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  2021 (10)
Multispectral Video Fusion for Non-Contact Monitoring of Respiratory Rate and Apnea. Scebba, G.; Da Poian, G.; and Karlen, W. IEEE Transactions on Biomedical Engineering, 68(1): 350-9. 2021.
Multispectral Video Fusion for Non-Contact Monitoring of Respiratory Rate and Apnea [link]Website   link   bibtex   abstract  
Injury risks among elite competitive alpine skiers are underestimated if not registered prospectively, over the entire season and regardless of whether requiring medical attention. Fröhlich, S.; Helbling, M.; Fucentese, S., F.; Karlen, W.; Frey, W., O.; and Spörri, J. Knee Surgery, Sports Traumatology, Arthroscopy, 29(5): 1635-1643. 5 2021.
Injury risks among elite competitive alpine skiers are underestimated if not registered prospectively, over the entire season and regardless of whether requiring medical attention [pdf]Paper   Injury risks among elite competitive alpine skiers are underestimated if not registered prospectively, over the entire season and regardless of whether requiring medical attention [link]Website   link   bibtex  
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. Schwab, P.; and Karlen, W. IEEE Journal of Biomedical and Health Informatics, 25(4): 1284-1291. 4 2021.
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data [pdf]Paper   A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data [link]Website   link   bibtex   abstract  
Ethics review of big data research: What should stay and what should be reformed?. Ferretti, A.; Ienca, M.; Sheehan, M.; Blasimme, A.; Dove, E., S.; Farsides, B.; Friesen, P.; Kahn, J.; Karlen, W.; Kleist, P.; Liao, S., M.; Nebeker, C.; Samuel, G.; Shabani, M.; Rivas Velarde, M.; and Vayena, E. BMC Medical Ethics, 22(1): 51. 12 2021.
Ethics review of big data research: What should stay and what should be reformed? [pdf]Paper   Ethics review of big data research: What should stay and what should be reformed? [link]Website   link   bibtex  
A response to Basner et al. (2021): “Response speed measurements on the psychomotor vigilance task: how precise is precise enough?”. Snipes, S.; Huber, R.; and Karlen, W. Sleep, 44(7). 7 2021.
A response to Basner et al. (2021): “Response speed measurements on the psychomotor vigilance task: how precise is precise enough?” [pdf]Paper   A response to Basner et al. (2021): “Response speed measurements on the psychomotor vigilance task: how precise is precise enough?” [link]Website   link   bibtex  
Exergaming Using Postural Feedback From Wearable Sensors and Exercise Therapy to Improve Postural Balance in People With Nonspecific Low Back Pain: Protocol for a Factorial Pilot Randomized Controlled Trial. Meinke, A.; Peters, R.; Knols, R.; Karlen, W.; and Swanenburg, J. JMIR Research Protocols, 10(8): e26982. 8 2021.
Exergaming Using Postural Feedback From Wearable Sensors and Exercise Therapy to Improve Postural Balance in People With Nonspecific Low Back Pain: Protocol for a Factorial Pilot Randomized Controlled Trial [link]Website   link   bibtex  
Neuromodulation by means of phase-locked auditory stimulation affects key marker of excitability and connectivity during sleep. Sousouri, G.; Krugliakova, E.; Skorucak, J.; Leach, S.; Snipes, S.; Ferster, M., L.; Da Poian, G.; Karlen, W.; and Huber, R. Sleep. 8 2021.
Neuromodulation by means of phase-locked auditory stimulation affects key marker of excitability and connectivity during sleep [pdf]Paper   Neuromodulation by means of phase-locked auditory stimulation affects key marker of excitability and connectivity during sleep [link]Website   link   bibtex   abstract  
Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study. Zhang, J.; Mihai, C.; Tüshaus, L.; Scebba, G.; Distler, O.; and Karlen, W. JMIR mHealth and uHealth, 9(7): e26149. 7 2021.
Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study [pdf]Paper   Wound Image Quality From a Mobile Health Tool for Home-Based Chronic Wound Management With Real-Time Quality Feedback: Randomized Feasibility Study [link]Website   link   bibtex  
Identification of thresholds for accuracy comparisons of heart rate and respiratory rate in neonates. Coleman, J.; Ginsburg, A., S.; Macharia, W., M.; Ochieng, R.; Zhou, G.; Dunsmuir, D.; Karlen, W.; and Ansermino, J., M. Gates Open Research, 5: 93. 6 2021.
