Search Results - "Graßhoff, Jan"

Surface EMG-based quantification of inspiratory effort: a quantitative comparison with P es by Graßhoff, Jan, Petersen, Eike, Farquharson, Franziska, Kustermann, Max, Kabitz, Hans-Joachim, Rostalski, Philipp, Walterspacher, Stephan

“…Inspiratory patient effort under assisted mechanical ventilation is an important quantity for assessing patient-ventilator interaction and recognizing over and…”
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Uncertainty Analysis of Deep Kernel Learning Methods on Diabetic Retinopathy Grading by Siebert, Marlin, Grasshoff, Jan, Rostalski, Philipp

“…Diabetic retinopathy (DR) is a leading cause of vision loss. Therefore, screening for early signs and assessment of the DR severity is crucial and extensively…”
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Surface EMG-based quantification of inspiratory effort: a quantitative comparison with Pes by Grasshoff, Jan, Petersen, Eike, Farquharson, Franziska, Kustermann, Max, Kabitz, Hans-Joachim, Rostalski, Philipp, Walterspacher, Stephan

“…Background Inspiratory patient effort under assisted mechanical ventilation is an important quantity for assessing patient-ventilator interaction and…”
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Automated characterization of patient–ventilator interaction using surface electromyography by Sauer, Julia, Graßhoff, Jan, Carbon, Niklas M., Koch, Willi M., Weber-Carstens, Steffen, Rostalski, Philipp

“…Background Characterizing patient–ventilator interaction in critically ill patients is time-consuming and requires trained staff to evaluate the behavior of…”
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Exploitation of Kronecker Structure in Gaussian Process Regression for Efficient Biomedical Signal Processing by Prüßmann, Jannik, Graßhoff, Jan, Rostalski, Philipp

“…Gaussian processes are a versatile tool for data processing. Unfortunately, due to storage and runtime requirements, standard Gaussian process (GP) methods are…”
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A Robust Multi-Channel EMG System for Lower Back and Abdominal Muscles Training by Kusche, Roman, Graßhoff, Jan, Oltmann, Andra, Boudnik, Lukas, Rostalski, Philipp

“…EMG is an established method to acquire the action potentials of contracted muscles. Although commercial EMG systems are available and it is one of the most…”
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Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram by Bockelmann, Niclas, Graßhoff, Jan, Hansen, Lasse, Bellani, Giacomo, Heinrich, Mattias P., Rostalski, Philipp

“…The electrical activity of the diaphragm (EAdi) is a novel monitoring parameter for patients under assisted ventilation and is used for assessing the patient’s…”
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A Multi-Channel EMG System for Spatial Measurement of Diaphragm Activities by Kusche, Roman, Grasshoff, Jan, Oltmann, Andra, Rostalski, Philipp

“…An important aspect of mechanical ventilation is the recognition and quantification of spontaneous respiratory effort. However, measurement of flows and…”
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Closed‐loop acoustic stimulation during an afternoon nap to modulate subsequent encoding by Koo‐Poeggel, Ping, Neuwerk, Soé, Petersen, Eike, Grasshoff, Jan, Mölle, Matthias, Martinetz, Thomas, Marshall, Lisa

“…Summary Sleep is able to contribute not only to memory consolidation, but also to post‐sleep learning. The notion exists that either synaptic downscaling or…”
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Multi-Task Gaussian Process Regression for the Detection of Sleep Cycles in Premature Infants by Brugge, Nele Sophie, Grasshoff, Jan, Weigenand, Arne, Rostalski, Philipp

“…Preterm birth is the leading cause of infant mortality. Consequently, preterm infants require special attention and medical care, with sleep being a central…”
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Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms by Petersen, Eike, Sauer, Julia, GraBhoff, Jan, Rostalski, Philipp

“…Electromyographic (EMG) measurements of the respiratory muscles provide a convenient and noninvasive way to assess respiratory muscle function and detect…”
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Probabilistic Ultra-Wideband TDoA Localization with Bias Correction by Vollmer, Felix, Grasshoff, Jan, Rostalski, Philipp

“…Ultra-wideband (UWB) radio localization is a popular solution for indoor navigation. The time delay of radio signals between agents and anchors enables the…”
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Automatic Estimation of Respiratory Effort using Esophageal Pressure by Grashoff, Jan, Petersen, Eike, Becher, Tobias, Rostalski, Philipp

“…Esophageal pressure is currently seen as the gold standard to quantify the respiratory effort during assisted spontaneous ventilation. Yet, the assessment of…”
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A template subtraction method for the removal of cardiogenic oscillations on esophageal pressure signals by Grasshoff, Jan, Petersen, Eike, Eger, Marcus, Bellani, Giacomo, Rostalski, Philipp

“…Esophageal pressure (P es ) is usually measured in patients receiving mechanical ventilation and is used for the assessment of lung mechanics. However, its…”
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Comfortable Body Surface Potential Mapping by Means of a Dry Electrode Belt by Kusche, Roman, Oltmann, Andra, Grasshoff, Jan, Rostalski, Philipp

“…Body Surface Potential Mapping is the spatial high-resolution acquisition of cardiac electrical activity from the thorax surface. The method is used to record…”
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Muscle Artifact Removal in Single-Channel Electrocardiograms using Temporal Convolutional Networks by Boudnik, Lukas, GraBhoff, Jan, Vollmer, Felix, Rostalski, Philipp

“…The electrocardiogram (ECG) is a vital diagnostic tool used in many health applications. In practice, interference by muscle artifacts is very common and may…”
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A Robust Multi-Channel EMG System for Lower Back and Abdominal Muscles Training by Kusche, Roman, Grasshoff, Jan, Oltmann, Andra, Boudnik, Lukas, Rostalski, Philipp

“…EMG is an established method to acquire the action potentials of contracted muscles. Although commercial EMG systems are available and it is one of the most…”
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Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase by Graßhoff, Jan, Jankowski, Alexandra, Rostalski, Philipp

“…The application of Gaussian processes (GPs) to large data sets is limited due to heavy memory and computational requirements. A variety of methods has been…”
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Iterative Gaussian Process Model Predictive Control with Application to Physiological Control Systems by Mannel, Georg, Grashoff, Jan, Rostalski, Philipp, Abbas, Hossam S.

“…Model predictive control (MPC) is becoming one of the leading modern control approaches applied to physiological control systems. However, intra- and…”
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A Hybrid Factor Graph Model for Biomedical Activity Detection by Stender, Mareike, Grashoff, Jan, Braun, Tanya, Moller, Ralf, Rostalski, Philipp

“…For activity detection on biomedical time-series data, biomedical signals are modeled as a switching linear dynamical system with random variables, including…”
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