3 papers
eess.SP2025
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series
Xuhang Chen, Ihsane Olakorede, Stefan Yu Bögli +8
Artefacts compromise clinical decision-making in the use of medical time series. Pulsatile waveforms offer probabilities for accurate artefact detection, yet most approaches rely o…
eess.AS2024
Wearable intelligent throat enables natural speech in stroke patients with dysarthria
Chenyu Tang, Shuo Gao, Cong Li +20
Wearable silent speech systems hold significant potential for restoring communication in patients with speech impairments. However, seamless, coherent speech remains elusive, and c…
stat.ML2019
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning
Tom Edinburgh, Peter Smielewski, Marek Czosnyka +2
Waveform physiological data is important in the treatment of critically ill patients in the intensive care unit. Such recordings are susceptible to artefacts, which must be removed…