Identification of thresholds for accuracy comparisons of heart rate and respiratory rate in neonates [pdf]Paper   Identification of thresholds for accuracy comparisons of heart rate and respiratory rate in neonates [link]Website   link   bibtex   abstract  
Diurnal variations in multi-sensor wearable-derived sleep characteristics in morning- and evening-type shift workers under naturalistic conditions. Clark, I.; Stucky, B.; Azza, Y.; Schwab, P.; Müller, S.; Weibel, D.; Button, D.; Karlen, W.; Seifritz, E.; Kleim, B.; and Landolt, H. Chronobiology International,accepted. 7 2021.
Diurnal variations in multi-sensor wearable-derived sleep characteristics in morning- and evening-type shift workers under naturalistic conditions [pdf]Paper   Diurnal variations in multi-sensor wearable-derived sleep characteristics in morning- and evening-type shift workers under naturalistic conditions [link]Website   link   bibtex   abstract  
  2020 (9)
Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection. Muroi, C.; Meier, S.; De Luca, V.; Mack, D., J.; Strässle, C.; Schwab, P.; Karlen, W.; and Keller, E. Neurocritical Care, 32(2): 419-426. 2020.
Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection [pdf]Paper   Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection [link]Website   link   bibtex   abstract  
Forecasting intracranial hypertension using multi-scale waveform metrics. Hüser, M.; Kündig, A.; Karlen, W.; De Luca, V.; and Jaggi, M. Physiological Measurement, 41(1): 014001. 2020.
Forecasting intracranial hypertension using multi-scale waveform metrics [pdf]Paper   Forecasting intracranial hypertension using multi-scale waveform metrics [link]Website   link   bibtex   abstract  
Pulse transit time based respiratory rate estimation with singular spectrum analysis. Ding, X.; Yan, B., P.; Karlen, W.; Zhang, Y.; and Tsang, H., K. Medical & Biological Engineering & Computing, 58(2): 257-266. 2020.
Pulse transit time based respiratory rate estimation with singular spectrum analysis [pdf]Paper   Pulse transit time based respiratory rate estimation with singular spectrum analysis [link]Website   link   bibtex  
A factorial cluster-randomised controlled trial combining home-environmental and early child development interventions to improve child health and development: rationale, trial design and baseline findings. Hartinger, S., M.; Nuño, N.; Hattendorf, J.; Verastegui, H.; Karlen, W.; Ortiz, M.; and Mäusezahl, D. BMC medical research methodology, 20(1): 73. 2020.
A factorial cluster-randomised controlled trial combining home-environmental and early child development interventions to improve child health and development: rationale, trial design and baseline findings. [pdf]Paper   A factorial cluster-randomised controlled trial combining home-environmental and early child development interventions to improve child health and development: rationale, trial design and baseline findings. [link]Website   link   bibtex   abstract  
A Protocol for Comparing Dry and Wet EEG Electrodes During Sleep. Leach, S.; Chung, K.; Tüshaus, L.; Huber, R.; and Karlen, W. Frontiers in Neuroscience, 14: 586. 6 2020.
A Protocol for Comparing Dry and Wet EEG Electrodes During Sleep [pdf]Paper   A Protocol for Comparing Dry and Wet EEG Electrodes During Sleep [link]Website   link   bibtex  
Wearable bioimpedance for continuous and context-aware clinical monitoring. Dutt, A., G.; Verling, M.; and Karlen, W. In 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 3985-8, 2020. IEEE
Wearable bioimpedance for continuous and context-aware clinical monitoring [pdf]Paper   Wearable bioimpedance for continuous and context-aware clinical monitoring [link]Website   link   bibtex  
Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate. Zhang, J.; Scebba, G.; and Karlen, W. In 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 5939-42, 2020. IEEE
Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate [pdf]Paper   Covariance intersection to improve the robustness of the photoplethysmogram derived respiratory rate [link]Website   link   bibtex  
Remote health diagnosis and monitoring in the time of COVID-19. Behar, J., A.; Liu, C.; Kotzen, K.; Tsutsui, K.; Corino, V., D., A.; Singh, J.; Pimentel, M., A., F.; Warrick, P.; Zaunseder, S.; Andreotti, F.; Sebag, D.; Kopanitsa, G.; McSharry, P., E.; Karlen, W.; Karmakar, C.; and Clifford, G., D. Physiological Measurement, 41(10). 2020.
