Christoph Hoog Antink
Orcid: 0000-0001-7948-8181
According to our database1,
Christoph Hoog Antink
authored at least 49 papers
between 2013 and 2024.
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Bibliography
2024
Evaluation of Accuracy and Angle Dependency of 3D Pose Estimation through Stereo Camera Information Fusion with MediaPipe Pose.
Proceedings of the 27th International Conference on Information Fusion, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Design of Hardware Accelerators for Optimized and Quantized Neural Networks to Detect Atrial Fibrillation in Patch ECG Device with RISC-V.
Sensors, March, 2023
Softw. Pract. Exp., 2023
Automatic Generation of Labeled Data for Video-Based Human Pose Analysis via NLP applied to YouTube Subtitles.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Transformer Network with Time Prior for Predicting Clinical Outcome from EEG of Cardiac Arrest Patients.
Proceedings of the Computing in Cardiology, 2023
Using Consumer Camera and Custom Firmware to Monitor Heart Rate in Terminally Ill Children during Music Therapy.
Proceedings of the Computing in Cardiology, 2023
2022
Unobtrusive Measurement of Physiological Features Under Simulated and Real Driving Conditions.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Instrum. Meas., 2022
Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe.
Sensors, 2022
Medical Biol. Eng. Comput., 2022
Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors.
Biomed. Signal Process. Control., 2022
Detection of atrial fibrillation with an optimized neural network on a RISC-V-based microcontroller for efficient integration into ECG patches.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022
Comparison of Electrode Configurations for Impedance Plethysmography Based Heart Rate Estimation at the Forearm.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022
Proceedings of the Computing in Cardiology, 2022
2021
Noncontact Monitoring of Heart Rate and Heart Rate Variability in Geriatric Patients Using Photoplethysmography Imaging.
IEEE J. Biomed. Health Informatics, 2021
Copula-Based Data Augmentation on a Deep Learning Architecture for Cardiac Sensor Fusion.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Biomed. Circuits Syst., 2021
A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients.
Sensors, 2021
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021
Improving Machine Learning Education During the COVID-Pandemic Using Past Computing in Cardiology Challenges.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Multi-label Classification of Cardiac Abnormalities for Multi-lead ECG Recordings Based on Auto-encoder Features and a Neural Network Classifier.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Ballistocardiography Can Estimate Beat-to-Beat Heart Rate Accurately at Night in Patients After Vascular Intervention.
IEEE J. Biomed. Health Informatics, 2020
Physiological Motion Artifacts in Capacitive ECG: Ballistocardiographic Impedance Distortions.
IEEE Trans. Instrum. Meas., 2020
Sensors, 2020
Medical Biol. Eng. Comput., 2020
Model-based sensor fusion of multimodal cardiorespiratory signals using an unscented Kalman filter.
Autom., 2020
Classification of 12-lead ECGs Using Gradient Boosting on Features Acquired With Domain-Specific and Domain-Agnostic Methods.
Proceedings of the Computing in Cardiology, 2020
2019
IEEE Trans. Biomed. Circuits Syst., 2019
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019
Using a Motion Capture System as Reference for Motion Tracking in Photoplethysmography Imaging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Early Prediction of Sepsis Using Random Forest Classification for Imbalanced Clinical Data.
Proceedings of the 46th Computing in Cardiology, 2019
On the Performance of Bed-Integrated Ballistocardiography in Long-Term Heart Rate Monitoring of Vascular Patients.
Proceedings of the 46th Computing in Cardiology, 2019
2018
Sensors, 2018
Non-Contact Remote Measurement of Heart Rate Variability using Near-Infrared Photoplethysmography Imaging.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Modelling and Synthesizing Motion Artifacts in Unobtrusive Multimodal Sensing using Copulas.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Local Interval Estimation Improves Accuracy and Robustness of Heart Rate Variability Derivation from Photoplethysmography.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Signal-Level Fusion With Convolutional Neural Networks for Capacitively Coupled ECG in the Car.
Proceedings of the Computing in Cardiology, 2018
2017
MuSeSe - A multisensor armchair for unobtrusive vital sign estimation and motion artifact analysis.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Fusing QRS Detection, Waveform Features, and Robust Interval Estimation with a Random Forest to Classify Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Nonnegative Matrix Factorization and Random Forest for Classification of Heart Sound Recordings in the Spectral Domain.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Health Inf. Sci. Syst., 2015
Determining the Connection between Capacitively Coupled Electrocardiography Data and the Ground Truth.
Proceedings of the Computing in Cardiology, 2015
Reducing False Arrhythmia Alarms Using Robust Interval Estimation and Machine Learning.
Proceedings of the Computing in Cardiology, 2015
2014
Multimodal Sensor Fusion of Cardiac Signals via Blind Deconvolution: A Source-Filter Approach.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Proceedings of the Computing in Cardiology, 2013