31 citations · 33 across the 5 of their papers we have counts for
5 papers
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…
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…
A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life
Chenyu Tang, Wentian Yi, Muzi Xu +6
In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-rel…
Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data
Mengtian Kang, Yansong Hu, Shuo Gao +13
Childhood myopia constitutes a significant global health concern. It exhibits an escalating prevalence and has the potential to evolve into severe, irreversible conditions that det…
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…