Remote health diagnosis and monitoring in the time of COVID-19 [pdf]Paper   Remote health diagnosis and monitoring in the time of COVID-19 [link]Website   link   bibtex  
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. Schwab, P.; Linhardt, L.; Bauer, S.; Buhmann, J., M.; and Karlen, W. Proceedings of the AAAI Conference on Artificial Intelligence, 34(04): 5612-5619. 4 2020.
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves [pdf]Paper   Learning Counterfactual Representations for Estimating Individual Dose-Response Curves [link]Website   link   bibtex   abstract  
  2019 (10)
A transformation of oxygen saturation (the saturation virtual shunt) to improve clinical prediction model calibration and interpretation. Zhou, G.; Karlen, W.; Brant, R.; Wiens, M.; Kissoon, N.; and Ansermino, J., M. Pediatric Research,3-10. 8 2019.
A transformation of oxygen saturation (the saturation virtual shunt) to improve clinical prediction model calibration and interpretation [pdf]Paper   A transformation of oxygen saturation (the saturation virtual shunt) to improve clinical prediction model calibration and interpretation [link]Website   link   bibtex  
PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data. Schwab, P.; and Karlen, W. Proceedings of the AAAI Conference on Artificial Intelligence, 33: 1118-25. 7 2019.
PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data [pdf]Paper   PhoneMD: Learning to Diagnose Parkinson’s Disease from Smartphone Data [link]Website   link   bibtex   abstract  
Quantifying cyanide in water and foodstuff using corrin-based CyanoKit technologies and a smartphone. Cherbuin, M.; Zelder, F.; and Karlen, W. The Analyst, 144(1): 130-136. 2019.
Quantifying cyanide in water and foodstuff using corrin-based CyanoKit technologies and a smartphone [pdf]Paper   Quantifying cyanide in water and foodstuff using corrin-based CyanoKit technologies and a smartphone [link]Website   link   bibtex   abstract  
Immuno-gold silver staining assays on capillary-driven microfluidics for the detection of malaria antigens. Pham, N., M.; Rusch, S.; Temiz, Y.; Beck, H.; Karlen, W.; and Delamarche, E. Biomedical microdevices, 21(1): 24. 2019.
Immuno-gold silver staining assays on capillary-driven microfluidics for the detection of malaria antigens. [pdf]Paper   Immuno-gold silver staining assays on capillary-driven microfluidics for the detection of malaria antigens. [link]Website   link   bibtex   abstract  
Configurable Mobile System for Autonomous High-Quality Sleep Monitoring and Closed-Loop Acoustic Stimulation. Ferster, M., L.; Lustenberger, C.; and Karlen, W. IEEE Sensors Letters, 3(5): 1-4. 5 2019.
Configurable Mobile System for Autonomous High-Quality Sleep Monitoring and Closed-Loop Acoustic Stimulation [pdf]Paper   Configurable Mobile System for Autonomous High-Quality Sleep Monitoring and Closed-Loop Acoustic Stimulation [link]Website   link   bibtex  
Physiologically driven, altitude-adaptive model for the interpretation of pediatric oxygen saturation at altitudes above 2,000 m a.s.l. Tüshaus, L.; Moreo, M.; Zhang, J.; Hartinger, S., M.; Mäusezahl, D.; and Karlen, W. Journal of Applied Physiology, 127(3): 847-57. 2019.
Physiologically driven, altitude-adaptive model for the interpretation of pediatric oxygen saturation at altitudes above 2,000 m a.s.l. [pdf]Paper   Physiologically driven, altitude-adaptive model for the interpretation of pediatric oxygen saturation at altitudes above 2,000 m a.s.l. [link]Website   link   bibtex   abstract  
CXPlain: Causal Explanations for Model Interpretation under Uncertainty. Schwab, P.; and Karlen, W. In Wallach, H.; Larochelle, H.; Beygelzimer, A.; D'Alché-Buc, F.; Fox, E.; and Garnett, R., editor(s), Advances in Neural Information Processing Systems 32 (NeurIPS 2019), volume 32, of Advances in Neural Information Processing Systems, pages 9211, 2019.
