Audio monitoring of bone cement disintegration in pulsating fluid jet surgery under laboratory conditions

dc.contributor.authorSchaller, Melanie
dc.contributor.authorHloch, Sergej
dc.contributor.authorNag, Akash
dc.contributor.authorKlichová, Dagmar
dc.contributor.authorPude, Frank
dc.contributor.authorZeleňák, Michal
dc.contributor.authorJanssen, Nick
dc.contributor.authorRosenhahn, Bodo
dc.date.accessioned2026-05-25T08:21:58Z
dc.date.available2026-05-25T08:21:58Z
dc.date.issued2026
dc.description.abstractThis 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.firstpageart. no. 108762
dc.description.sourceWeb of Science
dc.description.volume29
dc.identifier.citationResults in Engineering. 2026, vol. 29, art. no. 108762.
dc.identifier.doi10.1016/j.rineng.2025.108762
dc.identifier.issn2590-1230
dc.identifier.urihttp://hdl.handle.net/10084/158684
dc.identifier.wos001663696000007
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofseriesResults in Engineering
dc.relation.urihttps://doi.org/10.1016/j.rineng.2025.108762
dc.rights© 2025 Leibniz Universität Hannover. Published by Elsevier B.V.
dc.rights.accessopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectstate space models
dc.subjectmachine learning
dc.subjectpulsating fluid jet
dc.subjectaudio monitoring
dc.subjecterosion profiles
dc.subjectrevision surgery
dc.titleAudio monitoring of bone cement disintegration in pulsating fluid jet surgery under laboratory conditions
dc.typearticle
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion
local.files.count1
local.files.size11705978
local.has.filesyes

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