Petr Nejedly

Orcid: 0000-0002-5382-2134

According to our database1, Petr Nejedly authored at least 19 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
DeepPlayer: An open-source SignalPlant plugin for deep learning inference.
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

Wavelet Transform Based Detection of the First-Degree Atrioventricular Block.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Classification of ECG Using Ensemble of Residual CNNs with Attention Mechanism.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

QRS Complex Detection in Paced and Spontaneous Ultra-High-Frequency ECG.
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

Automated Identification of Paced Beats in Holter ECG.
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
Intracerebral EEG Artifact Identification Using Convolutional Neural Networks.
Neuroinformatics, 2019

Clustered Standard Deviation and Its Benefit to Identify Atrial Fibrillation.
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
CudaFilters: A SignalPlant library for GPU-accelerated FFT and FIR filtering.
Softw. Pract. Exp., 2018

Automated Sleep Arousal Detection Based on EEG Envelograms.
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


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