Walter Karlen
Walter Karlen
Mobile Health & AI Systems for Medicine
E-mail megerősítve itt: ieee.org - Kezdőlap
Hivatkozott rá
Hivatkozott rá
Multiparameter Respiratory Rate Estimation from the Photoplethysmogram
W Karlen, S Raman, JM Ansermino, GA Dumont
IEEE Transactions on Biomedical Engineering 60 (7), 1946 - 1953, 2013
Cxplain: Causal explanations for model interpretation under uncertainty
P Schwab, W Karlen
Advances in neural information processing systems 32, 2019
Sleep and wake classification with ECG and respiratory effort signals
W Karlen, C Mattiussi, D Floreano
Biomedical Circuits and Systems, IEEE Transactions on 3 (2), 71-78, 2009
Capillary refill time: is it still a useful clinical sign?
A Pickard, W Karlen, JM Ansermino
Anesthesia & Analgesia 113 (1), 120-123, 2011
CapnoBase: Signal database and tools to collect, share and annotate respiratory signals
W Karlen, M Turner, E Cooke, GA Dumont, JM Ansermino
Annual Meeting of the Society for Technology in Anesthesia (STA) 48, 25, 2010
Photoplethysmogram signal quality estimation using repeated Gaussian filters and cross-correlation
W Karlen, K Kobayashi, JM Ansermino, GA Dumont
Physiological measurement 33 (10), 1617, 2012
Development of a screening tool for sleep disordered breathing in children using the phone Oximeter™
A Garde, P Dehkordi, W Karlen, D Wensley, JM Ansermino, GA Dumont
PloS one 9 (11), e112959, 2014
Learning counterfactual representations for estimating individual dose-response curves
P Schwab, L Linhardt, S Bauer, JM Buhmann, W Karlen
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5612-5619, 2020
Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram
A Garde, W Karlen, JM Ansermino, GA Dumont
PloS one 9 (1), e86427, 2014
Perfect match: A simple method for learning representations for counterfactual inference with neural networks
P Schwab, L Linhardt, W Karlen
arXiv preprint arXiv:1810.00656, 2018
Beat by beat: Classifying cardiac arrhythmias with recurrent neural networks
P Schwab, GC Scebba, J Zhang, M Delai, W Karlen
2017 Computing in Cardiology (CinC), 1-4, 2017
Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications
W Karlen, JM Ansermino, G Dumont
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices
W Karlen, H Gan, M Chiu, D Dunsmuir, G Zhou, GA Dumont, ...
PloS one 9 (6), e99266, 2014
Empirical mode decomposition for respiratory and heart rate estimation from the photoplethysmogram
A Garde, W Karlen, P Dehkordi, JM Ansermino, GA Dumont
Computing in cardiology 2013, 799-802, 2013
Multispectral video fusion for non-contact monitoring of respiratory rate and apnea
G Scebba, G Da Poian, W Karlen
IEEE Transactions on Biomedical Engineering 68 (1), 350-359, 2020
Remote health diagnosis and monitoring in the time of COVID-19
JA Behar, C Liu, K Kotzen, K Tsutsui, VDA Corino, J Singh, MAF Pimentel, ...
Physiological measurement 41 (10), 10TR01, 2020
Ethics review of big data research: What should stay and what should be reformed?
A Ferretti, M Ienca, M Sheehan, A Blasimme, ES Dove, B Farsides, ...
BMC medical ethics 22 (1), 51, 2021
Pulse rate variability compared with heart rate variability in children with and without sleep disordered breathing
P Dehkordi, A Garde, W Karlen, D Wensley, JM Ansermino, GA Dumont
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
Malaria and the ‘last’parasite: how can technology help?
NM Pham, W Karlen, HP Beck, E Delamarche
Malaria Journal 17, 1-16, 2018
Usability testing of a prototype Phone Oximeter with healthcare providers in high‐and low‐medical resource environments
J Hudson, SM Nguku, J Sleiman, W Karlen, GA Dumont, CL Petersen, ...
Anaesthesia 67 (9), 957-967, 2012
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Cikkek 1–20