Hand dysfunction is a common and persistent problem among stroke survivors. Recent studies show that approximately 80% of stroke patients experience difficulties with hand function, particularly in finger grasping, which significantly impacts daily activities and quality of life. Recovery of hand function post-stroke is often more challenging than that of other limbs due to the complexity of fine motor skills required for hand movements.
In traditional treatment the therapist assesses the patient’s conditions through observation, communication, questionnaires, and functional tests like the Box and Block Test. Additionally, new studies suggest the usage of robot-assisted therapy allowing the physician to prescribe exercises that can then be guided by the robot rather than the therapist. Consequently, it is very beneficial/necessary to be able to detect those hand movements in a very precise way.
Our Mission
Our objective is to develop a data glove capable of measuring hand movements and evaluating hand function in stroke patients, thereby facilitating patient-specific therapy planning.