Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series

• URL: http://arxiv.org/abs/2504.21209v1
• Date: Tue, 29 Apr 2025 22:28:06 GMT
• Title: Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series
• Authors: Xuhang Chen, Ihsane Olakorede, Stefan Yu Bögli, Wenhao Xu, Erta Beqiri, Xuemeng Li, Chenyu Tang, Zeyu Gao, Shuo Gao, Ari Ercole, Peter Smielewski,
• Abstract summary: Artefacts compromise clinical decision-making in the use of medical time series.<n>We introduce a generalised label-free framework, GenClean, for real-time artefact detection.
• Score: 3.8195510803972454
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Artefacts compromise clinical decision-making in the use of medical time series. Pulsatile waveforms offer probabilities for accurate artefact detection, yet most approaches rely on supervised manners and overlook patient-level distribution shifts. To address these issues, we introduce a generalised label-free framework, GenClean, for real-time artefact cleaning and leverage an in-house dataset of 180,000 ten-second arterial blood pressure (ABP) samples for training. We first investigate patient-level generalisation, demonstrating robust performances under both intra- and inter-patient distribution shifts. We further validate its effectiveness through challenging cross-disease cohort experiments on the MIMIC-III database. Additionally, we extend our method to photoplethysmography (PPG), highlighting its applicability to diverse medical pulsatile signals. Finally, its integration into ICM+, a clinical research monitoring software, confirms the real-time feasibility of our framework, emphasising its practical utility in continuous physiological monitoring. This work provides a foundational step toward precision medicine in improving the reliability of high-resolution medical time series analysis

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