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Christoph Hoog Antink

Ingenieur

Name	Christoph Hoog Antink
Place	Lohne (Oldenburg) Deutschland
Gender	männlich
Academic degree	Dr. Ing., Dipl.-Ing.
Profession	Ingenieur (characteristic profession) Hochschullehrer
Variant	Christoph Hoog Antink Christoph Bernhard Hoog Antink (vollständiger Name)
Related	Technische Universität Darmstadt. Fachbereich Elektrotechnik und Informationstechnik (Fachgebietsleitung) Medizintechnik (Thema)
Further information	Dissertation an der Rheinisch-Westfälischen Technischen Hochschule Aachen, Fakultät für Elektrotechnik und Informationstechnik, 2018. 2012 – 2017 Wissenschaftlicher Mitarbeiter am Lehrstuhl für medizinische Informationstechnik, Promotion in Elektrotechnik und Informationstechnik (Dr.-Ing.), RWTH Aachen, 2017 – 2020 Oberingenieur, Leiter der Arbeitsgruppe Medizinische Signalverarbeitung, Lehrstuhl für medizinische Informationstechnik, RWTH Aachen, 2021-2025 Assistenzprofessur (Tenure Track) für Medizintechnik, seit 2025 Professur (W3) für Medizintechnik, TU Darmstadt
Source	Dissertation
Record type	Person
GND-Identifier	1156658403
Record ID	1156658403
Involved in show all Accuracy Evaluation of 3D Pose Reconstruction Algorithms Through Stereo Camera Information Fusion for Physical Exercises with MediaPipe Pose Muscle Activity Characteristics Between Correct and Incorrect Bodyweight-Squats On the Benefit of FMG and EMG Sensor Fusion for Gesture Recognition Using Cross-Subject Validation Video-based analysis of the blink reflex in Parkinson’s disease patients An extensive quantitative analysis of the effects of errors in beat-to-beat intervals on all commonly used HRV parameters A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients Multi-modal body part segmentation of infants using deep learning Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises Analyzing the Effect of Age and Gender on the Blink Reflex using MediaPipe Limitations of Pacemaker Spike Detection in Capacitive ECGs via Deep Learning Design of Hardware Accelerators for Optimized and Quantized Neural Networks to Detect Atrial Fibrillation in Patch ECG Device with RISC-V Estimating Thoracic Movement with High-Sampling Rate THz Technology Multi-modal body part segmentation of infants using deep learning Estimation of the respiratory rate from ballistocardiograms using the Hilbert transform Camera fusion for real-time temperature monitoring of neonates using deep learning Non-Contact Measurement of Heart Rate Variability in Frail Geriatric Patients: Response to Early Geriatric Rehabilitation and Comparison with Healthy Old Community-Dwelling Individuals – A Pilot Study Accuracy of heart rate variability estimated with reflective wrist-PPG in elderly vascular patients Camera fusion for real-time temperature monitoring of neonates using deep learning Estimation of the respiratory rate from ballistocardiograms using the Hilbert transform Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe Learning from machine learning: prediction of age-related athletic performance decline trajectories Learning about reflective PPG for SpO 2 determination using Machine Learning A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients Acceleration of Longitudinal Track and Field Performance Declines in Athletes Who Still Compete at the Age of 100 Years Acceleration of Longitudinal Track and Field Performance Declines in Athletes Who Still Compete at the Age of 100 Years Learning about reflective PPG for SpO2 determination using Machine Learning Learning from machine learning : prediction of age-related athletic performance decline trajectories Learning from machine learning: prediction of age-related athletic performance decline trajectories Fast body part segmentation and tracking of neonatal video data using deep learning Model-based sensor fusion of multimodal cardiorespiratory signals using an unscented Kalman filter Car Seats with Capacitive ECG Electrodes Can Detect Cardiac Pacemaker Spikes Fast body part segmentation and tracking of neonatal video data using deep learning Model-based sensor fusion of multimodal cardiorespiratory signal using an unscented Kalman filter A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum Modeling photoplethysmographic signals in camera-based perfusion measurements : optoelectronic skin phantom On sensor fusion for multimodal cardiorespiratory signals Motion Artifact Quantification and Sensor Fusion for Unobtrusive Health Monitoring UnoViS : the MedIT public unobtrusive vital signs database Monitoring of lobectomy in cystic fibrosis with electrical impedance tomography – a new diagnostic tool 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 Quantification of Respiratory Sinus Arrhythmia with High-Framerate Electrical Impedance Tomography

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Katalog der Deutschen Nationalbibliothek

Christoph Hoog Antink

Accuracy Evaluation of 3D Pose Reconstruction Algorithms Through Stereo Camera Information Fusion for Physical Exercises with MediaPipe Pose

Muscle Activity Characteristics Between Correct and Incorrect Bodyweight-Squats

On the Benefit of FMG and EMG Sensor Fusion for Gesture Recognition Using Cross-Subject Validation

Video-based analysis of the blink reflex in Parkinson’s disease patients

An extensive quantitative analysis of the effects of errors in beat-to-beat intervals on all commonly used HRV parameters

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

Multi-modal body part segmentation of infants using deep learning

Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises

Analyzing the Effect of Age and Gender on the Blink Reflex using MediaPipe

Limitations of Pacemaker Spike Detection in Capacitive ECGs via Deep Learning

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

Estimating Thoracic Movement with High-Sampling Rate THz Technology

Multi-modal body part segmentation of infants using deep learning

Estimation of the respiratory rate from ballistocardiograms using the Hilbert transform

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

Non-Contact Measurement of Heart Rate Variability in Frail Geriatric Patients: Response to Early Geriatric Rehabilitation and Comparison with Healthy Old Community-Dwelling Individuals – A Pilot Study

Accuracy of heart rate variability estimated with reflective wrist-PPG in elderly vascular patients

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

Estimation of the respiratory rate from ballistocardiograms using the Hilbert transform

Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning

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

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

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

Learning from machine learning: prediction of age-related athletic performance decline trajectories

Learning about reflective PPG for SpO 2 determination using Machine Learning

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

Acceleration of Longitudinal Track and Field Performance Declines in Athletes Who Still Compete at the Age of 100 Years

Acceleration of Longitudinal Track and Field Performance Declines in Athletes Who Still Compete at the Age of 100 Years

Learning about reflective PPG for SpO2 determination using Machine Learning

Learning from machine learning : prediction of age-related athletic performance decline trajectories

Learning from machine learning: prediction of age-related athletic performance decline trajectories

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

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

Car Seats with Capacitive ECG Electrodes Can Detect Cardiac Pacemaker Spikes

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

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

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

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

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

On sensor fusion for multimodal cardiorespiratory signals

Motion Artifact Quantification and Sensor Fusion for Unobtrusive Health Monitoring

UnoViS : the MedIT public unobtrusive vital signs database

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

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

Quantification of Respiratory Sinus Arrhythmia with High-Framerate Electrical Impedance Tomography