health Informatics, November, 2024
A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs.
Sensors, September, 2024
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns.
IEEE J. Biomed. Health Informatics, March, 2024
Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis.
CoRR, 2024
2023
IEEE J. Biomed. Health Informatics, August, 2023
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.
Proceedings of the Computing in Cardiology, 2023
A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients.
Proceedings of the Computing in Cardiology, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment.
IEEE J. Sel. Top. Signal Process., 2022
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.
Proceedings of the Computing in Cardiology, 2022
2021
Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort.
IEEE J. Biomed. Health Informatics, 2021
Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models.
CoRR, 2021
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection.
J. Signal Process. Syst., 2020
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks.
Neurocomputing, 2020
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data.
CoRR, 2020
IEEE Access, 2020
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.
Proceedings of the Computing in Cardiology, 2020
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation.
Proceedings of the Computing in Cardiology, 2020
A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest.
Proceedings of the Computing in Cardiology, 2020
2019
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network.
CoRR, 2019
IEEE Access, 2019
EEG-based Classification of Microsleep by Means of Feature Selection: An Application in Aviation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the Computing in Cardiology, 2018
ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers.
Proceedings of the Computing in Cardiology, 2018
2017
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis.
IEEE Trans. Biomed. Eng., 2017
Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier.
Proceedings of the Computing in Cardiology, 2017
2016
Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2014
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation.
Proceedings of the Computing in Cardiology, 2013
2012
Proceedings of the 5th International Symposium on Communications, 2012