Szczegóły publikacji
Opis bibliograficzny
Tissue puncture event detection in needle procedures using vibroacoustic signals - ResNet optimised phantom results / Witold Serwatka, Dominik RZEPKA, Hamza Oran, Katharina Steeg, Gabriele Krombach, Juliusz Stefański, Katarzyna HERYAN, Michael FRIEBE // Current Directions in Biomedical Engineering [Dokument elekroniczny]. — Czasopismo elektroniczne. — 2024 — vol. 10 iss. 4, s. 579-582. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 582, Abstr. — Publikacja dostępna online od: 2024-12-19. — Proceedings of the 58th annual meeting of the German Society of Biomedical Engineering : 18–20 September 2024, Stuttgart
Autorzy (8)
- AGHSerwatka Witold
- AGHRzepka Dominik
- AGHOran Hamza
- Steeg Katharina
- Krombach Gabriele
- AGHStefański Juliusz
- AGHHeryan Katarzyna
- AGHFriebe Michael
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 157915 |
|---|---|
| Data dodania do BaDAP | 2025-02-12 |
| Tekst źródłowy | URL |
| DOI | 10.1515/cdbme-2024-2142 |
| Rok publikacji | 2024 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Current Directions in Biomedical Engineering |
Abstract
Vibroacoustic signals generated by the interaction of moving clinical devices, e.g. an aspiration or biopsy needle, with different tissues creates a distinct signal. These signals can be received via a dedicated audio sensor and subsequently analysed with the potential to provide information about location, tissue characterisation, and event classification. With that it could also be used as an additional and complementary guidance tool particularly for future robotic assisted procedures. In our laboratory research we used different phantoms with animal and artificial tissues, audio pre-processing, and subsequent training and optimisation of a ResNet model with a tissue event detection F1 score of 95.3% when compared to video based annotation tool. This result is very encouraging, as several possible improvements have been identified that will be implemented in the next research steps together with a robot assisted insertion and an automatic video annotation algorithm.
