Petr Nejedly
Orcid: 0000-0002-5382-2134
According to our database1,
Petr Nejedly
authored at least 19 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Softw. Pract. Exp., 2023
Using Embedding Extractor and Transformer Encoder for Predicting Neurological Recovery from Coma After Cardiac Arrest.
Proceedings of the Computing in Cardiology, 2023
2022
Scalable, Multiplatform, and Autonomous ECG Processor Supported by AI for Telemedicine Center.
Proceedings of the Computing in Cardiology, 2022
Utilization of Deep Learning and Expert Feature Classifier for Detection of Heart Murmurs.
Proceedings of the Computing in Cardiology, 2022
Ultra-High Frequency ECG Deep-Learning Beat Detector Delivering QRS Onsets and Offsets.
Proceedings of the Computing in Cardiology, 2022
2021
Direct Electrical Stimulation of the Human Brain Has Inverse Effects on the Theta and Gamma Neural Activities.
IEEE Trans. Biomed. Eng., 2021
Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation.
NeuroImage, 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Semi-supervised training data selection improves seizure forecasting in canines with epilepsy.
Biomed. Signal Process. Control., 2020
Proceedings of the Computing in Cardiology, 2020
Utilization of Residual CNN-GRU With Attention Mechanism for Classification of 12-lead ECG.
Proceedings of the Computing in Cardiology, 2020
2019
Neuroinformatics, 2019
Proceedings of the 46th Computing in Cardiology, 2019
Prediction of Sepsis Using LSTM Neural Network With Hyperparameter Optimization With a Genetic Algorithm.
Proceedings of the 46th Computing in Cardiology, 2019
2018
Softw. Pract. Exp., 2018
Proceedings of the Computing in Cardiology, 2018
2017
Automatic Detection of Atrial Fibrillation and Other Arrhythmias in Holter ECG Recordings using PQRS Morphology and Rhythm Features.
Proceedings of the Computing in Cardiology, 2017