3 papers
cs.NE2026
Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization
Helena Stegherr, Michael Heider, Nils Meyer +7
Evolutionary computation offers a variety of tools to solve complex real-world optimization problems. However, research often focuses on smaller, simplified problems and optimizati…
eess.SP2023
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG
Theresa Bender, Philip Gemke, Ennio Idrobo-Avila +3
Electrocardiography analysis is widely used in various clinical applications and Deep Learning models for classification tasks are currently in the focus of research. Due to their…
q-bio.TO2023
Measurement of Individual Alteration in Perioperative ECGs During Elective Percutaneous Coronary Intervention
Philip Gemke, Theresa Bender, Ennio Idrobo-Avila +4
The increasing availability of wearable electrocardiography (ECG) devices enables the continuous monitoring of individual ECG alterations. This could be beneficial for patients suf…