Seminar: Developing a bowel sound detector
Background
Auscultation is a standard medical practice performed by clinicians when inspecting a patient complaining about abdominal pain. Listening to the sounds produced by the gut during digestion allows us to non-invasively observe and monitor the gastro-intestinal functionality.
The goal of this work is to develop a detection algorithm for bowel sounds, suitable for long-term abdominal monitoring.
Aim
The project aims to develop a bowel sound detector to be embedded in the GastroDigitalShirt prototype developed at the Chair.
Learning objectives
- Learn concepts of body sounds
- Learn concepts of audio processing
- Learn concepts of spotting algorithms
Data
| Project type | Seminar |
| ECTS | 2.5, 5, 7.5, default: 5 |
| Language | English |
| Period | Summer term 2020 |
| Presence time | Virtual seminar, working from remote |
| Useful knowledge | Python programming, Signal processing, Pattern recognition |
| Work distribution | 40% model analysis, 60% programming |
| Med. Eng. designation | Advanced Context Recognition (ACR) |
| StudOn link | Please join |
| First Meeting | Online introduction/Vorbesprechung of summer term 2020 Seminars |
| Registration | Via StudOn, obligatory after introduction |
Literature
Up-to-date literature recommendations are provided during the lectures.
Examination
Final presentation and final report.
Contact
Annalisa Baronetto
- Job title: Researcher
- Address:
Henkestraße 91, Haus 7, 1. OG
91052 Erlangen
Germany - Phone number: +49 9131 85 23608
- Email: annalisa.baronetto@fau.de