Christoph Hoog Antink
Christoph Hoog Antink
Professor (Tenure Track), TU Darmstadt
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Zitiert von
Zitiert von
Ambient and unobtrusive cardiorespiratory monitoring techniques
C Brüser, CH Antink, T Wartzek, M Walter, S Leonhardt
IEEE reviews in biomedical engineering 8, 30-43, 2015
Non-contact sensing of neonatal pulse rate using camera-based imaging: a clinical feasibility study
M Paul, S Karthik, J Joseph, M Sivaprakasam, J Kumutha, S Leonhardt, ...
Physiological measurement 41 (2), 024001, 2020
Fast body part segmentation and tracking of neonatal video data using deep learning
CH Antink, JCM Ferreira, M Paul, S Lyra, K Heimann, S Karthik, J Joseph, ...
Medical & Biological Engineering & Computing 58, 3049-3061, 2020
A broader look: Camera-based vital sign estimation across the spectrum
CH Antink, S Lyra, M Paul, X Yu, S Leonhardt
Yearbook of medical informatics 28 (01), 102-114, 2019
Beat-to-beat heart rate estimation fusing multimodal video and sensor data
CH Antink, H Gao, C Brüser, S Leonhardt
Biomedical optics express 6 (8), 2895-2907, 2015
Accuracy of heart rate variability estimated with reflective wrist-PPG in elderly vascular patients
C Hoog Antink, Y Mai, M Peltokangas, S Leonhardt, N Oksala, ...
Scientific reports 11 (1), 8123, 2021
A deep learning-based camera approach for vital sign monitoring using thermography images for ICU patients
S Lyra, L Mayer, L Ou, D Chen, P Timms, A Tay, PY Chan, B Ganse, ...
Sensors 21 (4), 1495, 2021
Reducing false alarms in the ICU by quantifying self-similarity of multimodal biosignals
CH Antink, S Leonhardt, M Walter
Physiological measurement 37 (8), 1233, 2016
Noncontact monitoring of heart rate and heart rate variability in geriatric patients using photoplethysmography imaging
X Yu, T Laurentius, C Bollheimer, S Leonhardt, CH Antink
IEEE Journal of Biomedical and Health Informatics 25 (5), 1781-1792, 2020
Video-based hand movement analysis of Parkinson patients before and after medication using high-frame-rate videos and MediaPipe
G Güney, TS Jansen, S Dill, JB Schulz, M Dafotakis, C Hoog Antink, ...
Sensors 22 (20), 7992, 2022
Motion artifact quantification and sensor fusion for unobtrusive health monitoring
C Hoog Antink, F Schulz, S Leonhardt, M Walter
Sensors 18 (1), 38, 2017
UnoViS: the MedIT public unobtrusive vital signs database
T Wartzek, M Czaplik, CH Antink, B Eilebrecht, R Walocha, S Leonhardt
Health information science and systems 3, 1-9, 2015
Detection of heart beats in multimodal data: a robust beat-to-beat interval estimation approach
CH Antink, C Brüser, S Leonhardt
Physiological measurement 36 (8), 1679, 2015
Dog behaviour classification with movement sensors placed on the harness and the collar
P Kumpulainen, AV Cardó, S Somppi, H Törnqvist, H Väätäjä, ...
Applied Animal Behaviour Science 241, 105393, 2021
Reducing false arrhythmia alarms using robust interval estimation and machine learning
CH Antink, S Leonhardt
2015 Computing in Cardiology Conference (CinC), 285-288, 2015
Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors
S Zaunseder, A Vehkaoja, V Fleischhauer, CH Antink
Biomedical Signal Processing and Control 74, 103538, 2022
Ballistocardiography can estimate beat-to-beat heart rate accurately at night in patients after vascular intervention
CH Antink, Y Mai, R Aalto, C Brüser, S Leonhardt, N Oksala, A Vehkaoja
IEEE Journal of Biomedical and Health Informatics 24 (8), 2230-2237, 2020
A synthesizer framework for multimodal cardiorespiratory signals
CH Antink, S Leonhardt, M Walter
Biomedical Physics & Engineering Express 3 (3), 035028, 2017
Evaluation of advanced Lukas–Kanade optical flow on thoracic 4D-CT
CB Hoog Antink, T Singh, P Singla, M Podgorsak
Journal of clinical monitoring and computing 27, 433-441, 2013
Fusing QRS detection and robust interval estimation with a random forest to classify atrial fibrillation
CH Antink, S Leonhardt, M Walter
2017 Computing in Cardiology (CinC), 1-4, 2017
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