Investigating Activity Recognition for Hemiparetic Stroke Patients Using Wearable Sensors: A Deep Learning Approach with Data Augmentation.

Measuring the daily use of an affected limb after hospital discharge is crucial for hemiparetic stroke rehabilitation. Classifying movements using non-intrusive wearable sensors provides context for arm use and is essential for the development of a home rehabilitation system. However, the movement classification of stroke patients poses unique challenges, including variability and sparsity.

The relationship between person-centred care and the intensive care unit experience of critically ill patients: A multicentre cross-sectional survey.

Background: Person-centred care has the potential to improve the patient experience in the intensive care unit (ICU). However, the relationship between person-centred care perceived by critically ill patients and their ICU experience has yet to be determined.

Objectives: The aim of this study was to investigate the relationship between person-centred care and the ICU experience of critically ill patients.