Christoph Hoog Antink

Orcid: 0000-0001-7948-8181

According to our database1, Christoph Hoog Antink authored at least 47 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

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

DeepPlayer: An open-source SignalPlant plugin for deep learning inference.
Softw. Pract. Exp., 2023

Estimating Thoracic Movement with High-Sampling Rate THz Technology.
Sensors, 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

A Novel Sensor Design for Amplitude Modulated Measurement of Capacitive ECG.
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

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

Two-Stage Multitask-Learner for PCG Murmur Location Detection.
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

A Neonatal Phantom for Vital Signs Simulation.
IEEE Trans. Biomed. Circuits Syst., 2021

A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients.
Sensors, 2021

Modulated ECG: Utilization of the Time-Variant Coupling in Capacitive ECG.
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

Car Seats with Capacitive ECG Electrodes Can Detect Cardiac Pacemaker Spikes.
Sensors, 2020

Fast body part segmentation and tracking of neonatal video data using deep learning.
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
A Multi-Modal Sensor for a Bed-Integrated Unobtrusive Vital Signs Sensing Array.
IEEE Trans. Biomed. Circuits Syst., 2019

Ballistocardiographic Coupling of Triboelectric Charges into Capacitive ECG.
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

Waveform Analysis for Camera-based Photoplethysmography Imaging.
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
Motion Artifact Quantification and Sensor Fusion for Unobtrusive Health Monitoring.
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
Estimation of End-Diastolic Pressure via Deconvolution.
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
UnoViS: the MedIT public unobtrusive vital signs database.
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
Modeling of Motion Artifacts in Contactless Heart Rate Measurements.
Proceedings of the Computing in Cardiology, 2013


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