Automated analysis of heart sound signals in screening for structural heart disease in children
• We developed an AI-based algorithm using a large dataset of sound samples validated by echocardiography. The algorithm performed well in recognizing pathological and innocent murmurs in children from different age groups.
Authors
- Kaisa Ylänen (ORCID: https://orcid.org/0000-0002-2189-1020)
- Tuija Poutanen (ORCID: https://orcid.org/0000-0002-0805-0569)
- Anita Arola
- Merja Kallio (ORCID: https://orcid.org/0000-0003-0799-344X)
- Ilkka Jaakkola
- Minna Mecklin (ORCID: https://orcid.org/0000-0003-3983-3694)
- Mikaela Porkholm (ORCID: https://orcid.org/0000-0002-7356-7257)
- Anneli Eerola (ORCID: https://orcid.org/0000-0002-6198-6681)
- Ossi Rahkonen (ORCID: https://orcid.org/0000-0002-7202-3274)
- Jussi Niemelä (ORCID: https://orcid.org/0000-0002-8315-8094)
- I. Papunen (ORCID: https://orcid.org/0000-0002-0938-5053)
- Oscar Lundqvist
Institutions
- University of Helsinki (FI)
- Tampere University (FI)
- Oulu University Hospital (FI)
- Helsinki University Hospital (FI)
- Tampere University Hospital (FI)
- Tampere University (FI)
- Turku City Hospital (FI)
- Kemira (Finland) (FI)
- University of Oulu (FI)
Publication Details
- Journal
- European Journal of Pediatrics
- Published
- 2024-09-21
- DOI
- https://doi.org/10.1007/s00431-024-05773-3
- Citations
- 9
- Primary Topic
- Phonocardiography and Auscultation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.77
Funders
- Suomen Lääketieteen Säätiö