About
21
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Introduction
Christopher Schölzel currently works as an AI Engineer at LanguageTool. Before that, Christopher did his PhD in Systems Biology at the Technische Hochschule Mittelhessen (THM University of Applied Sciences). His main research interests currently are open-source large language models and prompt engineering.
Additional affiliations
September 2013 - present
March 2012 - February 2013
Education
April 2010 - July 2013
April 2006 - April 2010
Publications
Publications (21)
Biological systems are complex and full of interconnected feedback loops, which require going beyond reductionist endeavors to map the genome, transcriptome, and proteome and consider the whole system instead. This is the goal of systems biology, and it often involves the integration of multiple descriptions of biological systems at different scale...
Heart rate turbulence (HRT) is a characteristic heart rate pattern triggered by a ventricular premature contraction (VPC). It can be used to assess autonomic function and health risk for various conditions, e.g., coronary artery disease or cardiomyopathy. While comparability is essential for scientific analysis, especially for research focusing on...
Reuse of mathematical models becomes increasingly important in systems biology as research moves toward large, multi-scale models composed of heterogeneous subcomponents. Currently, many models are not easily reusable due to inflexible or confusing code, inappropriate languages, or insufficient documentation. Best practice suggestions rarely cover...
One should assume that in silico experiments in systems biology are less susceptible to reproducibility issues than their wet-lab counterparts, because they are free from natural biological variations and their environment can be fully controlled. However, recent studies show that only half of the published mathematical models of biological systems...
One should assume that in silico experiments in systems biology are less susceptible to reproducibility issues than their wet-lab counterparts, because they are free from natural biological variations and their environment can be fully controlled. However, recent studies show that only half of the published mathematical models of biological systems...
Reproducible, understandable models that can be reused and combined to true multi-scale systems are required to solve the present and future challenges of systems biology. However, many mathematical models are still built for a single purpose and reusing them in a different context can be challenging due to an inflexible monolithic structure, confu...
NeuroKit2 is an open-source, community-driven, and user-centered Python package for neurophysiological signal processing. It provides a comprehensive suite of processing routines for a variety of bodily signals (e.g., ECG, PPG, EDA, EMG, RSP). These processing routines include high-level functions that enable data processing in a few lines of code...
The Hodgkin-Huxley model of the squid giant axon has been used for decades as the basis of many action potential models. These models are usually communicated using just a list of equations or a circuit diagram, which makes them unnecessarily complicated both for novices and for experts. We present a modular version of the Hodgkin-Huxley model that...
NeuroKit2 is an open-source, community-driven, and user-friendly Python package dedicated to neurophysiological signal processing with an initial focus on bodily signals (e.g., ECG, PPG, EDA, EMG, RSP). Its design philosophy is centred on user-experience and accessibility to both novice and advanced users. The package provides a consistent set of h...
Heart rate turbulence (HRT) is a biphasic reaction to a ventricular premature contraction (VPC) mainly mediated by the baroreflex. It can be used for risk stratification in different disease patterns. Despite existing standards there is a lot of variation in terms of measuring and calculating HRT, which complicates research and application.
Object...
This project contains a Modelica implementation of the model of the human baroreflex developed by H. Seidel in his PhD thesis under the supervision of H. Herzel. It was published and presented at the 2015 International Modelica Conference.
Nolds is a small numpy-based library that provides an implementation and a learning resource for nonlinear measures for dynamical systems based on one-dimensional time series. Currently the following measures are implemented:
Both a Phonocardiogram (PCG) and an Electrocardiogram (ECG) are sequential measurements of heart activity used to distinguish normal from abnormal heart function. Although they measure different physical quantities, we show that training a long short-term memory network on the Physionet challenge using only the ECG data available for the MIT heart...
Systems biology is a field that requires complex multiscale models of systems that are evolved rather than engineered. No unifying theory exists for biology as it does
for engineering domains. Thus, models appear in very
diverse forms. Components can be genes, cells, organs
or even whole ecosystems. These components can intuitively be represented a...
A simulator of the baroreflex loop is implemented as a distributed system, including independent functional units with each of them running without synchronisation and in real-time. Individual components are build from extended equations of the well established Seidel-Herzel-model.
The system includes five small computers representing five indepen...
In this paper a method for early recognition of motion templates is presented. We define early recognition as an algorithm to provide recognition results before a motion sequence is completed. In our experiments we apply Long Short-Term Memory (LSTM) and optimize the training for the task of recognizing the motion template as early as possible. The...
This paper proposes a new approach for drawing mode detection in online handwriting. The system classifies groups of ink traces into several categories. The main contributions of this work are as follows. First, we improve and optimize several state-of-the-art recognizers by adding new features and applying feature selections. Second, we use severa...