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 | 181 | 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 | 102 | 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 | 95 | 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 | 72 | 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 | 48 | 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 | 46 | 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 | 44 | 2021 |
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 | 42 | 2022 |
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 | 39 | 2020 |
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 | 39 | 2016 |
Motion artifact quantification and sensor fusion for unobtrusive health monitoring C Hoog Antink, F Schulz, S Leonhardt, M Walter Sensors 18 (1), 38, 2017 | 35 | 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 | 31 | 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 | 28 | 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 | 26 | 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 | 25 | 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 | 22 | 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 | 22 | 2020 |
A synthesizer framework for multimodal cardiorespiratory signals CH Antink, S Leonhardt, M Walter Biomedical Physics & Engineering Express 3 (3), 035028, 2017 | 20 | 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 | 20 | 2013 |
Multimodal sensor fusion of cardiac signals via blind deconvolution: A source-filter approach CH Antink, C Brüser, S Leonhardt Computing in Cardiology 2014, 805-808, 2014 | 18 | 2014 |