Coleman J, Ginsburg AS, Macharia WM, Ochieng R, Chomba D, Zhou G, Dunsmuir D, Karlen W, Ansermino JM. Assessment of neonatal respiratory rate variability. Journal of Clinical Monitoring and Computing. 2022; ahead of print.      [DOI]  [Weblink] 

Scebba G, Zhang J, Catanzaro S, Mihai C, Distler O, Berli M, Karlen W. Detect-and-segment: A deep learning approach to automate wound image segmentation. Informatics in Medicine Unlocked. 2022; 29100884.      [DOI]      [Datei] 

Zhang J, Karlen W. A novel quality indicator for displaying and comparing the missingness of the PPG derived respiratory rate. In: Society for Technology in Anaesthesia Annual Meeting 2021 (STA 2021). 2021. p. 67.      [DOI] 

Muroi C, Meier S, De Luca V, Mack DJ, Strässle C, Schwab P, Karlen W, Keller E. Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection. Neurocritical Care. 2020; 32(2):419--426.      [DOI]      [Datei] 

Zhang J, Scebba G, Karlen W. Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate. In: 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Montreal, CA: IEEE; 2020. p. 5939--42.      [DOI]      [Datei] 

Karlen W. Automated point-of-care processing and interpretation of pulse oximetry for global health applications. In: 41st International Engineering in Medicine and Biology Conference: Biomedical Engineering Ranging From Wellness To Intensive Care (EMBC 2019). 2019. p. WeC04.4.      [DOI] 

Ferster ML, Lustenberger C, Karlen W. Hitting the phase : How filtering parameters affect the EEG slow wave phase analysis. In: International Conference on Advanced Sleep Modulation Technologies. Monte Verita, Ascona, Switzerland: 2019.

Scebba G, Tüshaus L, Karlen W. Multispectral camera fusion increases robustness of ROI detection for biosignal estimation with nearables in real-world scenarios. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Honolulu, HI, USA: IEEE; 2018 Jul.. p. 5672--5.      [DOI]      [Datei] 

Schwab P, Scebba GC, Zhang J, Delai M, Karlen W. Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. Computing in Cardiology (CinC). 2017 Sep.; 441--4.      [DOI]      [Datei] 

Ding X, Zhang Y, Tsang HK, Karlen W. A pulse transit time based fusion method for the noninvasive and continuous monitoring of respiratory rate. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE; 2016. p. 4240--3.      [DOI]      [Datei] 

Luca VD, Jaggi M, Karlen W, Keller E. Temporal prediction of cerebral hypoxia in neurointensive care patients: a feasibility study. In: International Symposium on Intracranial Pressure and Neuromonitoring. 2016. p. 86--87.

Karlen W, Petersen CL, Dumont GA, Ansermino JM. Variability in estimating shunt from single pulse oximetry measurement. Physiological Measurement. 2015; 36(5):967--981.      [DOI]      [Datei] 

Garde A, Karlen W, Dehkordi P, Ansermino JM, Dumont GA. Empirical mode decomposition for respiratory and heart rate estimation from the photoplethysmogram. In: Murray, Alan, editors. Computing in Cardiology (CinC). Zaragoza: IEEE; 2013. p. 799--802.     [Datei] 

Brouse CJ, Karlen W, Dumont GA, Myers D, Cooke E, Stinson J, Lim J, Ansermino JM. Monitoring nociception during general anesthesia with cardiorespiratory coherence. Journal of clinical monitoring and computing. 2013; 27(5):551--60.      [DOI]      [Datei] 

Karlen W, Raman S, Ansermino JM, Dumont GA. Multiparameter respiratory rate estimation from the photoplethysmogram. IEEE Transactions on Biomedical Engineering. 2013; 60(7):1946--53.      [DOI]      [Datei] 

Brouse CJ, Karlen W, Myers D, Cooke E, Stinson J, Lim J, Ansermino JM. Measuring Adequacy of Analgesia with Cardiorespiratory Coherence. In: Abstracts of the 2012 Annual Meeting of the Society for Technology in Anesthesia (STA). West Palm Beach: Anesthesia and analgesia; 2012. p. S8.      [DOI]      [Datei] 

Brouse CJ, Karlen W, Myers D, Cooke E, Stinson J, Lim J, Dumont GA, Ansermino JM. Wavelet transform cardiorespiratory coherence detects patient movement during general anesthesia. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2011 Aug.. p. 6114--7.      [DOI]      [Datei] 

Karlen W, Petersen C, Gow J, Ansermino JM, Dumont GA. An Adaptive Single Frequency Phase Vocoder For Low-power Heart Rate Detection. In: BIODEVICES 2011 - Proceedings of the International Conference on Biomedical Electronics and Devices, Rome, Italy, January 26-29, 2011. INSTICC Press; 2011. p. 30--35.