Petr Nejedly
Petr Nejedly
Institute of Scientific Instruments of the Czech Academy of Science
Dirección de correo verificada de isibrno.cz
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Año
Integrating brain implants with local and distributed computing devices: a next generation epilepsy management system
V Kremen, BH Brinkmann, I Kim, H Guragain, M Nasseri, AL Magee, ...
IEEE journal of translational engineering in health and medicine 6, 1-12, 2018
272018
Intracerebral EEG artifact identification using convolutional neural networks
P Nejedly, J Cimbalnik, P Klimes, F Plesinger, J Halamek, V Kremen, ...
Neuroinformatics, 1-10, 2018
212018
Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECG
F Plesinger, P Nejedly, I Viscor, J Halamek, P Jurak
Physiological measurement 39 (9), 094002, 2018
192018
Automatic detection of atrial fibrillation and other arrhythmias in holter ECG recordings using rhythm features and neural networks
F Plesinger, P Nejedly, I Viscor, J Halamek, P Jurak
2017 Computing in Cardiology (CinC), 1-4, 2017
182017
Ventricular electrical delay measured from body surface ECGs is associated with cardiac resynchronization therapy response in left bundle branch block patients from the MADIT …
F Plesinger, P Jurak, J Halamek, P Nejedly, P Leinveber, I Viscor, ...
Circulation: Arrhythmia and Electrophysiology 11 (5), e005719, 2018
172018
Multi-feature localization of epileptic foci from interictal, intracranial EEG
J Cimbalnik, P Klimes, V Sladky, P Nejedly, P Jurak, M Pail, R Roman, ...
Clinical Neurophysiology 130 (10), 1945-1953, 2019
122019
Deep-learning for seizure forecasting in canines with epilepsy
P Nejedly, V Kremen, V Sladky, M Nasseri, H Guragain, P Klimes, ...
Journal of neural engineering 16 (3), 036031, 2019
122019
Exploiting graphoelements and convolutional neural networks with long short term memory for classification of the human electroencephalogram
P Nejedly, V Kremen, V Sladky, J Cimbalnik, P Klimes, F Plesinger, ...
Scientific reports 9 (1), 1-9, 2019
62019
Automated sleep arousal detection based on EEG envelograms
F Plesinger, I Viscor, P Nejedly, P Andrla, J Halamek, P Jurak
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
52018
Cuda Filters: A Signal Plant library for GPU‐accelerated FFT and FIR filtering
P Nejedly, F Plesinger, J Halamek, P Jurak
Software: Practice and Experience 48 (1), 3-9, 2018
52018
Semi-supervised training data selection improves seizure forecasting in canines with epilepsy
M Nasseri, V Kremen, P Nejedly, I Kim, SY Chang, HJ Jo, H Guragain, ...
Biomedical Signal Processing and Control 57, 101743, 2020
22020
Prediction of Sepsis Using LSTM Neural Network With Hyperparameter Optimization With a Genetic Algorithm
P Nejedly, F Plesinger, I Viscor, J Halamek, P Jurak
Computing in Cardiology 2019 46, 1-4, 2019
22019
Automated Identification of Paced Beats in Holter ECG
F Plesinger, I Viscor, R Smisek, J Halamek, V Bulkova, P Nejcdly, A Ivora, ...
2020 Computing in Cardiology, 1-4, 2020
2020
Utilization of Residual CNN-GRU With Attention Mechanism for Classification of 12-lead ECG
P Nejedly, A Ivora, I Viscor, J Halamek, P Jurak, F Plesinger
2020 Computing in Cardiology, 1-4, 2020
2020
Multicenter intracranial EEG dataset for classification of graphoelements and artifactual signals
P Nejedly, V Kremen, V Sladky, J Cimbalnik, P Klimes, F Plesinger, ...
Scientific data 7 (1), 1-7, 2020
2020
Clustered Standard Deviation and its Benefit to Identify Atrial Fibrillation
F Plesinger, I Viscor, P Nejedly, V Bulkova, J Halamek, P Jurak
Computing in Cardiology 2019, 2019
2019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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