Objective To investigate the usefulness of inertial measurement units (IMUs) in the
assessment of motor function of the upper limb (UL) in accordance with the international …

Electronic supplementary material Studies of stroke patients undergoing robot-assisted
rehabilitation have revealed various kinematic parameters describing movement quality of …

To extend the use of wearable sensor networks for stroke patients training and assessment
in non-clinical settings, this paper proposes a novel remote quantitative Fugl-Meyer …

We propose a motion sensor data synthesis approach to investigate the performance effect
of sensor placement and orientation variation on health marker estimation. Using OpenSim …

Recent advancements in machine learning have enabled the use of long-term
accelerometry data collection and machine learning algorithms to quickly and accurately …

Various rehabilitation robots have been developed to assist the movement training of the
upper limbs of stroke patients, among which some have been used to evaluate the motor …

Background Machine learning (ML) techniques are being increasingly adopted in the
medical field. Objective We developed a deep neural network (DNN) model and applied 2 …

Background Upper-limb impairments in stroke patients are usually measured in clinical
setting using standard clinical assessment. In addition, kinematic analysis using opto …

Background and Purpose—This study investigated and compared the responsiveness and
validity of the Fugl-Meyer Assessment (FMA), the Action Research Arm Test (ARAT), and the …

Objective To investigate the validity and reliability of using the Valedo® system to measure
trunk Range of Motion (ROM) during performance of the streamlined Wolf Motor Function …