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pro vyhledávání: '"Karlen, Walter"'
Autor:
Zhang, Jia, Tüshaus, Laura, Nuño Martínez, Néstor, Moreo, Monica, Verastegui, Hector, Hartinger, Stella M, Mäusezahl, Daniel, Karlen, Walter
Publikováno v:
JMIR mHealth and uHealth, Vol 6, Iss 12, p e11896 (2018)
BackgroundMobile health (mHealth) technologies have the potential to bring health care closer to people with otherwise limited access to adequate health care. However, physiological monitoring using mobile medical sensors is not yet widely used as ad
Externí odkaz:
https://doaj.org/article/c779419b9e9844bbb9e0a272482898d3
Autor:
Ferster, Maria Laura, Da Poian, Giulia, Menachery, Kiran, Schreiner, Simon J., Lustenberger, Caroline, Maric, Angelina, Huber, Reto, Baumann, Christian, Karlen, Walter
Auditory stimulation of EEG slow waves (SW) during non-rapid eye movement (NREM) sleep has shown to improve cognitive function when it is delivered at the up-phase of SW. SW enhancement is particularly desirable in subjects with low-amplitude SW such
Externí odkaz:
http://arxiv.org/abs/2203.02354
Autor:
Scebba, Gaetano, Zhang, Jia, Catanzaro, Sabrina, Mihai, Carina, Distler, Oliver, Berli, Martin, Karlen, Walter
Chronic wounds significantly impact quality of life. If not properly managed, they can severely deteriorate. Image-based wound analysis could aid in objectively assessing the wound status by quantifying important features that are related to healing.
Externí odkaz:
http://arxiv.org/abs/2111.01590
Autor:
Behar, Joachim A., Liu, Chengyu, Kotzen, Kevin, Tsutsui, Kenta, Corino, Valentina D. A., Singh, Janmajay, Pimentel, Marco A. F., Warrick, Philip, Zaunseder, Sebastian, Andreotti, Fernando, Sebag, David, Popanitsa, Georgy, McSharry, Patrick E., Karlen, Walter, Karmakar, Chandan, Clifford, Gari D.
Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that is rapidly spreading across the globe. The clinical spectrum of SARS-CoV-2 pneumonia ranges from mild to critically ill cases and requir
Externí odkaz:
http://arxiv.org/abs/2005.08537
Covariance Intersection to Improve the Robustness of the Photoplethysmogram Derived Respiratory Rate
Respiratory rate (RR) can be estimated from the photoplethysmogram (PPG) recorded by optical sensors in wearable devices. The fusion of estimates from different PPG features has lead to an increase in accuracy, but also reduced the numbers of availab
Externí odkaz:
http://arxiv.org/abs/2004.09934
Continuous monitoring of respiratory activity is desirable in many clinical applications to detect respiratory events. Non-contact monitoring of respiration can be achieved with near- and far-infrared spectrum cameras. However, current technologies a
Externí odkaz:
http://arxiv.org/abs/2004.09834
Autor:
Schwab, Patrick, Karlen, Walter
Multiple sclerosis (MS) affects the central nervous system with a wide range of symptoms. MS can, for example, cause pain, changes in mood and fatigue, and may impair a person's movement, speech and visual functions. Diagnosis of MS typically involve
Externí odkaz:
http://arxiv.org/abs/2001.09748
Akademický článek
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Autor:
Schwab, Patrick, Karlen, Walter
Feature importance estimates that inform users about the degree to which given inputs influence the output of a predictive model are crucial for understanding, validating, and interpreting machine-learning models. However, providing fast and accurate
Externí odkaz:
http://arxiv.org/abs/1910.12336
Objective: Acute intracranial hypertension is an important risk factor of secondary brain damage after traumatic brain injury. Hypertensive episodes are often diagnosed reactively, leading to late detection and lost time for intervention planning. A
Externí odkaz:
http://arxiv.org/abs/1902.09499