Initial findings creating a temperature prediction model using vibroacoustic signals originating from tissue needle interactions

Initial findings creating a temperature prediction model using vibroacoustic signals originating from tissue needle interactions

Abstract This research explores the acquisition and analysis of vibroacoustic signals generated during tissue-tool interactions, using a conventional aspiration needle enhanced with a proximally mounted MEMS audio sensor, to extract temperature information. Minimally invasive temperature monitoring...

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Bibliographic Details
Main Authors: Michael Friebe, Witold Serwatka, Katharina Steeg, Gabriele Krombach, Hamza Oran, Oğuzhan Berke Özdil, Katarzyna Heryan, Axel Boese, Alfredo Illanes, Dominik Rzepka
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Tissue temperature
Thermotherapy
Thermal monitoring
Minimal-invasive therapy
Vibroacoustic signals
Online Access:https://doi.org/10.1038/s41598-025-92202-6
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https://doi.org/10.1038/s41598-025-92202-6

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