Milos Ajcevic
Orcid: 0000-0001-8307-4360
According to our database1,
Milos Ajcevic
authored at least 30 papers
between 2013 and 2023.
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Bibliography
2023
Sleep Spindle-Related EEG Connectivity in Children with Attention-Deficit/Hyperactivity Disorder: An Exploratory Study.
Entropy, September, 2023
Characterization of a Novel Approach for Neonatal Hematocrit Screening Based on Penetration Velocity in Lateral Flow Test Strip.
Sensors, March, 2023
2022
A Novel Non-Invasive Thermometer for Continuous Core Body Temperature: Comparison with Tympanic Temperature in an Acute Stroke Clinical Setting.
Sensors, 2022
Toward a diagnostic CART model for Ischemic heart disease and idiopathic dilated cardiomyopathy based on heart rate total variability.
Medical Biol. Eng. Comput., 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Interpretable machine learning models to support differential diagnosis between Ischemic Heart Disease and Dilated Cardiomyopathy.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Naive Bayesian-based Nomogram for Identification of Early Asymptomatic Dilated Cardiomyopathy.
Proceedings of the Computing in Cardiology, 2022
Does Ectopic Beats Bring More Discriminatory Information to Diagnose Ischemic Heart Disease?
Proceedings of the Computing in Cardiology, 2022
2021
Hyper-acute EEG alterations predict functional and morphological outcomes in thrombolysis-treated ischemic stroke: a wireless EEG study.
Medical Biol. Eng. Comput., 2021
e-Health solution for home patient telemonitoring in early post-acute TIA/Minor stroke during COVID-19 pandemic.
Int. J. Medical Informatics, 2021
Effect of power feature covariance shift on BCI spatial-filtering techniques: A comparative study.
Comput. Methods Programs Biomed., 2021
Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences?
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
EEG changes and motor deficits in Parkinson's disease patients: Correlation of motor scales and EEG power bands.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
Modeling of glycogen resynthesis according to insulin concentration: towards a system for prevention of late-onset exercise-induced hypoglycemia in Type 1 diabetes patients.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
2020
Performance of Dual-Augmented Lagrangian Method and Common Spatial Patterns applied in classification of Motor-Imagery BCI.
CoRR, 2020
Assessment of mobility deficit and treatment efficacy in adhesive capsulitis by measurement of kinematic parameters using IMU sensors.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
A big - data classification tree for decision support system in the detection of dilated cardiomyopathy using heart rate variability.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
Performance of EEG Motor-Imagery based spatial filtering methods: A BCI study on Stroke patients.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
Wireless EEG in hyper-acute ischemic stroke: correlation between neurophysiological alterations and CTP total hypoperfused volume.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Identification of Ischemic Heart Disease by using machine learning technique based on parameters measuring Heart Rate Variability.
Proceedings of the 28th European Signal Processing Conference, 2020
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients.
Proceedings of the 28th European Signal Processing Conference, 2020
Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson's Disease patients.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
A Big-Data-Analytics Framework for Supporting Classification of ADHD and Healthy Children via Principal Component Analysis of EEG Sleep Spindles Power Spectra.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019
2016
Promoting health for chronic conditions: A novel approach that integrates clinical and personal decision support.
Proceedings of the 39th International Convention on Information and Communication Technology, 2016
2015
Proceedings of the 23rd European Signal Processing Conference, 2015
2013
A novel estimation methodology for tracheal pressure in mechanical ventilation control.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013
Proceedings of the 21st European Signal Processing Conference, 2013