CXPlain: Causal Explanations for Model Interpretation under Uncertainty [pdf]Paper   CXPlain: Causal Explanations for Model Interpretation under Uncertainty [link]Website   link   bibtex   abstract  
How stress affects sleep and mental health: Nocturnal heartrate increases during prolonged stress and interacts with childhood trauma exposure to predict anxiety. Azza, Y.; Grueschow, M.; Karlen, W.; Seifritz, E.; and Kleim, B. Sleep. 2019.
How stress affects sleep and mental health: Nocturnal heartrate increases during prolonged stress and interacts with childhood trauma exposure to predict anxiety. [pdf]Paper   How stress affects sleep and mental health: Nocturnal heartrate increases during prolonged stress and interacts with childhood trauma exposure to predict anxiety. [link]Website   link   bibtex   abstract  
Are respiratory rate counters really so bad? Throwing the baby out with the bath water. Ansermino, J., M.; Dunsmuir, D.; Karlen, W.; Gan, H.; and Dumont, G., A. EClinicalMedicine, 16: 14. 11 2019.
Are respiratory rate counters really so bad? Throwing the baby out with the bath water [pdf]Paper   Are respiratory rate counters really so bad? Throwing the baby out with the bath water [link]Website   link   bibtex  
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks. Schwab, P.; Miladinovic, D.; and Karlen, W. Proceedings of the AAAI Conference on Artificial Intelligence, 33: 4846-53. 7 2019.
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks [pdf]Paper   Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks [link]Website   link   bibtex   abstract  
  2018 (9)
A bead-based immunogold-silver staining assay on capillary-driven microfluidics. Pham, N., M.; Rusch, S.; Temiz, Y.; Lovchik, R., D.; Beck, H.; Karlen, W.; and Delamarche, E. Biomedical microdevices, 20: 41. 5 2018.
A bead-based immunogold-silver staining assay on capillary-driven microfluidics. [pdf]Paper   A bead-based immunogold-silver staining assay on capillary-driven microfluidics. [link]Website   link   bibtex   abstract  
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. Schwab, P.; Keller, E.; Muroi, C.; Mack, D., J.; Strässle, C.; and Karlen, W. In Proceedings of the 35th International Conference on Machine Learning, ICML 2018, volume 80, of Proceedings of Machine Learning Research, pages 4525--34, 2 2018.
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care [pdf]Paper   Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care [link]Website   link   bibtex   abstract  
Investigating Pre-sleep Processes And How They Influence Sleep And Nightmares. Maeder, T.; Whitford, J.; Feinaigle, P.; Karlen, W.; and Kleim, B. Sleep, 41(suppl_1): A372-A373. 4 2018.
Investigating Pre-sleep Processes And How They Influence Sleep And Nightmares [pdf]Paper   Investigating Pre-sleep Processes And How They Influence Sleep And Nightmares [link]Website   link   bibtex  
Malaria and the ‘last’ parasite: how can technology help?. Pham, N., M.; Karlen, W.; Beck, H.; and Delamarche, E. Malaria Journal, 17(1): 260. 2018.
Malaria and the ‘last’ parasite: how can technology help? [pdf]Paper   Malaria and the ‘last’ parasite: how can technology help? [link]Website   link   bibtex   abstract  
Multispectral camera fusion increases robustness of ROI detection for biosignal estimation with nearables in real-world scenarios. Scebba, G., C.; Tüshaus, L.; and Karlen, W. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 5672-5, 7 2018. IEEE
Multispectral camera fusion increases robustness of ROI detection for biosignal estimation with nearables in real-world scenarios [pdf]Paper   Multispectral camera fusion increases robustness of ROI detection for biosignal estimation with nearables in real-world scenarios [link]Website   link   bibtex   abstract  
Changes of hemodynamic and cerebral oxygenation after exercise in normobaric and hypobaric hypoxia: associations with acute mountain sickness. Kammerer, T.; Faihs, V.; Hulde, N.; Bayer, A.; Hübner, M.; Brettner, F.; Karlen, W.; Kröpfl, J., M.; Rehm, M.; Spengler, C.; and Schäfer, S., T. Annals of occupational and environmental medicine, 30(1): 66. 2018.
