Background The International Classification of Functioning, Disability, and Health (ICF)
model has been applied in post-stroke rehabilitation, yet limited studies explored its clinical …

Background Body functions and structures, activities, and participation are the core
components in the International Classification of Functioning, Disability, and Health (ICF) to …

Background: The complex nature of stroke sequelae, the heterogeneity in rehabilitation
pathways, and the lack of validated prediction models of rehabilitation outcomes challenge …

Objectives: Rehabilitation interventions are expected to ensure best possible recovery and
minimize functional disability in stroke survivors. However, not many studies have …

Robotic-assisted devices are known to positively affect the recovery of one specific motor
effector after stroke. However, it has widely been reported that the functional status of …

Objective. The overall aim of this thesis was to evaluate the biopsychosocial consequences
after stroke and test the validity of the ICF Core Sets for Stroke during one year post-stroke …

Abstract Background Machine Learning is increasingly used to predict rehabilitation
outcomes in stroke in the context of precision rehabilitation and patient-centered care …

Objective This scoping review aims to identify how pre-stroke physical activity has been
studied in relation to outcomes after stroke using the International Classification of …

BACKGROUND: Functional autonomy and social inclusion are of key importance for stroke
patient's rehabilitation. OBJECTIVE: To evaluate activity and participation of chronic stroke …

The sixth update of the Canadian Stroke Best Practice Recommendations: Rehabilitation,
Recovery, and Reintegration following Stroke. Part one: Rehabilitation and Recovery …