Details
| Original language | English |
|---|---|
| Article number | 108762 |
| Journal | Results in Engineering |
| Volume | 29 |
| Early online date | 24 Dec 2025 |
| Publication status | Published - Mar 2026 |
Abstract
This study investigates a pulsating fluid jet as a precise, minimally invasive and cold technique for bone cement removal. We utilize the pulsating fluid jet device to remove bone cement from samples designed to mimic clinical conditions. The effectiveness of a novel in-house designed long nozzle was tested to enable minimally invasive procedures. Audio signal monitoring, complemented by our introduced novel data correlation algorithm S4D-Bio, was employed to address challenges like visibility obstruction from splashing. The experiments aim to evaluate the effectiveness of our novel in-house designed long nozzle for minimally invasive removal of bone cement using a pulsating fluid jet as well as the prediction accuracy of the erosion rate. Within our experiments, we generate a comprehensive dataset of erosion profiles and their equivalent audio signals and make it available open-source. The use of SSMs yields experimentally demonstrated precise control over the predictive erosion process with a prediction accuracy of 98.93%. The study also demonstrates, that the pulsating fluid jet device, coupled with advanced audio monitoring techniques, is a highly effective cyber-physical system for estimating erosion depth under controlled conditions. On the other hand, this study presents the first application of SSMs in pulsating fluidjet surgery technology, marking a significant novelty. This research introduces the components of a future system for minimally invasive, cold and adaptive bone cement removal in orthopedic applications.
Keywords
- Audio monitoring, Erosion profiles, Machine learning, Pulsating fluid jet, Revision surgery, State space models
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
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In: Results in Engineering, Vol. 29, 108762, 03.2026.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Audio monitoring of bone cement disintegration in pulsating fluid jet surgery under laboratory conditions
AU - Schaller, Melanie
AU - Hloch, Sergej
AU - Nag, Akash
AU - Klichová, Dagmar
AU - Pude, Frank
AU - Zeleňák, Michal
AU - Janssen, Nick
AU - Rosenhahn, Bodo
N1 - Publisher Copyright: © 2025 Leibniz Universität Hannover.
PY - 2026/3
Y1 - 2026/3
N2 - This study investigates a pulsating fluid jet as a precise, minimally invasive and cold technique for bone cement removal. We utilize the pulsating fluid jet device to remove bone cement from samples designed to mimic clinical conditions. The effectiveness of a novel in-house designed long nozzle was tested to enable minimally invasive procedures. Audio signal monitoring, complemented by our introduced novel data correlation algorithm S4D-Bio, was employed to address challenges like visibility obstruction from splashing. The experiments aim to evaluate the effectiveness of our novel in-house designed long nozzle for minimally invasive removal of bone cement using a pulsating fluid jet as well as the prediction accuracy of the erosion rate. Within our experiments, we generate a comprehensive dataset of erosion profiles and their equivalent audio signals and make it available open-source. The use of SSMs yields experimentally demonstrated precise control over the predictive erosion process with a prediction accuracy of 98.93%. The study also demonstrates, that the pulsating fluid jet device, coupled with advanced audio monitoring techniques, is a highly effective cyber-physical system for estimating erosion depth under controlled conditions. On the other hand, this study presents the first application of SSMs in pulsating fluidjet surgery technology, marking a significant novelty. This research introduces the components of a future system for minimally invasive, cold and adaptive bone cement removal in orthopedic applications.
AB - This study investigates a pulsating fluid jet as a precise, minimally invasive and cold technique for bone cement removal. We utilize the pulsating fluid jet device to remove bone cement from samples designed to mimic clinical conditions. The effectiveness of a novel in-house designed long nozzle was tested to enable minimally invasive procedures. Audio signal monitoring, complemented by our introduced novel data correlation algorithm S4D-Bio, was employed to address challenges like visibility obstruction from splashing. The experiments aim to evaluate the effectiveness of our novel in-house designed long nozzle for minimally invasive removal of bone cement using a pulsating fluid jet as well as the prediction accuracy of the erosion rate. Within our experiments, we generate a comprehensive dataset of erosion profiles and their equivalent audio signals and make it available open-source. The use of SSMs yields experimentally demonstrated precise control over the predictive erosion process with a prediction accuracy of 98.93%. The study also demonstrates, that the pulsating fluid jet device, coupled with advanced audio monitoring techniques, is a highly effective cyber-physical system for estimating erosion depth under controlled conditions. On the other hand, this study presents the first application of SSMs in pulsating fluidjet surgery technology, marking a significant novelty. This research introduces the components of a future system for minimally invasive, cold and adaptive bone cement removal in orthopedic applications.
KW - Audio monitoring
KW - Erosion profiles
KW - Machine learning
KW - Pulsating fluid jet
KW - Revision surgery
KW - State space models
UR - http://www.scopus.com/inward/record.url?scp=105026310772&partnerID=8YFLogxK
U2 - 10.1016/j.rineng.2025.108762
DO - 10.1016/j.rineng.2025.108762
M3 - Article
AN - SCOPUS:105026310772
VL - 29
JO - Results in Engineering
JF - Results in Engineering
M1 - 108762
ER -