Characterisation of ICU sleep by a commercially available activity tracker and its agreement with patient-perceived sleep quality

Abstract

A low-cost, quantitative method to evaluate sleep in the intensive care unit (ICU) that is both feasible for routine clinical practice and reliable does not yet exist. We characterised nocturnal ICU sleep using a commercially available activity tracker and evaluated agreement between tracker-derived sleep data and patient-perceived sleep quality.

Yuan Du

Senior Data Scientist

My interests include applied Statistics, Machine Learning, Deep Learning and Healthcare.