Key result
An open-source framework was developed to generate synthetic post-dive Doppler ultrasound audio, producing 243,000 audio files to aid in the development of automated venous gas emboli assessment.
Why the study?
Automated signal-processing methods to assess venous gas emboli on Doppler ultrasound rely on limited real-world datasets lacking ground truth values, preventing objective evaluation.
Provides an open-source framework for generating synthetic post-dive Doppler ultrasound data to accelerate the development of signal processing techniques for venous gas emboli analysis.
Doppler ultrasound (DU) measurements are used to detect and evaluate venous gas emboli (VGE) formed after decompression. Automated methodologies for assessing VGE presence using signal processing have been developed on varying real-world datasets of limited size and without ground truth values preventing objective evaluation. We develop and report a method to generate synthetic post-dive data using DU signals collected in both precordium and subclavian vein with varying degrees of bubbling matching field-standard grading metrics. This method is adaptable, modifiable, and reproducible, allowing for researchers to tune the produced dataset for their desired purpose. We provide the baseline Doppler recordings and code required to generate synthetic data for researchers to reproduce our work and improve upon it. We also provide a set of pre-made synthetic post-dive DU data spanning six scenarios representing the Spencer and Kisman-Masurel (KM) grading scales as well as precordial and subclavian DU recordings. By providing a method for synthetic post-dive DU data generation, we aim to improve and accelerate the development of signal processing techniques for VGE analysis in Doppler ultrasound.
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Le et al. (2023) studied Venous gas emboli (VGE) / Decompression sickness (n=91). Synthetic post-dive Doppler ultrasound audio generation framework was evaluated on Generation of synthetic post-dive Doppler ultrasound audio data. An open-source framework was developed to generate synthetic post-dive Doppler ultrasound audio, producing 243,000 audio files to aid in the development of automated venous gas emboli assessment.
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