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

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.

Description

Delayed publication

Available after

Subject(s)

state space models, machine learning, pulsating fluid jet, audio monitoring, erosion profiles, revision surgery

Citation

Results in Engineering. 2026, vol. 29, art. no. 108762.