Ferster ML, Lustenberger C, Karlen W. Prototype development for mobile and automated auditory sleep stimulation. In: 1st International Symposium of the CRPP Sleep & Health, Zurich. Zurich: 2018. p. 1.

Schwab P, Khashkhashi Moghaddam MA, Karlen W. Automated Extraction of Digital Biomarkers for Parkinson ' s Disease. In: 10th Annual RECOMB/ISCB Conference on Regulatory & Systems Genomics with DREAM Challenges. New York, USA: Sage Bionetworks; 2017.     [File] 

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]      [File] 

Scebba G, Dragas J, Hu S, Karlen W. Improving ROI detection in photoplethysmographic imaging with thermal cameras. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Jeju Island, South Korea: 2017. p. 4285--88.      [DOI] 

Faihs V, Kammerer T, Hulde N, Brettner F, Rehm M, Karlen W, Kroepfl J, Spengler C, Kreth S, Schäfer S. Influence of acute normobaric and hypobaric hypoxia on hemodynamics, cognitive function, cerebral near-infrared spectroscopy and gene expression. In: 2nd Human Physiology Workshop. K{\"{o}}ln: 2017. p. 2017.

Dragas J, Karlen W. Open-Source Low-Cost Wearable Physical Activity Tracker. In: 3rd WHO Global Forum on Medical Devices. Geneva: World Health Organisation; 2017.     [File] 

Karlen W. Teaching Appropriate Medical Device Design to Engineers. In: 3rd WHO Global Forum on Medical Devices. Geneva: World Health Organisation; 2017.

Scebba G, Dragas J, Hu S, Karlen W. Thermal cameras enhance ROI detection in photoplethysmographic imaging. In: Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE). Winterthur: 2017.

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]      [File] 

Dunsmuir D, Garde A, Zhou G, Raihana S, Huda T, Karlen W, Dehkordi P, Arifeen SE, Ansermino JM. Analysis of the Predictive Potential of Pulse Oximeter Data for Admission. In: Proceedings of the 2016 Society for Technology in Anesthesia Annual Meeting. Anesthesia and analgesia; 2016. p. 75--76.

Ettinger KM, Pharaoh H, Buckman RY, Conradie H, Karlen W. Building quality mHealth for low resource settings. Journal of Medical Engineering {\&} Technology. 2016; 40(7-8):431--43.      [DOI]      [File] 

Dehkordi P, Garde A, Karlen W, Petersen CL, Wensley D, Dumont GA, Mark Ansermino J. Evaluation of cardiac modulation in children in response to apnea/hypopnea using the Phone Oximeter™. Physiological Measurement. 2016; 37(2):187--202.      [DOI]      [File] 

Garde A, Zhou G, Raihana S, Dunsmuir D, Karlen W, Dekhordi P, Huda T, Arifeen SE, Larson C, Kissoon N, Dumont GA, Ansermino JM. Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study. BMJ Open. 2016; 6(8):e011094.      [DOI]      [File] 

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.

Wiens MO, Gan H, Barigye C, Zhou G, Kumbakumba E, Kabakyenga J, Kissoon N, Ansermino JM, Karlen W, Larson CP, MacLeod SM. A cohort study of morbidity, mortality and health seeking behavior following rural health center visits by children under 12 in Southwestern Uganda. PLoS ONE. 2015; 10(1):e0118055.      [DOI] 

Karlen W. Data Quality in mHealth. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2015.      [DOI] 

Raihana S, Dunsmuir D, Huda T, Zhou G, Rahman QS, Garde A, Moinuddin M, Karlen W, Dumont GA, Kissoon N, El Arifeen S, Larson C, Ansermino JM. Development and Internal Validation of a Predictive Model Including Pulse Oximetry for Hospitalization of Under-Five Children in Bangladesh. PLoS ONE. 2015; 10(11):e0143213.      [DOI]      [File] 

Karlen W, Dunsmuir D, Ansermino JM. Efficiency of respiratory rate measurements: Comment on Black et al., 2015: “Can simple mobile phone applications provide reliable counts of respiratory rates in sick infants and children? An initial evaluation of three new applications. In: International Journal of Nursing Studies. Elsevier Ltd; 2015. p. 1279--1280.      [DOI]      [File] 

Karlen W, Garde A, Myers D, Scheffer C, Ansermino JM, Dumont GA. Estimation of Respiratory Rate From Photoplethysmographic Imaging Videos Compared to Pulse Oximetry. IEEE Journal of Biomedical and Health Informatics. 2015; 19(4):1331--8.      [DOI]      [File] 

Jaggi M, Karlen W, Keller E. Forecasting intracranial hypertension using waveform and time series features. In: Vasospasm 2015 - 13th International Conference on Neurovascular Events after Subarachnoid Hemorrhage. Nagano, Japan: 2015.

