Morteza Zabihi

Orcid: 0000-0002-6758-4384

According to our database1, Morteza Zabihi authored at least 18 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
HyperEnsemble Learning from Multimodal Biosignals to Robustly Predict Functional Outcome after Cardiac Arrest.
Proceedings of the Computing in Cardiology, 2023

2021
Early Detection of Myocardial Infarction in Low-Quality Echocardiography.
IEEE Access, 2021

A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Contributions to Biomedical Signal Analysis Using Nonlinear Dynamics and Machine Learning.
PhD thesis, 2020

Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines.
IEEE J. Biomed. Health Informatics, 2020

Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks.
Neurocomputing, 2020

Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection.
IEEE Access, 2020

2019
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network.
CoRR, 2019

1D Convolutional Neural Network Models for Sleep Arousal Detection.
CoRR, 2019

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions.
IEEE Access, 2019

Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis.
Proceedings of the Computing in Cardiology, 2018

Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings.
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
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
Automated patient-specific classification of long-term Electroencephalography.
J. Biomed. Informatics, 2014

2012
Biometry based on EEG Signals using Neural Network and Support Vector Machine.
Proceedings of the BIOSIGNALS 2012, 2012


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