A convolutional variational autoencoder trained only on clean ICU arterial blood pressure data detects waveform artefacts at about 90% sensitivity and specificity and outperforms PCA reconstruction.
Heart rate variability in critical care medicine: a systematic review,
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DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning
A convolutional variational autoencoder trained only on clean ICU arterial blood pressure data detects waveform artefacts at about 90% sensitivity and specificity and outperforms PCA reconstruction.