Search Results - "Grashoff, Jan"

Mental disorders at the beginning of adolescence: Prevalence estimates in a sample aged 11-14 years by Scheiner, Christin, Grashoff, Jan, Kleindienst, Nikolaus, Buerger, Arne

“…This study aims to provide a deeper insight into mental disorders in early adolescence. We report prevalence rates (mental health problems, depressive…”
Get full text

Model-Based Estimation of Inspiratory Effort Using Surface EMG by Grashoff, Jan, Petersen, Eike, Walterspacher, Stephan, Rostalski, Philipp

“…Objective: The quantification of inspiratory patient effort in assisted mechanical ventilation is essential for the adjustment of ventilatory assistance and…”
Get full text

A Multichannel EMG System for Spatial Measurement of Diaphragm Activities by Kusche, Roman, Grashoff, Jan, Oltmann, Andra, Rostalski, Philipp

“…An important aspect of mechanical ventilation is the recognition and quantification of spontaneous respiratory effort. However, a measurement of flows and…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

Model Predictive Control using Efficient Gaussian Processes for Unknown Disturbance Inputs by Grashoff, Jan, Mannel, Georg, Abbas, Hossam S., Rostalski, Philipp

“…Gaussian Processes (GPs) are a versatile tool to model unknown disturbances affecting a physical system. Combining the model of a physical system with a…”
Get full text