Omkar2118/datasets huggingface dataset:
Bone Cement Removal with Audio-Monitoring
Full name: Bone Cement Removal with Audio-Monitoring and Erosion Depth

This dataset comprises extensive multi-modal data related to the experimental study of ultrasonically excited pulsating fluid jets used for bone cement removal. Conducted at the Institute of Geonics, Ostrava, Czech Republic, the study explores the effect of varying standoff distances on erosion profiles, under controlled parameters including a fixed nozzle diameter, sonotrode frequency, supply pressure, and robot arm velocity. The dataset includes numerical data representing ablation profiles, captured as a large CSV file, and audio recordings captured using a high-resolution microphone. Ablation profiles are measured at standoff distances that span several discrete lengths, ensuring diverse sample conditions. The audio data derives from high-fidelity recordings at a 38.4 kHz sampling rate in .wav format, capturing the fluid jet's impact sounds as it interacts initially with a metal plate and subsequently with the bone cement. This audio information was processed into Mel Spectrograms, which efficiently capture the frequency distribution crucial for predictive analysis. The dataset is organized into training and testing subsets, with the initial portions used to train predictive models leveraging Mel Spectrogram inputs to predict erosion profiles. This dataset offers insights into the dynamic interactions between a pulsating fluid jet and target materials, providing a foundation for predictive modeling in non-invasive surgical procedures.

Introducing paper: S4D-Bio Audio Monitoring of Bone Cement Disintegration in Pulsating Fluid Jet Surgery under Laboratory Conditions