Grasp recognition with spatiotemporal deep learning and proximity sensors in transradial prostheses

The traumatic loss of a hand is a horrific experience usually followed by significant psychological, functional and rehabilitation challenges. Even though much progress has been made in the past decades, the prosthetic challenge of restoring the human hand functionality is still far from being achieved. Autonomous prosthetic hands showed...

A deep learning approach to (semi-) automatically track bone movement in ultrasound images of patients with a unilateral transtibial prosthesis

Background: The procedure to fit a prosthetic socket to a patient, which can assure the patient’s comfort during activities of daily living, is labour intensive. Such a lengthy procedure could benefit from an automated and more efficient data-driven method capable of automatically tracking the relative movement between the patient’s tibia and...