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Ekaterina Kutafina
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2020 – today
- 2024
- [j13]Anna Maxion
, Arnim Johannes Gaebler
Spectral changes in electroencephalography linked to neuroactive medications: A computational pipeline for data mining and analysis. Comput. Methods Programs Biomed. 255: 108319 (2024) - [j12]Alexander Brenner
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography. Comput. Methods Programs Biomed. 257: 108448 (2024) - [c19]Alina Troglio, Masoud Abedi, Martin Golebiewski, Frank A. Meineke, Toralf Kirsten, Barbara Namer, Oya Beyan, Ekaterina Kutafina:
Semi-Automatic Export of Electrophysiological Metadata to NFDI4Health Local Data Hubs: Use Case of Microneurography odML-Tables - A Technical Case Report. GMDS 2024: 40-48 - [c18]Md. Mostafa Kamal
Real-Time Visualization and Analysis Architecture for Data Integration Processes at Cologne University Hospital's Medical Data Integration Center. MIE 2024: 48-52 - [c17]Muhammad Adnan
Cybersecurity Frameworks in Healthcare Data: Short Literature Review. MIE 2024: 301-302 - [c16]Barbara Namer, Alina Troglio, Toralf Kirsten, Oya Beyan, Ekaterina Kutafina:
Harmonizing Microneurography Metadata with Local Data Hubs: A Concept. MIE 2024: 358-359 - [c15]Feifei Li
How Data Infrastructure Deals with Bias Problems in Medical Imaging. MIE 2024: 726-730 - 2023
- [j11]Ekaterina Kutafina, Alina Troglio, Roberto de Col, Rainer Röhrig, Peter Rossmanith, Barbara Namer:
Corrigendum: Decoding neuropathic pain: Can we predict fluctuations of propagation speed in stimulated peripheral nerve? Frontiers Comput. Neurosci. 17 (2023) - [j10]Anna Maxion, Ekaterina Kutafina, Maike F. Dohrn, Pierre Sacré, Angelika Lampert, Jenny Tigerholm, Barbara Namer:
A modelling study to dissect the potential role of voltage-gated ion channels in activity-dependent conduction velocity changes as identified in small fiber neuropathy patients. Frontiers Comput. Neurosci. 17 (2023) - [j9]Peter Konradi
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS. Frontiers Neuroinformatics 17 (2023) - [c14]Alina Troglio
odML-Tables as a Metadata Standard in Microneurography. GMDS 2023: 3-11 - [c13]Mohamed Alhaskir, Matteo Tschesche, Florian Linke, Elisabeth Schriewer, Yvonne Weber
ECG Matching: An Approach to Synchronize ECG Datasets for Data Quality Comparisons. GMDS 2023: 225-232 - [c12]Alina Troglio
odML-Tables as a Metadata Standard in Microneurography. MIE 2023: 368-369 - [c11]Mohamed Alhaskir
Spectral Fusion of Heartbeat and Accelerometer Data for Estimation of Breathing Rate in Wearable Patches. MIE 2023: 1025-1026 - 2022
- [j8]Ekaterina Kutafina
Decoding Neuropathic Pain: Can We Predict Fluctuations of Propagation Speed in Stimulated Peripheral Nerve? Frontiers Comput. Neurosci. 16 (2022) - [c10]Felix Knispel, Alexander Brenner
Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection. GMDS 2022: 33-40 - [c9]Anna Maxion, Arnim Johannes Gaebler
EEG Spectral Changes Linked to Psychiatric Medications: Computational Pipeline for Data Mining and Analysis. MIE 2022: 957-958 - 2021
- [j7]Ekaterina Kutafina
Tracking of Mental Workload with a Mobile EEG Sensor. Sensors 21(15): 5205 (2021) - [c8]Maged Mortaga, Alexander Brenner
Towards Interpretable Machine Learning in EEG Analysis. GMDS 2021: 32-38 - [c7]Fabian Schlebusch, Frederic Kehrein, Rainer Röhrig, Barbara Namer, Ekaterina Kutafina
openMNGlab: Data Analysis Framework for Microneurography - A Technical Report. GMDS 2021: 165-171 - [c6]Alina Troglio, Roberto de Col, Barbara Namer, Ekaterina Kutafina
Modeling of Activity-Induced Changes in Signal Propagation Speed of Mechano-Electrically Stimulated Nerve Fiber. MIE 2021: 93-97
2010 – 2019
- 2019
- [j6]Ekaterina Kutafina
Recursive neural networks in hospital bed occupancy forecasting. BMC Medical Informatics Decis. Mak. 19(1): 39:1-39:10 (2019) - [j5]Ekaterina Kutafina
Correction: Kutafina, E.; Laukamp, D.; Bettermann, R.; Schroeder, U.; Jonas, S.M. Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training. Sensors 2016, 16, 1221. Sensors 19(21): 4792 (2019) - [c5]Niels von Stein, Jonas Schulte-Coerne, Stephan M. Jonas
Robust Comparison of Simultaneous EEG Recordings Using Kalman Filters and Gaussian Mixture Models. dHealth 2019: 113-120 - 2018
- [j4]Andreas Burgdorf
The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices. Comput. Biol. Medicine 103: 8-16 (2018) - [c4]Marko Jovanovic, Johannes Seiffarth, Ekaterina Kutafina
Automated Error Detection in Physiotherapy Training. eHealth 2018: 164-171 - [c3]Alexander Brenner, Ekaterina Kutafina, Stephan M. Jonas
Automatic Recognition of Epileptiform EEG Abnormalities. MIE 2018: 171-175 - 2016
- [j3]Peter De Maesschalck
Sector-delayed-Hopf-type mixed-mode oscillations in a prototypical three-time-scale model. Appl. Math. Comput. 273: 337-352 (2016) - [j2]Ekaterina Kutafina, David Laukamp, Ralf Bettermann, Ulrik Schroeder
Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training. Sensors 16(8): 1221 (2016) - [c2]Halim I. Baquapuri, Ali Wajdan, Ekaterina Kutafina, Berno J. E. Misgeld, Stephan M. Jonas
Low-Cost Wearable for Fatigue and Back-Stress Measurement in Nursing. Nursing Informatics 2016: 372-376 - 2015
- [c1]Ekaterina Kutafina, David Laukamp, Stephan M. Jonas
Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG. pHealth 2015: 286-291 - 2011
- [j1]Ekaterina Kutafina:
Taylor series for the Adomian decomposition method. Int. J. Comput. Math. 88(17): 3677-3684 (2011)
Coauthor Index
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last updated on 2024-12-10 21:40 CET by the dblp team
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