C. H. Antink

发表

Application of internal electrodes to the oesophageal and tracheal tube in an animal trial: evaluation of its clinical and technical potentiality in electrical impedance tomography

S. Leonhardt, R. Rossaint, M. Czaplik, 2014, Journal of Clinical Monitoring and Computing.

Classification of 12-lead ECGs Using Gradient Boosting on Features Acquired With Domain-Specific and Domain-Agnostic Methods

Durmus Umutcan Uguz, S. Leonhardt, C. H. Antink, 2020, 2020 Computing in Cardiology.

Camera fusion for real-time temperature monitoring of neonates using deep learning

S. Leonhardt, C. Hoog Antink, J. Joseph, 2022, Medical & Biological Engineering & Computing.

Early Prediction of Sepsis Using Random Forest Classification for Imbalanced Clinical Data

S. Leonhardt, C. H. Antink, Simon Lyra, 2019, 2019 Computing in Cardiology (CinC).

QUANTIFICATION OF RESPIRATORY SINUS ARRHYTHMIA WITH HIGH-FRAMERATE ELECTRICAL IMPEDANCE TOMOGRAPHY

S. Leonhardt, C. H. Antink, 2013 .

Analyzing Cardio-Respiratory Coupling with High-Framerate EIT: A Proof of Concept

C. H. Antink, 2013 .

Comparison of Electrode Configurations for Impedance Plethysmography Based Heart Rate Estimation at the Forearm

A. Vehkaoja, C. H. Antink, Kardelen Yılmaz, 2022, 2022 IEEE Sensors.

UnoViS: the MedIT public unobtrusive vital signs database

Steffen Leonhardt, Michael Czaplik, Christoph Hoog Antink, 2015, Health Information Science and Systems.

Modeling of motion artifacts in contactless heart rate measurements

Steffen Leonhardt, Susana Aguiar Santos, Thomas Schlebusch, 2013, Computing in Cardiology 2013.

Noncontact Monitoring of Heart Rate and Heart Rate Variability in Geriatric Patients Using Photoplethysmography Imaging

Steffen Leonhardt, Christoph Hoog Antink, Xinchi Yu, 2020, IEEE Journal of Biomedical and Health Informatics.

Non-Contact Remote Measurement of Heart Rate Variability using Near-Infrared Photoplethysmography Imaging

Steffen Leonhardt, Daniel Teichmann, Vladimir Blazek, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Local Interval Estimation Improves Accuracy and Robustness of Heart Rate Variability Derivation from Photoplethysmography

Steffen Leonhardt, Marian Walter, Christoph Hoog Antink, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum

Steffen Leonhardt, Christoph Hoog Antink, Xinchi Yu, 2019, Yearbook of Medical Informatics.

Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors

A. Vehkaoja, S. Zaunseder, C. H. Antink, 2022, Biomed. Signal Process. Control..

Copula-Based Data Augmentation on a Deep Learning Architecture for Cardiac Sensor Fusion

Steffen Leonhardt, Christoph Hoog Antink, Diogo Silva, 2020, IEEE Journal of Biomedical and Health Informatics.

DeepPlayer: An open‐source SignalPlant plugin for deep learning inference

F. Plesinger, P. Leinveber, R. Smíšek, 2022, Softw. Pract. Exp..

A Novel Sensor Design for Amplitude Modulated Measurement of Capacitive ECG

Markus J. Lüken, Durmus Umutcan Uguz, S. Leonhardt, 2022, IEEE Transactions on Instrumentation and Measurement.

Design of Hardware Accelerators for Optimized and Quantized Neural Networks to Detect Atrial Fibrillation in Patch ECG Device with RISC-V

H. Kappert, K. Seidl, A. Utz, 2023, Sensors.

Detection of atrial fibrillation with an optimized neural network on a RISC-V-based microcontroller for efficient integration into ECG patches

K. Seidl, A. Utz, C. H. Antink, 2022, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Modelling and Synthesizing Motion Artifacts in Unobtrusive Multimodal Sensing using Copulas

Steffen Leonhardt, Christoph Hoog Antink, Felix Berief, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A shape-based quality evaluation and reconstruction method for electrical impedance tomography

Robert Pikkemaat, Steffen Leonhardt, Jaakko Malmivuo, 2015, Physiological measurement.

Reducing false alarms in the ICU by quantifying self-similarity of multimodal biosignals

Steffen Leonhardt, Marian Walter, Christoph Hoog Antink, 2016, Physiological measurement.

A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients

Steffen Leonhardt, Christoph Hoog Antink, Simon Lyra, 2021, Sensors.

