Taylor series for the Adomian decomposition method. - Ekaterina Kutafina (Int. J. Comput. Math., 2011)

Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG. - Ekaterina Kutafina; David Laukamp; Stephan M. Jonas (pHealth, 2015)

Low-Cost Wearable for Fatigue and Back-Stress Measurement in Nursing. - Halim I. Baquapuri; Ali Wajdan; Ekaterina Kutafina; Berno J. E. Misgeld; Stephan M. Jonas (Nursing Informatics, 2016)

Sector-delayed-Hopf-type mixed-mode oscillations in a prototypical three-time-scale model. - Peter De Maesschalck; Ekaterina Kutafina; Nikola Popovic (Appl. Math. Comput., 2016)

Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training. - Ekaterina Kutafina; David Laukamp; Ralf Bettermann; Ulrik Schroeder; Stephan M. Jonas (Sensors, 2016)

Automated Error Detection in Physiotherapy Training. - Marko Jovanovic; Johannes Seiffarth; Ekaterina Kutafina; Stephan M. Jonas (eHealth, 2018)

Automatic Recognition of Epileptiform EEG Abnormalities. - Alexander Brenner; Ekaterina Kutafina; Stephan M. Jonas (MIE, 2018)

The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices. - Andreas Burgdorf; Inga Güthe; Marko Jovanovic; Ekaterina Kutafina; Christian Kohlschein; Jó Ágila Bitsch; Stephan M. Jonas (Comput. Biol. Medicine, 2018)

Robust Comparison of Simultaneous EEG Recordings Using Kalman Filters and Gaussian Mixture Models. - Niels von Stein; Jonas Schulte-Coerne; Stephan M. Jonas; Ekaterina Kutafina (dHealth, 2019)

Recursive neural networks in hospital bed occupancy forecasting. - Ekaterina Kutafina; Istvan Bechtold; Klaus Kabino; Stephan M. Jonas (BMC Medical Informatics Decis. Mak., 2019)

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. - Ekaterina Kutafina; David Laukamp; Ralf Bettermann; Ulrik Schroeder; Stephan M. Jonas (Sensors, 2019)

Towards Interpretable Machine Learning in EEG Analysis. - Maged Mortaga; Alexander Brenner; Ekaterina Kutafina (GMDS, 2021)

openMNGlab: Data Analysis Framework for Microneurography - A Technical Report. - Fabian Schlebusch; Frederic Kehrein; Rainer Röhrig; Barbara Namer; Ekaterina Kutafina (GMDS, 2021)

Modeling of Activity-Induced Changes in Signal Propagation Speed of Mechano-Electrically Stimulated Nerve Fiber. - Alina Troglio; Roberto de Col; Barbara Namer; Ekaterina Kutafina (MIE, 2021)

Tracking of Mental Workload with a Mobile EEG Sensor. - Ekaterina Kutafina; Anne Heiligers; Radomir Popovic; Alexander Brenner; Bernd Hankammer; Stephan M. Jonas; Klaus Mathiak; Jana Zweerings (Sensors, 2021)

Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection. - Felix Knispel; Alexander Brenner; Rainer Röhrig; Yvonne Weber; Julian Varghese; Ekaterina Kutafina (GMDS, 2022)

EEG Spectral Changes Linked to Psychiatric Medications: Computational Pipeline for Data Mining and Analysis. - Anna Maxion; Arnim Johannes Gaebler; Daniela Albiez; Klaus Mathiak; Jana Zweerings; Ekaterina Kutafina (MIE, 2022)

Decoding Neuropathic Pain: Can We Predict Fluctuations of Propagation Speed in Stimulated Peripheral Nerve? - Ekaterina Kutafina; Alina Troglio; Roberto de Col; Rainer Röhrig; Peter Rossmanith; Barbara Namer (Frontiers Comput. Neurosci., 2022)

ECG Matching: An Approach to Synchronize ECG Datasets for Data Quality Comparisons. - Mohamed Alhaskir; Matteo Tschesche; Florian Linke; Elisabeth Schriewer; Yvonne Weber; Stefan Wolking; Rainer Röhrig; Henner Koch; Ekaterina Kutafina (GMDS, 2023)

odML-Tables as a Metadata Standard in Microneurography. - Alina Troglio; Aidan Nickerson; Fabian Schlebusch; Rainer Röhrig; James Dunham; Barbara Namer; Ekaterina Kutafina (GMDS, 2023)

Spectral Fusion of Heartbeat and Accelerometer Data for Estimation of Breathing Rate in Wearable Patches. - Mohamed Alhaskir; Jennifer Bauer; Florian Linke; Elisabeth Schriewer; Yvonne Weber; Stefan Wolking; Rainer Röhrig; Markus Rothermel; Henner Koch; Ekaterina Kutafina (MIE, 2023)

odML-Tables as a Metadata Standard in Microneurography. - Alina Troglio; Fabian Schlebusch; Rainer Röhrig; James Dunham; Barbara Namer; Ekaterina Kutafina (MIE, 2023)

Corrigendum: Decoding neuropathic pain: Can we predict fluctuations of propagation speed in stimulated peripheral nerve? - Ekaterina Kutafina; Alina Troglio; Roberto de Col; Rainer Röhrig; Peter Rossmanith; Barbara Namer (Frontiers Comput. Neurosci., 2023)

PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS. - Peter Konradi; Alina Troglio; Ariadna Pérez Garriga; Aarón Pérez Martín; Rainer Röhrig; Barbara Namer; Ekaterina Kutafina (Frontiers Neuroinformatics, 2023)

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. - Anna Maxion; Ekaterina Kutafina; Maike F. Dohrn; Pierre Sacré; Angelika Lampert; Jenny Tigerholm; Barbara Namer (Frontiers Comput. Neurosci., 2023)

Semi-Automatic Export of Electrophysiological Metadata to NFDI4Health Local Data Hubs: Use Case of Microneurography odML-Tables - A Technical Case Report. - Alina Troglio; Masoud Abedi; Martin Golebiewski; Frank A. Meineke; Toralf Kirsten; Barbara Namer; Oya Beyan; Ekaterina Kutafina (GMDS, 2024)

Cybersecurity Frameworks in Healthcare Data: Short Literature Review. - Muhammad Adnan; Ekaterina Kutafina; Oya Beyan (MIE, 2024)

Real-Time Visualization and Analysis Architecture for Data Integration Processes at Cologne University Hospital's Medical Data Integration Center. - Md. Mostafa Kamal; Ekaterina Kutafina; Oya Beyan (MIE, 2024)

How Data Infrastructure Deals with Bias Problems in Medical Imaging. - Feifei Li; Ekaterina Kutafina; Mirjam Schöneck; Liliana Lourenco Caldeira; Oya Beyan (MIE, 2024)

Harmonizing Microneurography Metadata with Local Data Hubs: A Concept. - Barbara Namer; Alina Troglio; Toralf Kirsten; Oya Beyan; Ekaterina Kutafina (MIE, 2024)

Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography. - Alexander Brenner; Felix Knispel; Florian P. Fischer; Peter Rossmanith; Yvonne Weber; Henner Koch; Rainer Röhrig; Julian Varghese; Ekaterina Kutafina (Comput. Methods Programs Biomed., 2024)

Spectral changes in electroencephalography linked to neuroactive medications: A computational pipeline for data mining and analysis. - Anna Maxion; Arnim Johannes Gaebler; Rainer Röhrig; Klaus Mathiak; Jana Zweerings; Ekaterina Kutafina (Comput. Methods Programs Biomed., 2024)