Objective To perform a systematic review of studies using remote physical activity monitoring
in neurological diseases, highlighting advances and determining gaps. Methods Studies …

Background/aim Stroke is a leading cause of disability in developed countries. One of the
most widespread techniques in clinical practice is mirror therapy (MT). To determine the …

Background The ultimate goal of upper extremity (UE) stroke rehabilitation is for the
individual with stroke to return using their arms and hands during daily activities in their own …

The ultimate goal of upper-limb rehabilitation after stroke is to promote real-world use, that
is, use of the paretic upper-limb in everyday activities outside the clinic or laboratory …

Current clinical practice does not leverage electroencephalography (EEG) measurements in
stroke patients, despite its potential to contribute to post-stroke recovery predictions. We …

Mirror therapy (MT) as a relatively new rehabilitation technique has been widely applied in
stroke patients. A number of randomized controlled trials (RCTs) have investigated the …

Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …

Background The Predict Recovery Potential algorithm (PREP2) was developed to predict
upper limb (UL) function early after stroke. However, assessment in the acute phase is not …

Evidence suggests that inactivity during a hospital stay is associated with poor health
outcomes in older medical inpatients. We aimed to estimate the associations of average …

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