392253 Projekt: Digitization and Classification of ECG Images (Pj) (SoSe 2024)

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Das Projekt kann sowohl auf Englisch, als auch Deutsch geführt werden. The Project is given in English/German.

In diesem Projekt wird an einer ML basierten Lösung gearbeitet, um EKG Daten zu digitalisieren. Dabei sollen die gedruckten Kurven von verschiedenen pdf Scans (z.B. Scans mit knittrigem Papier) ins digitale MIT WFDB Dateiformat gebracht werden. Gerne können die Studierenden mit ihrer Lösung an der diesjährigen "George B. Moody PhysioNet Challenge" teilnehmen, die im Rahmen der Computing in Cardiology Konferenz 2024 stattfindet. Weitere Informationen können hier gefunden werden: https://moody-challenge.physionet.org/2024/. Studierende können einzeln oder in einer Kleingruppe an dem Projekt arbeiten.

This project is working on an ML-based solution to digitize ECG data. The printed curves from various pdf scans (e.g. scans with crumpled paper) need to be converted into the digital MIT WFDB file format. The students are welcome to participate in this year's "George B. Moody PhysioNet Challenge", which will take place at the Computing in Cardiology Conference 2024. Further information can be found here: https://moody-challenge.physionet.org/2024/. You can work on the project individually or in a small group.

Requirements for participation, required level

Kenntnisse in Machine Learning sind notwendig. Kenntnisse in Python, sowie Pytorch sind wünschenswert, aber in Absprache können auch andere Sprachen/Libraries zugelassen werden.

Knowledge in Machine Learning is necessary. Experience with Python and Pytorch is preferable, but other programming languages / libraries may be permitted after consultation.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 14-15 nach Vereinbarung 08.04.-19.07.2024

Subject assignments

Module Course Requirements  
39-M-Inf-P Projekt Projekt Ungraded examination
Student information

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Erfolgreiche Bearbeitung der Aufgabenstellung, sowie ein schriftlicher Projektbericht und eine Präsentation.

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Registered number: 1
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Limitation of the number of participants:
Limited number of participants: 3
Address:
SS2024_392253@ekvv.uni-bielefeld.de
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1 Students to be reached directly via email
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Last update basic details/teaching staff:
Monday, February 19, 2024 
Last update times:
Wednesday, April 10, 2024 
Last update rooms:
Wednesday, April 10, 2024 
Type(s) / SWS (hours per week per semester)
Pj / 2
Department
Faculty of Technology
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453719806