I am 23 years old and currently studying Electrical Engineering in Darmstadt. Originally I am from the region near Mainz, Rheinhessen. In my free time, I like to go bouldering and work on small programming projects.
My name is Jonas Emrich, I am 23 years old and currently studying Electrical Engineering and Information Technology at the Technical University of Darmstadt with a focus on Signal Processing and Machine Learning. I am pursuing a research-oriented career in an innovative environment where I can grow and make a meaningful impact. In my free time, I love to go bouldering and work on small programming projects.
Interests
Data Science • Statistics • Machine Learning • Entrepreneurship • Research
Accelerated Sample-Accurate R-Peak Detectors Based on Visibility Graphs
Jonas Emrich, Taulant Koka, Sebastian Wirth, and Michael Muma
This work introduces two novel sample-accurate R-peak detectors based on visibility graph (VG) transformations for detecting the heartbeat positions in the electrocardiogram (ECG). These detectors significantly reduce computation time and memory requirements by processing only relevant samples. Numerical experiments show their superior performance compared to existing R-peak detectors across multiple ECG databases, which is essential for accurate cardiac condition diagnosis.
Presented at the 31st European Signal Processing Conference (EUSIPCO)
Robust Visibility Graph Methods for Biomedical Signal Processing
For medical diagnostics, reliable detection of R-peaks in noisy or corrupted ECG signals is of great importance. In my thesis, I investigated a visibility graph-based approach for R-peak detection and significantly improved its accuracy and runtime.
Supervision: Prof. M. Muma and Prof. A. Zoubir, Signal Processing Group (SPG), TU Darmstadt
Development of a thermobox based on the Peltier technology with the aim of achieving a temperature difference of +/- 10 °C. The project was carried out in groups of 6 people. The 1st place was achieved in a competition among the groups.
A Firefox add-on that changes the design of the campus management system tucan.tu-darmstadt.de into a dark one and visualizes further statistics like e.g. the failure rate and the grade distribution of the exam results.
Notenkurve was originally developed as a web application in which students can enter their school grades and then get a visualization of their performance using a curve and further statistics. However, the original web application is not being further developed and was taken offline due to concerns regarding the GDPR (DSGVO).
Currently, several converters for students, such as the Punkte-in-Noten-Umrechner, are among the website’s most popular services, used by around 1 million people a year.
The map of party donations is a visualization of Lobbycontrol’s party donations database. More than 10,000 party donations between the years 2000 and 2016 were included.
The strength of the links corresponds to the total amount of money donated to the respective party.