Changes of hemodynamic and cerebral oxygenation after exercise in normobaric and hypobaric hypoxia: associations with acute mountain sickness. [pdf]Paper   Changes of hemodynamic and cerebral oxygenation after exercise in normobaric and hypobaric hypoxia: associations with acute mountain sickness. [link]Website   link   bibtex   abstract  
Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis. Zhang, J.; Tüshaus, L.; Nuño Martínez, N.; Moreo, M.; Verastegui, H.; Hartinger, S., M.; Mäusezahl, D.; and Karlen, W. JMIR mHealth and uHealth, 6(12): e11896. 12 2018.
Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis [pdf]Paper   Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis [link]Website   link   bibtex  
Automation in medicine: from homecare to clinical applications. Karlen, W.; Schauer, T.; Möller, K.; and Simanski, O. Volume 66 . at - Automatisierungstechnik, pages 990. 2018.
at - Automatisierungstechnik [link]Website   link   bibtex  
Perfect match: A simple method for learning representations for counterfactual inference with neural networks. Schwab, P.; Linhardt, L.; and Karlen, W. 2018.
link   bibtex   abstract  
  2017 (4)
Improving ROI detection in photoplethysmographic imaging with thermal cameras. Scebba, G.; Dragas, J.; Hu, S.; and Karlen, W. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 4285-88, 2017.
Improving ROI detection in photoplethysmographic imaging with thermal cameras [pdf]Paper   link   bibtex   abstract  
Influence of acute normobaric and hypobaric hypoxia on hemodynamics, cognitive function, cerebral near-infrared spectroscopy and gene expression. Faihs, V.; Kammerer, T.; Hulde, N.; Brettner, F.; Rehm, M.; Karlen, W.; Kröpfl, J., M.; Spengler, C.; Kreth, S.; and Schäfer, S. In 2nd Human Physiology Workshop, pages 2017, 2017.
Influence of acute normobaric and hypobaric hypoxia on hemodynamics, cognitive function, cerebral near-infrared spectroscopy and gene expression [pdf]Paper   link   bibtex  
Corrigendum: Variability in estimating shunt from single pulse oximetry measurements (2015 Physiol. Meas. 36 967). Karlen, W.; Petersen, C.; Dumont, G., A.; and Ansermino, J., M. Physiological Measurement, 38(8): 1746-1747. 2017.
Corrigendum: Variability in estimating shunt from single pulse oximetry measurements (2015 Physiol. Meas. 36 967) [pdf]Paper   link   bibtex  
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. Schwab, P.; Scebba, G., C.; Zhang, J.; Delai, M.; and Karlen, W. Computing in Cardiology (CinC), 44: 1-4. 9 2017.
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks [pdf]Paper   Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks [pdf]Website   link   bibtex   abstract  
  2016 (6)
Building quality mHealth for low resource settings. Ettinger, K., M.; Pharaoh, H.; Buckman, R., Y.; Conradie, H.; and Karlen, W. Journal of Medical Engineering & Technology, 40(7-8): 431-43. 2016.
Building quality mHealth for low resource settings [pdf]Paper   Building quality mHealth for low resource settings [link]Website   link   bibtex  
Evaluation of cardiac modulation in children in response to apnea/hypopnea using the Phone Oximeter™. Dehkordi, P.; Garde, A.; Karlen, W.; Petersen, C., L.; Wensley, D.; Dumont, G., A.; and Ansermino, J., M. Physiological Measurement, 37(2): 187-202. 2016.
Evaluation of cardiac modulation in children in response to apnea/hypopnea using the Phone Oximeter™ [pdf]Paper   Evaluation of cardiac modulation in children in response to apnea/hypopnea using the Phone Oximeter™ [link]Website   link   bibtex  
Analysis of the Predictive Potential of Pulse Oximeter Data for Admission. Dunsmuir, D.; Garde, A.; Zhou, G.; Raihana, S.; Huda, T.; Karlen, W.; Dehkordi, P.; Arifeen, S., E.; and Ansermino, M., J. In Proceedings of the 2016 Society for Technology in Anesthesia Annual Meeting, volume 122, pages 75-76, 2016. Anesthesia and analgesia
Analysis of the Predictive Potential of Pulse Oximeter Data for Admission [pdf]Paper   link   bibtex  
A pulse transit time based fusion method for the noninvasive and continuous monitoring of respiratory rate. Ding, X.; Zhang, Y.; Tsang, H., K.; and Karlen, W. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 4240-3, 2016. IEEE
A pulse transit time based fusion method for the noninvasive and continuous monitoring of respiratory rate [pdf]Paper   A pulse transit time based fusion method for the noninvasive and continuous monitoring of respiratory rate [link]Website   link   bibtex  
Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study. Garde, A.; Zhou, G.; Raihana, S.; Dunsmuir, D.; Karlen, W.; Dehkordi, P.; Huda, T.; Arifeen, S., E.; Larson, C., P.; Kissoon, N.; Dumont, G., A.; and Ansermino, J., M. BMJ Open, 6(8): e011094. 2016.
Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study [pdf]Paper   Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study [link]Website   link   bibtex  
Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study. Garde, A.; Zhou, G.; Raihana, S.; Dunsmuir, D.; Karlen, W.; Dekhordi, P.; Huda, T.; Arifeen, S., E.; Larson, C.; Kissoon, N.; Dumont, G., A.; and Ansermino, J., M. BMJ Open, 6(8): e011094. 2016.
Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study [pdf]Paper   Respiratory rate and pulse oximetry derived information as predictors of hospital admission in young children in Bangladesh: a prospective observational study [link]Website   link   bibtex  
  2015 (10)
Variability in estimating shunt from single pulse oximetry measurements. Karlen, W.; Petersen, C.; Dumont, G., A.; and Ansermino, J., M. Physiological Measurement, 36(5): 967-981. 2015.
Variability in estimating shunt from single pulse oximetry measurements [pdf]Paper   Variability in estimating shunt from single pulse oximetry measurements [link]Website   link   bibtex  
A cohort study of morbidity, mortality and health seeking behavior following rural health center visits by children under 12 in Southwestern Uganda. Wiens, M., O.; Gan, H.; Barigye, C.; Zhou, G.; Kumbakumba, E.; Kabakyenga, J.; Kissoon, N.; Ansermino, J., M.; Karlen, W.; Larson, C., P.; and MacLeod, S., M. PLoS ONE, 10(1): e0118055. 2015.
A cohort study of morbidity, mortality and health seeking behavior following rural health center visits by children under 12 in Southwestern Uganda [pdf]Paper   link   bibtex  
Estimation of Respiratory Rate From Photoplethysmographic Imaging Videos Compared to Pulse Oximetry. Karlen, W.; Garde, A.; Myers, D.; Scheffer, C.; Ansermino, J., M.; and Dumont, G., A. IEEE Journal of Biomedical and Health Informatics, 19(4): 1331-8. 2015.
Estimation of Respiratory Rate From Photoplethysmographic Imaging Videos Compared to Pulse Oximetry [pdf]Paper   Estimation of Respiratory Rate From Photoplethysmographic Imaging Videos Compared to Pulse Oximetry [link]Website   link   bibtex  
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”. Karlen, W.; Dunsmuir, D.; and Ansermino, J., M. Volume 52 . International Journal of Nursing Studies, pages 1279-1280. Elsevier Ltd, 2015.
International Journal of Nursing Studies [pdf]Paper   International Journal of Nursing Studies [link]Website   link   bibtex  
Medical Devices and Information Communication Technologies for the Base of the Pyramid. Friedman, Z.; and Karlen, W. Technologies for Development. What is Essential?, pages 113-118. Hostettler, S.; Hazboun, E.; and Bolay, J., editor(s). Springer International Publishing, 2015.
Technologies for Development. What is Essential? [pdf]Paper   Technologies for Development. What is Essential? [link]Website   link   bibtex  
Data Quality in mHealth. Karlen, W. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015.
Data Quality in mHealth [pdf]Paper   link   bibtex   abstract  
Development and Internal Validation of a Predictive Model Including Pulse Oximetry for Hospitalization of Under-Five Children in Bangladesh. Raihana, S.; Dunsmuir, D.; Huda, T.; Zhou, G.; Rahman, Q., S.; Garde, A.; Moinuddin, M.; Karlen, W.; Dumont, G., A.; Kissoon, N.; El Arifeen, S.; Larson, C., P.; and Ansermino, J., M. PLoS ONE, 10(11): e0143213. 2015.
