Most stroke survivors have difficulties completing activities of daily living (ADLs)
independently. However, few rehabilitation systems have focused on ADLs-related training …

Stroke often leads to hand motor dysfunction, and effective rehabilitation requires keeping
patients engaged and motivated. Among the existing automated rehabilitation approaches …

Wearable hand robots are becoming an attractive means in the facilitating of assistance with
daily living and hand rehabilitation exercises for patients after stroke. Pattern recognition is a …

Brain–computer interfaces can be used for motor substitution and recovery; therefore,
detection and classification of movement intention are crucial for optimal control. In this …

In this paper, we present a deep learning framework “Rehab-Net” for effectively classifying
three upper limb movements of the human arm, involving extension, flexion, and rotation of …

In clinical practice, acute post-stroke paresis of the extremities fundamentally complicates
timely rehabilitation of motor functions; however, recently, residual and distorted …

We studied the performance of a robotic orthosis designed to assist the paretic hand after
stroke. It is wearable and fully user-controlled, serving two possible roles: as a therapeutic …

High-dosage motor practice can significantly contribute to achieving functional recovery after
a stroke. Performing rehabilitation exercises at home and using, or attempting to use, the …

Quantitative assessment of hand function can assist therapists in providing appropriate
rehabilitation strategies, which plays an essential role in post-stroke rehabilitation …

Nowadays, rehabilitation training for stroke survivors is mainly completed under the
guidance of the physician. There are various treatment ways, however, most of them are …