Friedman Z, Karlen W. Medical Devices and Information Communication Technologies for the Base of the Pyramid. In: Hostettler, Silvia and Hazboun, Eileen and Bolay, Jean-Claude, editors. Technologies for Development. What is Essential?. Springer International Publishing; 2015. p. 113--118.      [DOI]      [File] 

Pham NM, Karlen W. Mobile lab-on-a-chip (mLOC) for early detection of malaria in remote settings. In: Micro-Med-A. Stellenbosch: 2015.

Karlen W, Pharaoh H, Conradie H, Scheffer C. Pneumonia assessment using mHealth IMCI tools for community health workers. In: European Congress on Tropical Medicine and International Health (ECTMIH) 2015. Basel, Switzerland: 2015.

Karlen W, Raihana S, Dumont GA, Ansermino JM. PPG quality evaluation reduces SpO2 variability in spot check readings. In: Innovations and Applications of Monitoring Perfusion, Oxygenation and Ventilation (IAMPOV) 2015. Tokyo, Japan: 2015 Oct..

Jaggi M, Luca VD, Karlen W. Predicting intracranial pressure elevation using multiparameter summaries of physiological channels. In: Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE). Neuchatel, Switzerland: 2015.

Gan H, Karlen W, Dunsmuir D, Zhou G, Chiu M, Dumont GA, Ansermino JM. The Performance of a Mobile Phone Respiratory Rate Counter Compared to the WHO ARI Timer. Journal of Healthcare Engineering. 2015; 6(4):691--704.      [DOI]      [File] 

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]      [File] 

Dunsmuir D, Karlen W, Gan H, Chiu M, Petersen C, Dumont GA, Ansermino JM. A Mobile Application for Measuring Respiratory Rate. In: Canadian Pediatric Anesthesia Society (CPAS) Meeting. Quebec City, QC, Canada: 2014.

Karlen W, Wiens MO, Gan H, Dunsmuir D, Chiu M, Dumont GA, Ansermino JM. Assessing the Quality of Manual Respiratory Rate Measurements using Mobile Devices. In: Appropriate Healthcare Technologies for Low Resource Settings (AHT 2014). London, UK: IET; 2014. p. 1--4.

Karlen W, Scheffer C. Design of an interactive medical guideline application for community health workers. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2014. p. 1366--1369.      [DOI] 

Dehkordi P, Garde A, Karlen W, Petersen CL, Ansermino JM, Dumont GA. Detrended fluctuation analysis of photoplethysmogram pulse rate intervals in sleep disordered breathing. In: 2014 IEEE Healthcare Innovation Conference (HIC). Seattle: IEEE Engineering in Medicine and Biology Society; 2014. p. 323--326.      [DOI]      [File] 

Garde A, Dehkordi P, Karlen W, Wensley D, Ansermino JM, Dumont GA. Development of a screening tool for sleep disordered breathing in children using the phone oximeter™. PLoS ONE. 2014; 9(11):e112959.      [DOI]      [File] 

Wiens MO, Gan H, Kabakyenga J, Barigye C, Zhou G, Karlen W, Ansermino JM, Larson C, MacLeod S. Early and late outcomes following treatment for sick-child visits at a rural level IV Health Center in Uganda. In: 17th World Congress of Basic and Clinical Pharmacology. Cape Town: 2014.

Garde A, Karlen W, Ansermino JM, Dumont GA. Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram. PLoS ONE. 2014; 9(1):e86427.      [DOI]      [File] 

Karlen W, Gan H, Chiu M, Dunsmuir D, Zhou G, Dumont GA, Ansermino JM. Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. PLoS ONE. 2014; 9(6):e99266.      [DOI]      [File] 

Karlen, Walter, editors. Mobile Point-of-Care Monitors and Diagnostic Device Design. Boca Raton: CRC Press; 2014.     [File] 

Garde A, Karlen W, Dehkordi P, Ansermino JM, Dumont GA. Oxygen saturation resolution influences regularity measurements. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Chicago: IEEE Engineering in Medicine and Biology Society; 2014. p. 2257--60.      [DOI]      [File] 

Karlen W, Garde A, Myers D, Scheffer C, Ansermino JM, Dumont GA. Respiratory Rate Assessment from Photoplethysmographic Imaging. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Chicago,IL,USA: IEEE Engineering in Medicine and Biology Society; 2014. p. 5397--400.

Karlen W, Dumont GA, Scheffer C. Sharing Vital Signs between mobile phone applications. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2014. p. 3646--9.      [DOI]      [File] 

Dehkordi P, Garde A, Karlen W, Wensley D, Ansermino JM, Dumont GA. Sleep Stage Classification in Children Using Photoplethysmogram Pulse Rate Variability. In: Computing in Cardiology (CinC). 2014. p. 297--300.