Development and Internal Validation of a Predictive Model Including Pulse Oximetry for Hospitalization of Under-Five Children in Bangladesh [pdf]Paper   Development and Internal Validation of a Predictive Model Including Pulse Oximetry for Hospitalization of Under-Five Children in Bangladesh [link]Website   link   bibtex  
The Performance of a Mobile Phone Respiratory Rate Counter Compared to the WHO ARI Timer. Gan, H.; Karlen, W.; Dunsmuir, D.; Zhou, G.; Chiu, M.; Dumont, G., A.; and Ansermino, J., M. Journal of Healthcare Engineering, 6(4): 691-704. 2015.
The Performance of a Mobile Phone Respiratory Rate Counter Compared to the WHO ARI Timer [pdf]Paper   The Performance of a Mobile Phone Respiratory Rate Counter Compared to the WHO ARI Timer [link]Website   link   bibtex  
A cohort study of morbidity, mortality and health seeking behavior following rural health center visits by children under 12 in Southwestern Uganda. Wiens, M., O.; Gan, H.; Barigye, C.; Zhou, G.; Kumbakumba, E.; Kabakyenga, J.; Kissoon, N.; Ansermino, J., M.; Karlen, W.; Larson, C., P.; and MacLeod, S., M. PLoS ONE, 10(1): e0118055. 2015.
A cohort study of morbidity, mortality and health seeking behavior following rural health center visits by children under 12 in Southwestern Uganda [pdf]Paper   link   bibtex  
Variability in estimating shunt from single pulse oximetry measurements. Karlen, W.; Petersen, C., L.; Dumont, G., A.; and Ansermino, J., M. Physiological measurement, 36(5): 967-81. 2015.
Variability in estimating shunt from single pulse oximetry measurements [link]Website   link   bibtex   abstract  
  2014 (16)
Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. Karlen, W.; Gan, H.; Chiu, M.; Dunsmuir, D.; Zhou, G.; Dumont, G., A.; and Ansermino, J., M. PLoS ONE, 9(6): e99266. 2014.
Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. [pdf]Paper   Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. [link]Website   link   bibtex   abstract  
Sharing Vital Signs between mobile phone applications. Karlen, W.; Dumont, G., A.; and Scheffer, C. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 3646-9, 2014.
Sharing Vital Signs between mobile phone applications. [pdf]Paper   Sharing Vital Signs between mobile phone applications. [link]Website   link   bibtex   abstract  
Mobile Point-of-Care Monitors and Diagnostic Device Design. Karlen, W., editor. of Devices, Circuits, and SystemsCRC Press, 2014.
Mobile Point-of-Care Monitors and Diagnostic Device Design [link]Website   link   bibtex  
Sleep Stage Classification in Children Using Photoplethysmogram Pulse Rate Variability. Dehkordi, P.; Garde, A.; Karlen, W.; Wensley, D.; Ansermino, J., M.; and Dumont, G., A. In Computing in Cardiology (CinC), pages 297-300, 2014.
Sleep Stage Classification in Children Using Photoplethysmogram Pulse Rate Variability [pdf]Paper   link   bibtex  
Design of an interactive medical guideline application for community health workers. Karlen, W.; and Scheffer, C. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 1366-1369, 2014.
Design of an interactive medical guideline application for community health workers. [pdf]Paper   link   bibtex   abstract  
Respiratory Rate Assessment from Photoplethysmographic Imaging. Karlen, W.; Garde, A.; Myers, D.; Scheffer, C.; Ansermino, J., M.; and Dumont, G., A. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 5397-400, 2014. IEEE Engineering in Medicine and Biology Society
Respiratory Rate Assessment from Photoplethysmographic Imaging [pdf]Paper   link   bibtex  
Oxygen saturation resolution influences regularity measurements. Garde, A.; Karlen, W.; Dehkordi, P.; Ansermino, J., M.; and Dumont, G., A. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 2257-60, 2014. IEEE Engineering in Medicine and Biology Society
Oxygen saturation resolution influences regularity measurements. [pdf]Paper   Oxygen saturation resolution influences regularity measurements. [link]Website   link   bibtex   abstract  
Development of a screening tool for sleep disordered breathing in children using the phone oximeter™. Garde, A.; Dehkordi, P.; Karlen, W.; Wensley, D.; Ansermino, J., M.; and Dumont, G., A. PLoS ONE, 9(11): e112959. 2014.