Using a Motion Capture System as Reference for Motion Tracking in Photoplethysmography Imaging

Steffen Leonhardt, Christoph Hoog Antink, Xinchi Yu, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Monitoring of lobectomy in cystic fibrosis with electrical impedance tomography – a new diagnostic tool

Steffen Leonhardt, Robert Pikkemaat, Christoph Hoog Antink, 2014, Biomedizinische Technik. Biomedical engineering.

Ambient and Unobtrusive Cardiorespiratory Monitoring Techniques

Steffen Leonhardt, Marian Walter, Christoph Bruser, 2015, IEEE Reviews in Biomedical Engineering.

Quantifying cardiorespiratory thorax movement with motion capture and deconvolution

Steffen Leonhardt, Marian Walter, Christoph Hoog Antink, 2017 .

Spatial Analysis of Cardiorespiratory Thorax Movement with Motion Capture and Deconvolution

B. Penzlin, C. H. Antink, H. David, 2017 .

Portable Bioimpedance Spectroscopy device and textile electrodes for mobile monitoring applications

Steffen Leonhardt, Thomas Gries, Robert Pikkemaat, 2010 .

Beat-to-beat heart rate estimation fusing multimodal video and sensor data.

Steffen Leonhardt, Christoph Hoog Antink, Christoph Brüser, 2015, Biomedical optics express.

Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe

Anne K. Braczynski, M. Dafotakis, C. H. Antink, 2022, Italian National Conference on Sensors.

Fast body part segmentation and tracking of neonatal video data using deep learning

Mohanasankar Sivaprakasam, Jayaraj Joseph, Steffen Leonhardt, 2020, Medical & Biological Engineering & Computing.

Nonnegative matrix factorization and random forest for classification of heart sound recordings in the spectral domain

Steffen Leonhardt, Marian Walter, Christoph Hoog Antink, 2016, 2016 Computing in Cardiology Conference (CinC).

Multi-label Classification of Cardiac Abnormalities for Multi-lead ECG Recordings Based on Auto-encoder Features and a Neural Network Classifier

S. Leonhardt, C. H. Antink, Onno Linschmann, 2021, 2021 Computing in Cardiology (CinC).

Modeling photoplethysmographic signals in camera-based perfusion measurements: optoelectronic skin phantom.

Vladimir Blazek, Steffen Leonhardt, Christoph Hoog Antink, 2019, Biomedical optics express.

Motion Artifact Quantification and Sensor Fusion for Unobtrusive Health Monitoring

Steffen Leonhardt, Marian Walter, Christoph Hoog Antink, 2017, Sensors.

Signal-Level Fusion with Convolutional Neural Networks for Capacitively Coupled ECG in the Car

Steffen Leonhardt, Christoph Hoog Antink, Durmus Umutcan Uguz, 2018, 2018 Computing in Cardiology Conference (CinC).

Improving Machine Learning Education During the COVID-Pandemic Using Past Computing in Cardiology Challenges

F. Plesinger, V. Bulkova, C. H. Antink, 2021, 2021 Computing in Cardiology (CinC).

Photoplethysmography imaging:camera performance evaluation by means of an optoelectronic skin perfusion phantom

Vladimir Blazek, Stefan Borik, Steffen Leonhardt, 2020, Physiological measurement.

Car Seats with Capacitive ECG Electrodes Can Detect Cardiac Pacemaker Spikes

Steffen Leonhardt, Christoph Hoog Antink, Marian Walter, 2020, Sensors.

UnoViS: the MedIT public unobtrusive vital signs database

S. Leonhardt, T. Wartzek, M. Czaplik, 2015, Health Inf. Sci. Syst..

Ballistocardiographic Coupling of Triboelectric Charges into Capacitive ECG

Steffen Leonhardt, Tianyun Wang, Christoph Hoog Antink, 2019, 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

A shape-based quality evaluation and reconstruction method for electrical impedance tomography

S. Leonhardt, J. Malmivuo, R. Pikkemaat, 2015, Physiological measurement.

A GREIT-type linear reconstruction algorithm for EIT using eigenimages

Steffen Leonhardt, Robert Pikkemaat, Christoph Hoog Antink, 2013 .

Transformer Network with Time Prior for Predicting Clinical Outcome from EEG of Cardiac Arrest Patients

C. H. Antink, Gökhan Güney, Sebastian Dill, 2023, 2023 Computing in Cardiology (CinC).

Detection of heart beats in multimodal data: a robust beat-to-beat interval estimation approach

Steffen Leonhardt, Christoph Hoog Antink, Christoph Brüser, 2015, Physiological measurement.

Model-based sensor fusion of multimodal cardiorespiratory signals using an unscented Kalman filter

Steffen Leonhardt, Christoph Hoog Antink, Onno Linschmann, 2020, Autom..