Audio monitoring of bone cement disintegration in pulsating fluid jet surgery under laboratory conditions
| dc.contributor.author | Schaller, Melanie | |
| dc.contributor.author | Hloch, Sergej | |
| dc.contributor.author | Nag, Akash | |
| dc.contributor.author | Klichová, Dagmar | |
| dc.contributor.author | Pude, Frank | |
| dc.contributor.author | Zeleňák, Michal | |
| dc.contributor.author | Janssen, Nick | |
| dc.contributor.author | Rosenhahn, Bodo | |
| dc.date.accessioned | 2026-05-25T08:21:58Z | |
| dc.date.available | 2026-05-25T08:21:58Z | |
| dc.date.issued | 2026 | |
| dc.description.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. | |
| dc.description.firstpage | art. no. 108762 | |
| dc.description.source | Web of Science | |
| dc.description.volume | 29 | |
| dc.identifier.citation | Results in Engineering. 2026, vol. 29, art. no. 108762. | |
| dc.identifier.doi | 10.1016/j.rineng.2025.108762 | |
| dc.identifier.issn | 2590-1230 | |
| dc.identifier.uri | http://hdl.handle.net/10084/158684 | |
| dc.identifier.wos | 001663696000007 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.relation.ispartofseries | Results in Engineering | |
| dc.relation.uri | https://doi.org/10.1016/j.rineng.2025.108762 | |
| dc.rights | © 2025 Leibniz Universität Hannover. Published by Elsevier B.V. | |
| dc.rights.access | openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | state space models | |
| dc.subject | machine learning | |
| dc.subject | pulsating fluid jet | |
| dc.subject | audio monitoring | |
| dc.subject | erosion profiles | |
| dc.subject | revision surgery | |
| dc.title | Audio monitoring of bone cement disintegration in pulsating fluid jet surgery under laboratory conditions | |
| dc.type | article | |
| dc.type.status | Peer-reviewed | |
| dc.type.version | publishedVersion | |
| local.files.count | 1 | |
| local.files.size | 11705978 | |
| local.has.files | yes |