Development of a screening tool for sleep disordered breathing in children using the phone oximeter™. [pdf]Paper   Development of a screening tool for sleep disordered breathing in children using the phone oximeter™. [link]Website   link   bibtex   abstract  
Detrended fluctuation analysis of photoplethysmogram pulse rate intervals in sleep disordered breathing. Dehkordi, P.; Garde, A.; Karlen, W.; Petersen, C., L.; Ansermino, J., M.; and Dumont, G., A. In 2014 IEEE Healthcare Innovation Conference (HIC), pages 323-326, 2014. IEEE Engineering in Medicine and Biology Society
Detrended fluctuation analysis of photoplethysmogram pulse rate intervals in sleep disordered breathing [pdf]Paper   Detrended fluctuation analysis of photoplethysmogram pulse rate intervals in sleep disordered breathing [link]Website   link   bibtex  
Assessing the Quality of Manual Respiratory Rate Measurements using Mobile Devices. Karlen, W.; Wiens, M., O.; Gan, H.; Dunsmuir, D.; Chiu, M.; Dumont, G., A.; and Ansermino, J., M. In Appropriate Healthcare Technologies for Low Resource Settings (AHT 2014), pages 1-4, 2014. IET
Assessing the Quality of Manual Respiratory Rate Measurements using Mobile Devices [pdf]Paper   link   bibtex   abstract  
Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram. Garde, A.; Karlen, W.; Ansermino, J., M.; and Dumont, G., A. PLoS ONE, 9(1): e86427. 2014.
Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram. [pdf]Paper   Estimating respiratory and heart rates from the correntropy spectral density of the photoplethysmogram. [link]Website   link   bibtex   abstract  
Where do pulse oximeter probes break?. Crede, S.; Van der Merwe, G.; Hutchinson, J.; Woods, D.; Karlen, W.; and Lawn, J. Journal of clinical monitoring and computing, 28(3): 309-14. 2014.
Where do pulse oximeter probes break? [pdf]Paper   Where do pulse oximeter probes break? [link]Website   link   bibtex   abstract  
Design of an interactive medical guideline application for community health workers. Karlen, W.; and Scheffer, C. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society., pages 1366-1369, 2014.
Design of an interactive medical guideline application for community health workers. [pdf]Paper   link   bibtex   abstract  
Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. Karlen, W.; Gan, H.; Chiu, M.; Dunsmuir, D.; Zhou, G.; Dumont, G., A.; and Ansermino, J., M. PLoS ONE, 9(6): e99266. 1 2014.
Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. [pdf]Paper   Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. [link]Website   link   bibtex   abstract  
Respiratory Rate Assessment from Photoplethysmographic Imaging. Karlen, W.; Garde, A.; Myers, D.; Scheffer, C.; Ansermino, J., M.; and Dumont, G., A. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 5397-400, 2014. IEEE Engineering in Medicine and Biology Society
link   bibtex  
Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. Karlen, W.; Gan, H.; Chiu, M.; Dunsmuir, D.; Zhou, G.; Dumont, G., A.; and Ansermino, J., M. PLoS ONE, 9(6): e99266. 1 2014.
Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. [pdf]Paper   Improving the accuracy and efficiency of respiratory rate measurements in children using mobile devices. [link]Website   link   bibtex   abstract  
  2013 (10)
Photoplethysmogram Processing Using An Adaptive Single Frequency Phase Vocoder Algorithm. Karlen, W.; Petersen, C.; Gow, J.; Ansermino, J., M.; and Dumont, G., A. BIOSTEC 2011, CCIS 273, pages 31-42. Fred, A.; Filipe, J.; and Gamboa, H., editor(s). Springer-Verlag, 2013.
BIOSTEC 2011, CCIS 273 [pdf]Paper   BIOSTEC 2011, CCIS 273 [link]Website   link   bibtex  
Monitoring nociception during general anesthesia with cardiorespiratory coherence. Brouse, C., J.; Karlen, W.; Dumont, G., A.; Myers, D.; Cooke, E.; Stinson, J.; Lim, J.; and Ansermino, J., M. Journal of clinical monitoring and computing, 27(5): 551-60. 2013.
Monitoring nociception during general anesthesia with cardiorespiratory coherence. [pdf]Paper   Monitoring nociception during general anesthesia with cardiorespiratory coherence. [link]Website   link   bibtex   abstract